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1125-129 10.1055/a-1030-3232 gockel Ines I Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Jansen-winkeln Boris B Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Sucher Robert R Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Rayes Nada N Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Thieme René R Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Moulla Yusef Y Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Niebisch Stefan S Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Rademacher Sebastian S Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Seehofer Daniel D Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Schierle Katrin K Institut für pathologie, Universitätsklinikum Leipzig AöR, Deutschland. Bläker Hendrik H Institut für pathologie, Universitätsklinikum Leipzig AöR, Deutschland. Neumuth Thomas T innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Melzer Andreas A innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Maktabi Marianne M innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Köhler Hannes H innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Chalopin Claire C innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Ger journal article hyperspektral-imaging (HSI) -- eine verlässliche gewebedifferenzierung? 2020 04 08
I. Gockel, B. Jansen-Winkeln, R. Sucher, N. Rayes, R. Thieme, Y. Moulla, S. Niebisch, S. Rademacher, D. Seehofer, K. Schierle and 6 other author(s). Zentralbl. Chir., 145 (2): 125--129 (April 2020)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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13D Deep Learning for Biological Function Prediction from Physical Fields
V. Golkov, M. Skwark, A. Mirchev, G. Dikov, A. Geanes, J. Mendenhall, J. Meiler, and D. Cremers. 2020 International Conference on 3D Vision (3DV), (November 2020)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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13D-QSAR CoMFA study of benzoxazepine derivatives as mGluR5 positive allosteric modulators
E. Lowe, A. Ferrebee, A. Rodriguez, P. Conn, and J. Meiler. Bioorganic & Medicinal Chemistry Letters, 20 (19): 5922â5924 (October 2010)
19 hours ago by @scadsfct
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topic_lifescience
importedtopic_lifescience
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1A belowground perspective on the nexus between biodiversity change, climate change, and human well-being
N. Eisenhauer, K. Frank, A. Weigelt, B. Bartkowski, R. Beugnon, K. Liebal, M. Mahecha, M. Quaas, D. Al-Halbouni, A. Bastos and 38 other author(s). Journal of Sustainable Agriculture and Environment, 3 (2): e212108 (2024)
2 months ago by @scadsfct
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change,
well-being,
biodiversity
topic_earthenvironment
topic_lifescience
climate
soil
human
change,well-being,biodiversitytopic_earthenvironmenttopic_lifescienceclimatesoilhuman
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1A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes
M. Seiler, R. Prager, P. Kerschke, and H. Trautmann. Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)
2 months ago by @scadsfct
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topic_lifescience
topic_engineering
topic_lifesciencetopic_engineering
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1A combined experimental and theoretical study of 1,4-bis(phenylethynyl)-2,5-bis(ethoxy)benzene adsorption on Au(111)
M. Lokamani, J. Kelling, R. Ohmann, J. Meyer, T. Kühne, G. Cuniberti, J. Wolf, T. Huhn, P. Zahn, F. Moresco and 1 other author(s). Surf. Sci., 712 (121877): 121877 (October 2021)
2 months ago by @scadsfct
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topic_lifescience
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1A community effort in SARS‐CoV‐2 drug discovery
J. Schimunek, P. Seidl, K. Elez, T. Hempel, T. Le, F. Noé, S. Olsson, L. Raich, R. Winter, H. Gokcan and 142 other author(s). Molecular Informatics, (November 2023)
4 days ago by @scadsfct
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importedtopic_lifescience
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1A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data
N. Ahmadi, Q. Nguyen, M. Sedlmayr, and M. Wolfien. Scientific Reports, 14 (1): 2287 (January 2024)
2 months ago by @scadsfct
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topic_lifescience
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1A Distributed Algebra System for Time Integration on Parallel Computers
A. Singh, L. Kraatz, P. Incardona, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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topic_lifescience
importedtopic_lifescience
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1A Gaussian jump process formulation of the reaction�diffusion master equation enables faster exact stochastic simulations
T. Subic, and I. Sbalzarini. The Journal of Chemical Physics, (November 2022)
a month ago by @scadsfct
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importedtopic_lifescience
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1A genome-wide scan of wastewater E. coli for genes under positive selection: focusing on mechanisms of antibiotic resistance
N. Malekian, A. Agrawal, T. Berendonk, A. Al-Fatlawi, and M. Schroeder. Scientific Reports, (May 2022)
4 days ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1A high-order fully Lagrangian particle level-set method for dynamic surfaces
L. Schulze, S. Veettil, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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importedtopic_lifescience
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1A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)
M. Pippel, D. Jebb, F. Patzold, S. Winkler, H. Vogel, G. Myers, M. Hiller, and A. Hundsdoerfer. Gigascience, (January 2020)
2 months ago by @scadsfct
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genome
comparison
hawkmoth-silk
gene
annotation;
moth
topic_lifescience
reads;
long
assembly;
PacBio
genomecomparisonhawkmoth-silkgeneannotation;mothtopic_lifesciencereads;longassembly;PacBio
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1A Mastodon Corpus to Evaluate Federated Microblog Search
M. Wiegmann, J. Reimer, M. Ernst, M. Potthast, M. Hagen, and B. Stein. Proceedings of the First International Workshop on Open Web Search (WOWS 2024), 3689, page 37--49. CEUR Workshop Proceedings, (March 2024)
2 months ago by @scadsfct
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topic_language
topic_lifescience
topic_languagetopic_lifescience
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2A multitask deep-learning method for predicting membrane associations and secondary structures of proteins
B. Li, J. Mendenhall, J. Capra, and J. Meiler. J. Proteome Res., 20 (8): 4089--4100 (August 2021)
2 months ago by @scadsfct
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multitask
convolutional
prediction;
memory
transmembrane
deep
learning;
neural
networks;
topology
long
short-term
structure
secondary
topic_lifescience
prediction
multitaskconvolutionalprediction;memorytransmembranedeeplearning;neuralnetworks;topologylongshort-termstructuresecondarytopic_lifescienceprediction
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2A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins
B. Li, J. Mendenhall, J. Capra, and J. Meiler. Journal of Proteome Research, 20 (8): 4089â4100 (July 2021)
19 hours ago by @scadsfct
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topic_lifescience
importedtopic_lifescience
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1A Novel Method for Guiding Protein-Ligand Docking with QSAR-Derived Pharmacophore Maps
S. DeLuca, and J. Meiler. Biophysical Journal, 100 (3): 394aâ395a (February 2011)
19 hours ago by @scadsfct
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importedtopic_lifescience
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1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence
A. Singh, P. Suhrcke, P. Incardona, and I. Sbalzarini. Physics of Fluids, (October 2023)
a month ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1A portable C++ library for memory and compute abstraction on multi?core CPUs and GPUs
P. Incardona, A. Gupta, S. Yaskovets, and I. Sbalzarini. Concurrency and Computation: Practice and Experience, (July 2023)
a month ago by @scadsfct
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imported
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importedtopic_lifescience
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1A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer
M. Rade, M. Kreuz, A. Borkowetz, U. Sommer, C. Blumert, S. Füssel, C. Bertram, D. Löffler, D. Otto, L. Wöller and 9 other author(s). Molecular Medicine, 30 (1): 19 (February 2024)
2 months ago by @scadsfct
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topic_lifescience
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1A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation
M. Rade, S. Böhlen, V. Neuhaus, D. Löffler, C. Blumert, M. Merz, U. Köhl, S. Dehmel, K. Sewald, and K. Reiche. Genome Biol., 24 (1): 287 (December 2023)
2 months ago by @scadsfct
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activation;
profiles;
gene
T-cell
Transcriptome
Time
matrix
factorization;
Biomarkers;
Non-negative
expression;
Gene
Temporal
topic_lifescience
series;
activation;profiles;geneT-cellTranscriptomeTimematrixfactorization;Biomarkers;Non-negativeexpression;GeneTemporaltopic_lifescienceseries;
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1A unified hydrophobicity scale for multispan membrane proteins
J. Koehler, N. Woetzel, R. Staritzbichler, C. Sanders, and J. Meiler. Proteins: Structure, Function, and Bioinformatics, 76 (1): 13â29 (December 2008)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems
S. Perez, S. Maddu, I. Sbalzarini, and P. Poncet. J. Comput. Phys., (2023)
a month ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors
Y. Liu, R. Moretti, Y. Wang, H. Dong, B. Yan, B. Bodenheimer, T. Derr, and J. Meiler. (April 2023)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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2An Active Learning Framework Improves Tumor Variant Interpretation
A. Blee, B. Li, T. Pecen, J. Meiler, Z. Nagel, J. Capra, and W. Chazin. Cancer Research, 82 (15): 2704â2715 (June 2022)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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2An active learning framework improves tumor variant interpretation
A. Blee, B. Li, T. Pecen, J. Meiler, Z. Nagel, J. Capra, and W. Chazin. Cancer Res., 82 (15): 2704--2715 (August 2022)
2 months ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1An empirical comparison of web page segmentation algorithms
J. Kiesel, L. Meyer, F. Kneist, B. Stein, and M. Potthast. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2021)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1An interaction-based drug discovery screen explains known SARS-CoV-2 inhibitors and predicts new compound scaffolds
P. Schake, K. Dishnica, F. Kaiser, C. Leberecht, V. Haupt, and M. Schroeder. Scientific Reports, (June 2023)
4 days ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Analysis of GPRC6A variants in different pancreatitis etiologies
T. Kaune, C. Ruffert, N. Hesselbarth, M. Damm, S. Krug, J. Cardinal von Widdern, E. Masson, J. Chen, V. Rebours, L. Buscail and 23 other author(s). Pancreatology, 20 (7): 1262--1267 (October 2020)
2 months ago by @scadsfct
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G-Protein
Calcium;
Pancreatitis
Inflammation;
topic_lifescience
coupled
Genetics;
receptor;
G-ProteinCalcium;PancreatitisInflammation;topic_lifesciencecoupledGenetics;receptor;
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1Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark
M. Susik, and I. Sbalzarini. Forensic Science International: Genetics, (2023)
a month ago by @scadsfct
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genotyping,
DNA
Probabilistic
topic_lifescience
Validation,
mixtures,
HMC
genotyping,DNAProbabilistictopic_lifescienceValidation,mixtures,HMC
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1Application of machine learning approaches on quantitative structure activity relationships
M. Butkiewicz, R. Mueller, D. Selic, E. Dawson, and J. Meiler. 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, (March 2009)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Approximating conformational Boltzmann distributions with AlphaFold2 predictions
B. Brown, R. Stein, J. Meiler, and H. Mchaourab. (August 2023)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Approximating Projections of Conformational Boltzmann Distributions with AlphaFold2 Predictions: Opportunities and Limitations
B. Brown, R. Stein, J. Meiler, and H. Mchaourab. Journal of Chemical Theory and Computation, 20 (3): 1434â1447 (January 2024)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Argumentation frameworks induced by assumption-based argumentation: Relating size and complexity
T. Lehtonen, A. Rapberger, M. Ulbricht, and J. Wallner. Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, page 440--450. California, International Joint Conferences on Artificial Intelligence Organization, (September 2023)
2 months ago by @scadsfct
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topic_knowledge
topic_lifescience
topic_knowledgetopic_lifescience
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1Artificial intelligence in Barrett's oesophagus and the need for shared and combined data
R. Schmitz, and J. Kather. United European Gastroenterol. J., 10 (6): 525--527 (July 2022)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D. Nam, J. Chapiro, V. Paradis, T. Seraphin, and J. Kather. JHEP Rep., 4 (4): 100443 (April 2022)
2 months ago by @scadsfct
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a
disease;
HCC,
or
intelligence;
liver
multivariable
non-alcoholic
multimodal
ML,
artificial
WSIs,
images;
prediction
support
integration
TACE,
DICOM,
AI,
network;
deep
neural
Digital
Diagnosis;
MVI,
transarterial
fatty
topic_lifescience
microvascular
convolutional
in
learning;
imaging;
Communications
invasion;
NAFLD,
chemoembolisation;
hepatocellular
Reporting
steatohepatitis;
Transparent
Individual
slide
machine
Prognosis
Artificial
data
for
NASH,
whole
Medicine;
TRIPOD,
of
CNN,
and
Imaging
carcinoma;
diagnostic
system;
model
adisease;HCC,orintelligence;livermultivariablenon-alcoholicmultimodalML,artificialWSIs,images;predictionsupportintegrationTACE,DICOM,AI,network;deepneuralDigitalDiagnosis;MVI,transarterialfattytopic_lifesciencemicrovascularconvolutionalinlearning;imaging;Communicationsinvasion;NAFLD,chemoembolisation;hepatocellularReportingsteatohepatitis;TransparentIndividualslidemachinePrognosisArtificialdataforNASH,wholeMedicine;TRIPOD,ofCNN,andImagingcarcinoma;diagnosticsystem;model
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1Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology
Q. Zeng, C. Klein, S. Caruso, P. Maille, N. Laleh, D. Sommacale, A. Laurent, G. Amaddeo, D. Gentien, A. Rapinat and 10 other author(s). J. Hepatol., 77 (1): 116--127 (July 2022)
2 months ago by @scadsfct
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image
artificial
immune
intelligence;
pathology;
gene
deep
learning;
signatures;
slide
topic_lifescience
whole
imageartificialimmuneintelligence;pathology;genedeeplearning;signatures;slidetopic_lifesciencewhole
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1Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes
A. Salybekov, M. Wolfien, W. Hahn, S. Hidaka, and S. Kobayashi. Biomedicines, (2024)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Artificial intelligence to identify genetic alterations in conventional histopathology
D. Cifci, S. Foersch, and J. Kather. J. Pathol., 257 (4): 430--444 (July 2022)
2 months ago by @scadsfct
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image
artificial
oncology
intelligence;
precision
topic_lifescience
analysis;
biomarker;
imageartificialoncologyintelligence;precisiontopic_lifescienceanalysis;biomarker;
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1Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?
C. Loeffler, N. Ortiz Bruechle, M. Jung, L. Seillier, M. Rose, N. Laleh, R. Knuechel, T. Brinker, C. Trautwein, N. Gaisa and 1 other author(s). Eur. Urol. Focus, 8 (2): 472--479 (March 2022)
2 months ago by @scadsfct
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Artificial
intelligence;
learning;
therapy
for
Deep
mutations;
Bladder
cancer;
Molecular
fibroblast
receptor
testing
topic_lifescience
growth
factor
FGFR3
Artificialintelligence;learning;therapyforDeepmutations;Bladdercancer;Molecularfibroblastreceptortestingtopic_lifesciencegrowthfactorFGFR3
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1Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign
G. Sliwoski, J. Mendenhall, and J. Meiler. Journal of Computer-Aided Molecular Design, 30 (3): 209â217 (December 2015)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods
R. Prager, M. Seiler, H. Trautmann, and P. Kerschke. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)
2 months ago by @scadsfct
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topic_lifescience
topic_engineering
topic_lifesciencetopic_engineering
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1Automated Structure Elucidation of Organic Molecules from 13C NMR Spectra Using Genetic Algorithms and Neural Networks
J. Meiler, and M. Will. Journal of Chemical Information and Computer Sciences, 41 (6): 1535â1546 (October 2001)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Backbone chemical shift and secondary structure assignments for mouse siderocalin
J. Moeller, N. Bozhanova, M. Voehler, J. Meiler, and C. Schoeder. Biomolecular NMR Assignments, 18 (1): 79--84 (2024)
4 days ago by @scadsfct
show all tags
secondary_structure_assignment
topic_lifescience
mouse_siderocalin
backbone_chemical_shift
secondary_structure_assignmenttopic_lifesciencemouse_siderocalinbackbone_chemical_shift
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1Bcl&#x2237;ChemInfo - Qualitative analysis of machine learning models for activation of HSD involved in Alzheimerâs Disease
M. Butkiewicz, E. Lowe, and J. Meiler. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), (May 2012)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1BCL::Conf: Improved open-source knowledge-based conformation sampling using the Crystallography Open Database
J. Mendenhall, B. Brown, S. Kothiwale, and J. Meiler. J. Chem. Inf. Model., 61 (1): 189--201 (January 2021)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1BCL::EMAS â Enantioselective Molecular Asymmetry Descriptor for 3D-QSAR
G. Sliwoski, E. Lowe, M. Butkiewicz, and J. Meiler. Molecules, 17 (8): 9971â9989 (August 2012)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1BCL::Mol2Dâa robust atom environment descriptor for QSAR modeling and lead optimization
O. Vu, J. Mendenhall, D. Altarawy, and J. Meiler. Journal of Computer-Aided Molecular Design, 33 (5): 477â486 (April 2019)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking AlphaFold2 on peptide structure prediction
E. McDonald, T. Jones, L. Plate, J. Meiler, and A. Gulsevin. Structure, 31 (1): 111-119.e2 (January 2023)
2 months ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking AlphaMissense pathogenicity predictions against cystic fibrosis variants
E. McDonald, K. Oliver, J. Schlebach, J. Meiler, and L. Plate. PLOS ONE, 19 (1): e0297560 (January 2024)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking AlphaMissense Pathogenicity Predictions Against Cystic Fibrosis Variants
E. McDonald, K. Oliver, J. Schlebach, J. Meiler, and L. Plate. (October 2023)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking Ligand-Based Virtual High-Throughput Screening with the PubChem Database
M. Butkiewicz, E. Lowe, R. Mueller, J. Mendenhall, P. Teixeira, C. Weaver, and J. Meiler. Molecules, 18 (1): 735â756 (January 2013)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking Peptide Structure Prediction with AlphaFold2
A. Gulsevin, and J. Meiler. (February 2022)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
N. Ghaffari Laleh, H. Muti, C. Loeffler, A. Echle, O. Saldanha, F. Mahmood, M. Lu, C. Trautwein, R. Langer, B. Dislich and 13 other author(s). Med. Image Anal., 79 (102474): 102474 (July 2022)
2 months ago by @scadsfct
show all tags
Convolutional
Artificial
intelligence;
Multiple-Instance
deep
neural
networks;
learning
Weakly-supervised
Learning;
transformers;
pathology;
topic_lifescience
Vision
Computational
ConvolutionalArtificialintelligence;Multiple-Instancedeepneuralnetworks;learningWeakly-supervisedLearning;transformers;pathology;topic_lifescienceVisionComputational
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1Better a Microbenchmark on a Cluster than a User at the Office: Flink Cluster Benchmarking
D. Reichelt, L. Meyer, and S. Kühne. Softwaretechnik-Trends Band 39, Heft 3, page 52--54. Bonn, Gesellschaft für Informatik e.V., (2019)
2 months ago by @scadsfct
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topic_lifescience
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1Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 435 other author(s). (2022)
2 months ago by @scadsfct
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topic_language
topic_lifescience
topic_languagetopic_lifescience
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2Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties
D. Sala, P. Hildebrand, and J. Meiler. Frontiers in Molecular Biosciences, (February 2023)
19 hours ago by @scadsfct
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2Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties
D. Sala, P. Hildebrand, and J. Meiler. Front. Mol. Biosci., (February 2023)
2 months ago by @scadsfct
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(G-protein-coupled
receptors);
protein
GPCRs
kinases;
topic_lifescience
prediction
function;
AlphaFold;
structure
(G-protein-coupledreceptors);proteinGPCRskinases;topic_lifesciencepredictionfunction;AlphaFold;structure
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1Big Data Services
L. Meyer, J. Frenzel, E. Peukert, R. Jäkel, and S. Kühne. Service Engineering, Springer Fachmedien Wiesbaden, Wiesbaden, (2018)
2 months ago by @scadsfct
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topic_lifescience
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1CCR2 macrophage response determines the functional outcome following cardiomyocyte transplantation
P. Vasudevan, M. Wolfien, H. Lemcke, C. Lang, A. Skorska, R. Gaebel, A. Galow, D. Koczan, T. Lindner, W. Bergmann and 6 other author(s). Genome Med., 15 (1): 61 (August 2023)
2 months ago by @scadsfct
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Macrophages;
learning;
Myocardial
topic_lifescience
infarction;
Immunocompromised;
Cell
therapy;
Machine
Single-cell
Macrophages;learning;Myocardialtopic_lifescienceinfarction;Immunocompromised;Celltherapy;MachineSingle-cell
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1Chasing Streams with Existential Rules
J. Urbani, M. Krötzsch, and T. Eiter. Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, page 415--419. (August 2022)
2 months ago by @scadsfct
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topic_knowledge
topic_lifescience
topic_knowledgetopic_lifescience
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1Chemically inspired Erd\Hos-Rényi oriented hypergraphs
A. Garcia-Chung, M. Bermúdez-Montaña, P. Stadler, J. Jost, and G. Restrepo. (2023)
2 months ago by @scadsfct
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topic_mathfoundation
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importedtopic_mathfoundationtopic_lifescience
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1Classical mathematical models for prediction of response to chemotherapy and immunotherapy
N. Ghaffari Laleh, C. Loeffler, J. Grajek, K. Stanková, A. Pearson, H. Muti, C. Trautwein, H. Enderling, J. Poleszczuk, and J. Kather. PLoS Comput. Biol., 18 (2): e1009822 (February 2022)
2 months ago by @scadsfct
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topic_lifescience
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1Clinical relevance of biomarkers in cholangiocarcinoma: critical revision and future directions
R. Macias, V. Cardinale, T. Kendall, M. Avila, M. Guido, C. Coulouarn, C. Braconi, A. Frampton, J. Bridgewater, D. Overi and 11 other author(s). Gut, (May 2022)
2 months ago by @scadsfct
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topic_lifescience
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1Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology
K. Soans, A. Ramos, J. Sidhaye, A. Krishna, A. Solomatina, K. Hoffmann, R. Schl��ler, J. Guck, I. Sbalzarini, C. Modes and 1 other author(s). Current Biology, 32 (22): 4817--4831.e9 (2022)
a month ago by @scadsfct
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topology,
cup,
zebrafish,
simulation
topology
topic_lifescience
collective
optic
matrix
migration,
cell
topology,cup,zebrafish,simulationtopologytopic_lifesciencecollectiveopticmatrixmigration,cell
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1Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
M. Ertelt, V. Mulligan, J. Maguire, S. Lyskov, R. Moretti, T. Schiffner, J. Meiler, and C. Schoeder. PLOS Computational Biology, 20 (3): e1011939 (March 2024)
19 hours ago by @scadsfct
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importedtopic_lifescience
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1Combining Rosetta Sequence Design with Protein Language Model Predictions Using Evolutionary Scale Modeling (ESM) as Restraint
M. Ertelt, J. Meiler, and C. Schoeder. ACS Synthetic Biology, 13 (4): 1085--1092 (2024)
4 days ago by @scadsfct
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sequence
design
rosetta
protein
topic_lifescience
combining
ESM
sequencedesignrosettaproteintopic_lifesciencecombiningESM
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1Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities
N. Armstrong, K. Mather, M. Sargurupremraj, M. Knol, R. Malik, C. Satizabal, L. Yanek, W. Wen, V. Gudnason, N. Dueker and 76 other author(s). Stroke, 51 (7): 2111--2121 (July 2020)
2 months ago by @scadsfct
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genome-wide
neuroimaging;
white
study;
topic_lifescience
association
brain;
risk
factors;
matter
genome-wideneuroimaging;whitestudy;topic_lifescienceassociationbrain;riskfactors;matter
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1Comparative analysis of machine learning techniques for the prediction of logP
E. Lowe, M. Butkiewicz, M. Spellings, A. Omlor, and J. Meiler. 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), (April 2011)
19 hours ago by @scadsfct
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importedtopic_lifescience
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1Comparison of atom maps
Interdisciplinary Center for Bioinformatics & Leipzig University, Leipzig, Germany, M. Gonzalez Laffitte, N. Beier, N. Domschke, and P. Stadler. Match (Mulh.), 90 (1): 75--102 (2023)
2 months ago by @scadsfct
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topic_mathfoundation
topic_lifescience
topic_mathfoundationtopic_lifescience
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1Comparison of Atom Maps
M. González Laffitte, N. Beier, N. Domschke, and P. Stadler. MATCH: Comm. Math. Comp. Chem., (2023)
2 months ago by @scadsfct
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topic_mathfoundation
topic_lifescience
topic_mathfoundationtopic_lifescience
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2Computational epitope mapping of class I fusion proteins using low complexity supervised learning methods
M. Fischer, J. Crowe, and J. Meiler. PLOS Computational Biology, (December 2022)
2 months ago by @scadsfct
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imported
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importedtopic_lifescience
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2Computational epitope mapping of class I fusion proteins using low complexity supervised learning methods
M. Fischer, J. Crowe, and J. Meiler. PLOS Computational Biology, 18 (12): e1010230 (December 2022)
19 hours ago by @scadsfct
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imported
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importedtopic_lifescience
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1Computational identification of HCV neutralizing antibodies with a common HCDR3 disulfide bond motif in the antibody repertoires of infected individuals
N. Bozhanova, A. Flyak, B. Brown, S. Ruiz, J. Salas, S. Rho, R. Bombardi, L. Myers, C. Soto, J. Bailey and 3 other author(s). Nat. Commun., 13 (1): 3178 (June 2022)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Computational Methods in Drug Discovery
G. Sliwoski, S. Kothiwale, J. Meiler, and E. Lowe. Pharmacological Reviews, 66 (1): 334â395 (December 2013)
19 hours ago by @scadsfct
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imported
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importedtopic_lifescience
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1Computational Power of Particle Methods
J. Pahlke, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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imported
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importedtopic_lifescience
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1Computational redesign of a fluorogen activating protein with Rosetta
N. Bozhanova, J. Harp, B. Bender, A. Gavrikov, D. Gorbachev, M. Baranov, C. Mercado, X. Zhang, K. Lukyanov, A. Mishin and 1 other author(s). PLoS Comput. Biol., 17 (11): e1009555 (November 2021)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Computational structure prediction for antibody-antigen complexes from hydrogen-deuterium exchange mass spectrometry: Challenges and outlook
M. Tran, C. Schoeder, K. Schey, and J. Meiler. Front. Immunol., (May 2022)
2 months ago by @scadsfct
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mass
modeling
epitope-paratope
hydrogen-deuterium
protein-protein
docking;
(HDX-MS);
interaction;
identification;
biology;
integrative
structure
antibody-antigen
structural
topic_lifescience
spectrometry
exchange
massmodelingepitope-paratopehydrogen-deuteriumprotein-proteindocking;(HDX-MS);interaction;identification;biology;integrativestructureantibody-antigenstructuraltopic_lifesciencespectrometryexchange
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1Computer-Aided Design and Biological Evaluation of Diazaspirocyclic D4R Antagonists
C. Jones, B. Brown, D. Schultz, J. Engers, V. Kramlinger, J. Meiler, and C. Lindsley. ACS Chemical Neuroscience, 15 (12): 2396â2407 (June 2024)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data
A. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. arXiv preprint arXiv:2206.14503, (2022)
2 months ago by @scadsfct
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topic_lifescience
topic_visualcomputing
topic_lifesciencetopic_visualcomputing
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1Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data
A. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (June 2022)
9 days ago by @scadsfct
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imported
topic_lifescience
topic_visualcomputing
importedtopic_lifesciencetopic_visualcomputing
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1ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets
K. Schultz, S. Bej, W. Hahn, M. Wolfien, P. Srivastava, and O. Wolkenhauer. Pattern Recognition, (2024)
2 months ago by @scadsfct
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Tabular
Convex
Imbalanced
learning,
GAN,
data
topic_lifescience
LoRAS,
space
data,
TabularConvexImbalancedlearning,GAN,datatopic_lifescienceLoRAS,spacedata,
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1Coupled prediction of protein secondary and tertiary structure
J. Meiler, and D. Baker. Proceedings of the National Academy of Sciences, 100 (21): 12105â12110 (October 2003)
19 hours ago by @scadsfct
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imported
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importedtopic_lifescience
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1Decomposing compounds enables reconstruction of interaction fingerprints for structure-based drug screening
M. Adasme, S. Bolz, A. Al-Fatlawi, and M. Schroeder. Journal of Cheminformatics, (March 2022)
4 days ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann. Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
F. Wessels, M. Schmitt, E. Krieghoff-Henning, J. Kather, M. Nientiedt, M. Kriegmair, T. Worst, M. Neuberger, M. Steeg, Z. Popovic and 7 other author(s). PLoS One, 17 (8): e0272656 (August 2022)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions
V. Golkov, A. Becker, D. Plop, D. Čuturilo, N. Davoudi, J. Mendenhall, R. Moretti, J. Meiler, and D. Cremers. (2020)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer
S. Brockmoeller, A. Echle, N. Ghaffari Laleh, S. Eiholm, M. Malmstrøm, T. Plato Kuhlmann, K. Levic, H. Grabsch, N. West, O. Saldanha and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)
2 months ago by @scadsfct
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metastasis;
inflamed
intelligence;
deep
learning;
bowel
predictive
LNM
adipose
pT2
pT1
digital
biomarker;
cancer;
artificial
AI;
pathology;
colorectal
and
topic_lifescience
prediction
new
tissue;
early
metastasis;inflamedintelligence;deeplearning;bowelpredictiveLNMadiposepT2pT1digitalbiomarker;cancer;artificialAI;pathology;colorectalandtopic_lifesciencepredictionnewtissue;early
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1Deep learning improves pancreatic cancer diagnosis using RNA-based variants
A. Al-Fatlawi, N. Malekian, S. Garc\'ıa, A. Henschel, I. Kim, A. Dahl, B. Jahnke, P. Bailey, S. Bolz, A. Poetsch and 4 other author(s). Cancers (Basel), 13 (11): 2654 (May 2021)
2 months ago by @scadsfct
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cancer;
pancreatitis;
study
transcriptome-wide
deep
learning;
topic_lifescience
association
pancreatic
chronic
cancer;pancreatitis;studytranscriptome-widedeeplearning;topic_lifescienceassociationpancreaticchronic
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1Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
J. Kers, R. Bülow, B. Klinkhammer, G. Breimer, F. Fontana, A. Abiola, R. Hofstraat, G. Corthals, H. Peters-Sengers, S. Djudjaj and 13 other author(s). Lancet Digit. Health, 4 (1): e18--e26 (January 2022)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Describing chain-like assembly of ethoxygroup-functionalized organic molecules on Au(111) using high-throughput simulations
Lokamani, J. Kelling, R. Ohmann, J. Meyer, T. Kühne, G. Cuniberti, J. Wolf, G. Juckeland, T. Huhn, P. Zahn and 2 other author(s). Sci. Rep., 11 (1): 14649 (July 2021)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Description Logics that Count, and What They Can and Cannot Count (Extended Abstract)
F. Baader, and F. De Bortoli. Proceedings of the 33rd International Workshop on Description Logics (DL'20), volume 2663 of CEUR Workshop Proceedings, Online, CEUR-WS, (2020)
2 months ago by @scadsfct
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topic_lifescience
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1Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists
T. Brinker, M. Schmitt, E. Krieghoff-Henning, R. Barnhill, H. Beltraminelli, S. Braun, R. Carr, M. Fernandez-Figueras, G. Ferrara, S. Fraitag and 18 other author(s). J. Am. Acad. Dermatol., 86 (3): 640--642 (March 2022)
2 months ago by @scadsfct
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topic_lifescience
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1Diatom adhesive trail proteins acquired by horizontal gene transfer from bacteria serve as primers for marine biofilm formation
J. Zackova Suchanova, G. Bilcke, B. Romanowska, A. Fatlawi, M. Pippel, A. Skeffington, M. Schroeder, W. Vyverman, K. Vandepoele, N. Kröger and 1 other author(s). New Phytol., 240 (2): 770--783 (October 2023)
2 months ago by @scadsfct
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gliding
biofilm;
gene
horizontal
topic_lifescience
motility;
bioadhesion;
unit_transfer
diatom;
glidingbiofilm;genehorizontaltopic_lifesciencemotility;bioadhesion;unit_transferdiatom;
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1Digitale Transformationen von Öffentlichkeit. Ausgangspunkte und Horizonte einer transdisziplinären Perspektivbildung
J. Kruse, and S. Müller-Mall. Digitale Transformationen der Öffentlichkeit, Velbrück Wissenschaft, (2020)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Discovery of 2â(2âBenzoxazoyl amino)â4âArylâ5âCyanopyrimidine as Negative Allosteric Modulators (NAMs) of Metabotropic Glutamate Receptorâ5 (mGlu5): From an Artificial Neural Network Virtual Screen to an In Vivo Tool Compound
R. Mueller, E. Dawson, J. Meiler, A. Rodriguez, B. Chauder, B. Bates, A. Felts, J. Lamb, U. Menon, S. Jadhav and 9 other author(s). ChemMedChem, 7 (3): 406â414 (January 2012)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Distance multivariance: New dependence measures for random vectors
B. Böttcher, M. Keller-Ressel, and R. Schilling. Ann. Stat., 47 (5): 2757--2789 (October 2019)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
L. Chamness, C. Kuntz, A. McKee, W. Penn, C. Hemmerich, D. Rusch, H. Woods, Dyotima, J. Meiler, and J. Schlebach. (December 2023)
19 hours ago by @scadsfct
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imported
topic_lifescience
importedtopic_lifescience
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1Docking cholesterol to integral membrane proteins with Rosetta
B. Marlow, G. Kuenze, J. Meiler, and J. Koehler Leman. PLoS Comput. Biol., 19 (3): e1010947 (March 2023)
2 months ago by @scadsfct
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topic_lifescience
topic_lifescience
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1Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates
A. Gupta, U. Günther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and I. Sbalzarini. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 19, page 61�70. IEEE, (April 2023)
a month ago by @scadsfct
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imported
topic_lifescience
topic_visualcomputing
importedtopic_lifesciencetopic_visualcomputing
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