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publications (hide)1872
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1Machine learning algorithms predict canine structural epilepsy with high accuracy
T. Flegel, A. Neumann, A. Holst, O. Kretzschmann, S. Loderstedt, C. Tästensen, S. Gutmann, J. Dietzel, L. Becker, T. Kalliwoda and 4 other author(s). Frontiers in Veterinary Science, (2024)
3 months ago by @scadsfct
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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)
3 months ago by @scadsfct
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imported
topic_lifescienceimported
(0)
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1Improving the modeling of extracellular ligand binding pockets in RosettaGPCR for conformational selection
F. Liessmann, G. Künze, and J. Meiler. Int. J. Mol. Sci., (April 2023)
3 months ago by @scadsfct
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topic_lifescience
Rosetta;
RosettaGPCR;
discovery;
docking;
drug
homology
ligand
modeling;
pocket
refinement
topic_lifescienceRosetta;RosettaGPCR;discovery;docking;drughomologyligandmodeling;pocketrefinement
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1Targeting in silico GPCR conformations with ultra-large library screening for hit discovery
D. Sala, H. Batebi, K. Ledwitch, P. Hildebrand, and J. Meiler. Trends Pharmacol. Sci., 44 (3): 150--161 (March 2023)
3 months ago by @scadsfct
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topic_lifescience
AlphaFold;
GPCR;
biased
discovery;
drug
library
ligands;
structure-based
ultra-large
topic_lifescienceAlphaFold;GPCR;biaseddiscovery;druglibraryligands;structure-basedultra-large
(0)
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1Rosetta's predictive ability for low-affinity ligand binding in fragment-based drug discovery
E. Okwei, S. Smith, B. Bender, B. Allison, S. Ganguly, A. Geanes, X. Zhang, K. Ledwitch, and J. Meiler. Biochemistry, 62 (3): 700--709 (February 2023)
3 months ago by @scadsfct
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1Sparse pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction
K. Ledwitch, G. Künze, J. McKinney, E. Okwei, K. Larochelle, L. Pankewitz, S. Ganguly, H. Darling, I. Coin, and J. Meiler. J. Biomol. NMR, 77 (3): 69--82 (June 2023)
3 months ago by @scadsfct
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topic_lifescience
(IMPs);
(PCSs);
(ncAAs);
Click
Integral
Non-canonical
Pseudocontact
Rosetta;
Structure
acids
amino
chemistry;
membrane
prediction
proteins
shifts
topic_lifescience(IMPs);(PCSs);(ncAAs);ClickIntegralNon-canonicalPseudocontactRosetta;Structureacidsaminochemistry;membranepredictionproteinsshifts
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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)
3 months ago by @scadsfct
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1White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland : August 2023
T. Intemann, K. Kaulke, D. Kipker, V. Lettieri, C. Stallmann, C. Schmidt, L. O. Geidel, M. Bialke, C. Hampf, D. Stahl and 19 other author(s). (2023)
3 months ago by @scadsfct
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topic_lifescience
area_bigdata
topic_lifesciencearea_bigdata
(0)
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1Federated learning on transcriptomic data: Model quality and performance trade-offs
A. Hannemann, J. Ewald, L. Seeger, and E. Buchmann. (2024)
3 months ago by @scadsfct
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area_responsibleai
topic_lifesciencearea_responsibleai
(0)
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2The Open Web Index: Crawling and Indexing the Web for Public Use
G. Hendriksen, M. Dinzinger, S. Farzana, N. Fathima, M. Fröbe, S. Schmidt, S. Zerhoudi, M. Granitzer, M. Hagen, D. Hiemstra and 2 other author(s). Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), Berlin Heidelberg New York, Springer, (March 2024)
3 months ago by @scadsfct
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(0)
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1Overview of touché 2023: Argument and causal retrieval
A. Bondarenko, M. Fröbe, J. Kiesel, F. Schlatt, V. Barriere, B. Ravenet, L. Hemamou, S. Luck, J. Reimer, B. Stein and 2 other author(s). Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, (2023)
3 months ago by @scadsfct
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(0)
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2Systematic evaluation of neural retrieval models on the touché 2020 argument retrieval subset of BEIR
N. Thakur, L. Bonifacio, M. Fröbe, A. Bondarenko, E. Kamalloo, M. Potthast, M. Hagen, and J. Lin. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 618, page 1420--1430. New York, NY, USA, ACM, (July 2024)
3 months ago by @scadsfct
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(0)
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1Shared tasks as tutorials: A methodical approach
T. Elstner, F. Loebe, Y. Ajjour, C. Akiki, A. Bondarenko, M. Fröbe, L. Gienapp, N. Kolyada, J. Mohr, S. Sandfuchs and 7 other author(s). Proc. Conf. AAAI Artif. Intell., 37 (13): 15807--15815 (June 2023)
3 months ago by @scadsfct
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1The information retrieval experiment platform
M. Fröbe, J. Reimer, S. MacAvaney, N. Deckers, S. Reich, J. Bevendorff, B. Stein, M. Hagen, and M. Potthast. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, NY, USA, ACM, (July 2023)
3 months ago by @scadsfct
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1SemEval-2023 Task 5: Clickbait Spoiling
M. Fröbe, B. Stein, T. Gollub, M. Hagen, and M. Potthast. Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), Stroudsburg, PA, USA, Association for Computational Linguistics, (2023)
3 months ago by @scadsfct
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2ReNeuIR at SIGIR 2024: The third workshop on reaching efficiency in neural information retrieval
M. Fröbe, J. Mackenzie, B. Mitra, F. Nardini, and M. Potthast. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 31, page 3051--3054. New York, NY, USA, ACM, (July 2024)
3 months ago by @scadsfct
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1Continuous integration for reproducible shared tasks with TIRA.Io
M. Fröbe, M. Wiegmann, N. Kolyada, B. Grahm, T. Elstner, F. Loebe, M. Hagen, B. Stein, and M. Potthast. Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, (2023)
3 months ago by @scadsfct
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1Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models
A. Parry, M. Fröbe, S. MacAvaney, M. Potthast, and M. Hagen. (2024)
3 months ago by @scadsfct
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2Classification of shared tasks used in teaching
T. Elstner, B. Hanle, F. Loebe, M. Fröbe, N. Kolyada, J. Mohr, J. Frochte, S. Hofmann, B. Stein, and M. Potthast. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, New York, NY, USA, ACM, (July 2024)
3 months ago by @scadsfct
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1The infinite index: Information retrieval on generative text-to-image models
N. Deckers, M. Fröbe, J. Kiesel, G. Pandolfo, C. Schröder, B. Stein, and M. Potthast. (2022)
3 months ago by @scadsfct
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PUMA

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publications (hide)1872
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1Machine learning algorithms predict canine structural epilepsy with high accuracy

1Benchmarking AlphaFold2 on peptide structure prediction

1Improving the modeling of extracellular ligand binding pockets in RosettaGPCR for conformational selection

1Targeting in silico GPCR conformations with ultra-large library screening for hit discovery

1Rosetta's predictive ability for low-affinity ligand binding in fragment-based drug discovery

1Sparse pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction

1Docking cholesterol to integral membrane proteins with Rosetta

1White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland : August 2023

1Federated learning on transcriptomic data: Model quality and performance trade-offs

2The Open Web Index: Crawling and Indexing the Web for Public Use

1Overview of touché 2023: Argument and causal retrieval

2Systematic evaluation of neural retrieval models on the touché 2020 argument retrieval subset of BEIR

1Shared tasks as tutorials: A methodical approach

1The information retrieval experiment platform

1SemEval-2023 Task 5: Clickbait Spoiling

2ReNeuIR at SIGIR 2024: The third workshop on reaching efficiency in neural information retrieval

1Continuous integration for reproducible shared tasks with TIRA.Io

1Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models

2Classification of shared tasks used in teaching

1The infinite index: Information retrieval on generative text-to-image models

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