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Predicting the functional impact of KCNQ1 variants with artificial neural networks

S. Phul, G. Kuenze, C. Vanoye, C. Sanders, A. George, Jr, and J. Meiler. PLoS Comput. Biol., 18 (4): e1010038 (April 2022)

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Methodology for rigorous modeling of protein conformational changes by Rosetta using DEER distance restraintsD. Del Alamo, K. Jagessar, J. Meiler, and H. Mchaourab. PLoS Comput. Biol., 17 (6): e1009107 (June 2021)The human antibody sequence space and structural design of the V, J regions, and CDRH3 with RosettaS. Schmitz, E. Schmitz, J. Crowe, Jr, and J. Meiler. MAbs, 14 (1): 2068212 (January 2022)Towards generalizable predictions for G protein-coupled receptor variant expressionC. Kuntz, H. Woods, A. McKee, N. Zelt, J. Mendenhall, J. Meiler, and J. Schlebach. Biophysical Journal, 121 (14): 2712--2720 (2022)Principles of Alternating Access in LeuT-fold Transporters: Commonalities and DivergencesD. Alamo, J. Meiler, and H. Mchaourab. (May 2022)MutationExplorer: a webserver for mutation of proteins and 3D visualization of energetic impactsM. Philipp, C. Moth, N. Ristic, J. Tiemann, F. Seufert, A. Panfilova, J. Meiler, P. Hildebrand, A. Stein, D. Wiegreffe and 1 other author(s). Nucleic Acids Research, (2024)Predicting the functional impact of KCNQ1 variants with artificial neural networksS. Phul, G. Kuenze, C. Vanoye, C. Sanders, A. George, Jr, and J. Meiler. PLoS Comput. Biol., 18 (4): e1010038 (April 2022)Small integral membrane protein 10 like 1 enhances differentiation of adipose progenitor cellsM. Nebe, S. Kehr, S. Schmitz, J. Breitfeld, J. Lorenz, D. Le Duc, P. Stadler, J. Meiler, W. Kiess, A. Garten and 1 other author(s). Biochemical and Biophysical Research Communications, (March 2022)Discovery 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 CompoundR. 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)Approximating conformational Boltzmann distributions with AlphaFold2 predictionsB. Brown, R. Stein, J. Meiler, and H. Mchaourab. (August 2023)Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein VariantsL. Chamness, C. Kuntz, A. McKee, W. Penn, C. Hemmerich, D. Rusch, H. Woods, Dyotima, J. Meiler, and J. Schlebach. (December 2023)

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Predicting the functional impact of KCNQ1 variants with artificial neural networks

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting the functional impact of KCNQ1 variants with artificial neural networks

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Predicting the functional impact of KCNQ1 variants with artificial neural networks