Publications

Eli Fritz McDonald, Kathryn E. Oliver, Jonathan P. Schlebach, Jens Meiler, und Lars Plate. Benchmarking AlphaMissense Pathogenicity Predictions Against Cystic Fibrosis Variants. Cold Spring Harbor Laboratory, Oktober 2023. [PUMA: imported topic_lifescience] URL

Moritz Ertelt, Vikram Khipple Mulligan, Jack B. Maguire, Sergey Lyskov, Rocco Moretti, Torben Schiffner, Jens Meiler, und Clara T. Schoeder. Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. In Joanna Slusky (Hrsg.), PLOS Computational Biology, (20)3:e1011939, Public Library of Science (PLoS), März 2024. [PUMA: imported topic_lifescience] URL

Yunchao (Lance) Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, und Tyler Derr. Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. Proceedings of the AAAI Conference on Artificial Intelligence, (37)12:14356–14364, Association for the Advancement of Artificial Intelligence (AAAI), Juni 2023. [PUMA: imported topic_lifescience] URL

D. Sala, F. Engelberger, H.S. Mchaourab, und J. Meiler. Modeling conformational states of proteins with AlphaFold. Current Opinion in Structural Biology, (81):102645, Elsevier BV, August 2023. [PUMA: imported topic_lifescience] URL

Moritz Ertelt, Rocco Moretti, Jens Meiler, und Clara T. Schoeder. Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants. Cold Spring Harbor Laboratory, Juni 2024. [PUMA: imported topic_lifescience] URL