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Computational and Structural Biotechnology Journal|April 2, 2014
Reconstruction of SAXS Profiles from Protein StructuresDaniel K Putnam, Edward W Lowe, Jens MeilerJournal of Chemical Information and Modeling|January 13, 2025
Interpretable Deep-Learning p<i>K</i><sub>a</sub> Prediction for Small Molecule Drugs via Atomic Sensitivity AnalysisJoseph DeCorte, Benjamin Brown, Rathmell Jeffrey, et al.Journal of Structural Biology|May 14, 2011
BCL::EM-Fit: rigid body fitting of atomic structures into density maps using geometric hashing and real space refinementNils Woetzel, Steffen Lindert, Phoebe L Stewart, et al.Journal of Proteome Research|July 8, 2021
A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of ProteinsBian Li, Jeffrey Mendenhall, John A Capra, et al.Structure (London, England : 1993)|September 17, 2019
Integrative Protein Modeling in RosettaNMR from Sparse Paramagnetic RestraintsGeorg Kuenze, Richard Bonneau, Julia Koehler Leman, et al.Molecules (Basel, Switzerland)|August 22, 2012
BCL::EMAS--enantioselective molecular asymmetry descriptor for 3D-QSARGregory Sliwoski, Edward W Lowe, Mariusz Butkiewicz, et al.Plos Computational Biology|March 27, 2023
Docking cholesterol to integral membrane proteins with RosettaBrennica Marlow, Georg Kuenze, Jens Meiler, et al.Science Advances|February 12, 2025
Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variantsMoritz Ertelt, Rocco Moretti, Jens Meiler, et al.Biochemistry|August 20, 2013
Characterization and modeling of the oligomeric state and ligand binding behavior of purified translocator protein 18 kDa from Rhodobacter sphaeroidesFei Li, Yan Xia, Jens Meiler, et al.Methods in Molecular Biology (Clifton, N.J.)|April 21, 2016
Rosetta and the Design of Ligand Binding SitesRocco Moretti, Brian J Bender, Brittany Allison, et al.Pageof 44