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Knowledge of Native Protein-Protein Interfaces Is Sufficient To Construct Predictive Models for the Selection of Binding Candidates., and . J. Chem. Inf. Model., 55 (10): 2242-2255 (2015)Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution., , , , , and . PLoS Comput. Biol., (2020)Deep convolutional networks for quality assessment of protein folds., , , and . Bioinform., 34 (23): 4046-4053 (2018)Rapid determination of RMSDs corresponding to macromolecular rigid body motions., and . J. Comput. Chem., 35 (12): 950-956 (2014)KORP-PL: a coarse-grained knowledge-based scoring function for protein-ligand interactions., , , and . Bioinform., 37 (7): 943-950 (2021)Smooth orientation-dependent scoring function for coarse-grained protein quality assessment., , and . Bioinform., 35 (16): 2801-2808 (2019)Knodle: A Support Vector Machines-Based Automatic Perception of Organic Molecules from 3D Coordinates., and . J. Chem. Inf. Model., 56 (8): 1410-1419 (2016)VoroCNN: deep convolutional neural network built on 3D Voronoi tessellation of protein structures., , , , and . Bioinform., 37 (16): 2332-2339 (2021)6DCNN with roto-translational convolution filters for volumetric data processing., , and . CoRR, (2021)ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D., and . CoRR, (2024)