Journal ArticleDOI
ppdx: Automated modeling of protein–protein interaction descriptors for use with machine learning
TLDR
Abstract:
This paper describes ppdx, a python workflow tool that combines protein sequence alignment, homology modeling, and structural refinement, to compute a broad array of descriptors for characterizing protein–protein interactions. The descriptors can be used to predict various properties of interest, such as protein–protein binding affinities, or inhibitory concentrations (IC50), using approaches that range from simple regression to more complex machine learning models. The software is highly modular. It supports different protocols for generating structures, and 95 descriptors can be currently computed. More protocols and descriptors can be easily added. The implementation is highly parallel and can fully exploit the available cores in a single workstation, or multiple nodes on a supercomputer, allowing many systems to be analyzed simultaneously. As an illustrative application, ppdx is used to parametrize a model that predicts the IC50 of a set of antigens and a class of antibodies directed to the influenza hemagglutinin stalk.read more
Citations
More filters
Journal ArticleDOI
On the Rapid Calculation of Binding Affinities for Antigen and Antibody Design and Affinity Maturation Simulations
TL;DR: This study compares three classes of methods for antibody/antigen (Ab/Ag) binding affinity calculations and suggests using about ten modeled structures for scoring methods, and about five simulation replicates for MD simulations as a rule of thumb for obtaining reasonable convergence.
References
More filters
Journal ArticleDOI
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features
Wolfgang Kabsch,Chris Sander +1 more
TL;DR: A set of simple and physically motivated criteria for secondary structure, programmed as a pattern‐recognition process of hydrogen‐bonded and geometrical features extracted from x‐ray coordinates is developed.
Journal ArticleDOI
CHARMM: the biomolecular simulation program.
Bernard R. Brooks,Charles L. Brooks,Alexander D. MacKerell,Lennart Nilsson,Robert J. Petrella,Benoît Roux,Youngdo Won,Georgios Archontis,Christian Bartels,Stefan Boresch,Amedeo Caflisch,Leo S. D. Caves,Qiang Cui,Aaron R. Dinner,Michael Feig,Stefan Fischer,Jiali Gao,Milan Hodošček,Wonpil Im,K. Kuczera,Themis Lazaridis,Jianpeng Ma,V. Ovchinnikov,Emanuele Paci,Richard W. Pastor,Carol Beth Post,Jingzhi Pu,M. Schaefer,Bruce Tidor,Richard M. Venable,H. L. Woodcock,Xiongwu Wu,Wei Yang,Darrin M. York,Martin Karplus,Martin Karplus +35 more
TL;DR: An overview of the CHARMM program as it exists today is provided with an emphasis on developments since the publication of the original CHARMM article in 1983.
Journal ArticleDOI
The I-TASSER Suite: protein structure and function prediction
TL;DR: A stand-alone I-TASSER Suite that can be used for off-line protein structure and function prediction and three complementary algorithms to enhance function inferences are developed, the consensus of which is derived by COACH4 using support vector machines.
Journal ArticleDOI
Biopython: freely available Python tools for computational molecular biology and bioinformatics
Peter J. A. Cock,Tiago Antao,Jeffrey T. Chang,Brad Chapman,Cymon J. Cox,Andrew Dalke,Iddo Friedberg,Thomas Hamelryck,Frank Kauff,Bartosz Wilczyński,Michiel J. L. de Hoon +10 more
TL;DR: Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.
Journal ArticleDOI
Semianalytical treatment of solvation for molecular mechanics and dynamics
TL;DR: In this paper, it was shown that the active carbon incorporation catalyst is carbided iron and this conclusion was well supported by bulk carbon to iron stoichiometries of 0.1-0.25 estimated from the TPHT peak areas which were adequate to represent 40-60'36 conversion to bulk carbides such as Fe,C or FeSC2.