Literature DB >> 24702124

PyInteraph: a framework for the analysis of interaction networks in structural ensembles of proteins.

Matteo Tiberti1, Gaetano Invernizzi, Matteo Lambrughi, Yuval Inbar, Gideon Schreiber, Elena Papaleo.   

Abstract

In the last years, a growing interest has been gathering around the ability of Molecular Dynamics (MD) to provide insight into the paths of long-range structural communication in biomolecules. The knowledge of the mechanisms related to structural communication helps in the rationalization in atomistic details of the effects induced by mutations, ligand binding, and the intrinsic dynamics of proteins. We here present PyInteraph, a tool for the analysis of structural ensembles inspired by graph theory. PyInteraph is a software suite designed to analyze MD and structural ensembles with attention to binary interactions between residues, such as hydrogen bonds, salt bridges, and hydrophobic interactions. PyInteraph also allows the different classes of intra- and intermolecular interactions to be represented, combined or alone, in the form of interaction graphs, along with performing network analysis on the resulting interaction graphs. The program also integrates the network description with a knowledge-based force field to estimate the interaction energies between side chains in the protein. It can be used alone or together with the recently developed xPyder PyMOL plugin through an xPyder-compatible format. The software capabilities and associated protocols are here illustrated by biologically relevant cases of study. The program is available free of charge as Open Source software via the GPL v3 license at http://linux.btbs.unimib.it/pyinteraph/.

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Year:  2014        PMID: 24702124     DOI: 10.1021/ci400639r

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  39 in total

1.  NAPS update: network analysis of molecular dynamics data and protein-nucleic acid complexes.

Authors:  Broto Chakrabarty; Varun Naganathan; Kanak Garg; Yash Agarwal; Nita Parekh
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  The PyInteraph Workflow for the Study of Interaction Networks From Protein Structural Ensembles.

Authors:  Matteo Lambrughi; Valentina Sora; Matteo Tiberti
Journal:  Methods Mol Biol       Date:  2021

3.  Effects of point mutations on the thermostability of B. subtilis lipase: investigating nonadditivity.

Authors:  Bipin Singh; Gopalakrishnan Bulusu; Abhijit Mitra
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

4.  NAPS: Network Analysis of Protein Structures.

Authors:  Broto Chakrabarty; Nita Parekh
Journal:  Nucleic Acids Res       Date:  2016-05-05       Impact factor: 16.971

5.  gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations.

Authors:  Onur Serçinoglu; Pemra Ozbek
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

6.  Investigating Conformational Dynamics and Allostery in the p53 DNA-Binding Domain Using Molecular Simulations.

Authors:  Elena Papaleo
Journal:  Methods Mol Biol       Date:  2021

7.  Computational approaches to detect allosteric pathways in transmembrane molecular machines.

Authors:  Sebastian Stolzenberg; Mayako Michino; Michael V LeVine; Harel Weinstein; Lei Shi
Journal:  Biochim Biophys Acta       Date:  2016-01-22

8.  Dynamic residue interaction network analysis of the oseltamivir binding site of N1 neuraminidase and its H274Y mutation site conferring drug resistance in influenza A virus.

Authors:  Mohini Yadav; Manabu Igarashi; Norifumi Yamamoto
Journal:  PeerJ       Date:  2021-06-02       Impact factor: 2.984

9.  The Bio3D packages for structural bioinformatics.

Authors:  Barry J Grant; Lars Skjaerven; Xin-Qiu Yao
Journal:  Protein Sci       Date:  2020-08-17       Impact factor: 6.725

10.  Characterization of a natural variant of human NDP52 and its functional consequences on mitophagy.

Authors:  Anthea Di Rita; Daniela F Angelini; Teresa Maiorino; Valerio Caputo; Raffaella Cascella; Mukesh Kumar; Matteo Tiberti; Matteo Lambrughi; Nicole Wesch; Frank Löhr; Volker Dötsch; Marianna Carinci; Pasquale D'Acunzo; Valerio Chiurchiù; Elena Papaleo; Vladimir V Rogov; Emiliano Giardina; Luca Battistini; Flavie Strappazzon
Journal:  Cell Death Differ       Date:  2021-03-15       Impact factor: 12.067

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