Literature DB >> 22721491

xPyder: a PyMOL plugin to analyze coupled residues and their networks in protein structures.

Marco Pasi1, Matteo Tiberti, Alberto Arrigoni, Elena Papaleo.   

Abstract

A versatile method to directly identify and analyze short- or long-range coupled or communicating residues in a protein conformational ensemble is of extreme relevance to achieve a complete understanding of protein dynamics and structural communication routes. Here, we present xPyder, an interface between one of the most employed molecular graphics systems, PyMOL, and the analysis of dynamical cross-correlation matrices (DCCM). The approach can also be extended, in principle, to matrices including other indexes of communication propensity or intensity between protein residues, as well as the persistence of intra- or intermolecular interactions, such as those underlying protein dynamics. The xPyder plugin for PyMOL 1.4 and 1.5 is offered as Open Source software via the GPL v2 license, and it can be found, along with the installation package, the user guide, and examples, at http://linux.btbs.unimib.it/xpyder/.

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Year:  2012        PMID: 22721491     DOI: 10.1021/ci300213c

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


  31 in total

1.  An automated approach to network features of protein structure ensembles.

Authors:  Moitrayee Bhattacharyya; Chanda R Bhat; Saraswathi Vishveshwara
Journal:  Protein Sci       Date:  2013-10       Impact factor: 6.725

2.  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

3.  Molecular dynamics study of HIV-1 RT-DNA-nevirapine complexes explains NNRTI inhibition and resistance by connection mutations.

Authors:  R S K Vijayan; Eddy Arnold; Kalyan Das
Journal:  Proteins       Date:  2013-11-22

4.  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

Review 5.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

6.  NAPS: Network Analysis of Protein Structures.

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

7.  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

8.  Automating data analysis for two-dimensional gas chromatography/time-of-flight mass spectrometry non-targeted analysis of comparative samples.

Authors:  Ivan A Titaley; O Maduka Ogba; Leah Chibwe; Eunha Hoh; Paul H-Y Cheong; Staci L Massey Simonich
Journal:  J Chromatogr A       Date:  2018-02-07       Impact factor: 4.759

9.  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

10.  Analysis of the structure and dynamics of human serum albumin.

Authors:  T R Cuya Guizado
Journal:  J Mol Model       Date:  2014-09-21       Impact factor: 1.810

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