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11 27, 2022;12 (12):

Boosting the Full Potential of PyMOL with Structural Biology Plugins.

Serena Rosignoli, Alessandro Paiardini
Author Information
  1. Serena Rosignoli: Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy. ORCID
  2. Alessandro Paiardini: Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy. ORCID
PMID: 36551192 DOI: 10.3390/biom12121764

Abstract

Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses.

Keywords

PyMOL bioinformatics molecular docking molecular dynamics molecular viewer plugin protein structure prediction sequence analysis structural biology structure-function analysis virtual screening

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Grants

  1. MFAG 20447/Italian Association for Cancer Research

MeSH Term

Software
Algorithms
Computational Biology
Journal Article Review Research Support, Non-U.S. Gov't
Article has an altmetric score of 4

Word Cloud

Created with Highcharts 10.0.0PyMOLmolecularstructuralbioinformaticsanalysispluginssoftwarepastdecadesnumberavailablepipelineslibrarieswebresourcesincreasedexponentiallybecomeaccessiblebroadrealmlifescientistsexpansionshapedfieldtanglednetworkmethodsalgorithmsuserinterfacesrecentyearswidelyusedbiomoleculesvisualizationstartedplaykeyroleprovidingopenplatformsuccessfulimplementationexpertknowledgeeasy-to-usegraphicstoolreviewoutlinesfeaturesmakeeligibleenvironmentsupportinganalysesBoostingFullPotentialStructuralBiologyPluginsdockingdynamicsviewerpluginproteinstructurepredictionsequencebiologystructure-functionvirtualscreening

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