Boosting the Full Potential of PyMOL with Structural Biology Plugins
Serena Rosignoli, Alessandro Paiardini
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.
Topics & Concepts
Plug-inComputer scienceVisualizationStructural bioinformaticsSoftwareGraphicsComputer graphicsWorld Wide WebData scienceComputer graphics (images)Data miningProgramming languageBiologyProtein structureBiochemistryProtein Structure and DynamicsGenetics, Bioinformatics, and Biomedical ResearchRNA and protein synthesis mechanisms