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PDBImages: A Command Line Tool for Automated Macromolecular Structure Visualization

Authors :
Midlik, Adam
Nair, Sreenath
Anyango, Stephen
Deshpande, Mandar
Sehnal, David
Varadi, Mihaly
Velankar, Sameer
Source :
Bioinformatics, Volume 39, Issue 12, December 2023, btad744
Publication Year :
2023

Abstract

Summary: PDBImages is an innovative, open-source Node.js package that harnesses the power of the popular macromolecule structure visualization software Mol*. Designed for use by the scientific community, PDBImages provides a means to generate high-quality images for PDB and AlphaFold DB models. Its unique ability to render and save images directly to files in a browserless mode sets it apart, offering users a streamlined, automated process for macromolecular structure visualization. Here, we detail the implementation of PDBImages, enumerating its diverse image types and elaborating on its user-friendly setup. This powerful tool opens a new gateway for researchers to visualize, analyse, and share their work, fostering a deeper understanding of bioinformatics. Availability and Implementation: PDBImages is available as an npm package from https://www.npmjs.com/package/pdb-images. The source code is available from https://github.com/PDBeurope/pdb-images. Contact: mvaradi@ebi.ac.uk, sameer@ebi.ac.uk<br />Comment: 7 pages, 1 figure, to be submitted to Bioinformatics

Details

Database :
arXiv
Journal :
Bioinformatics, Volume 39, Issue 12, December 2023, btad744
Publication Type :
Report
Accession number :
edsarx.2308.00563
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/bioinformatics/btad744