PDBImages: a command-line tool for automated macromolecular structure visualization

被引：0

作者：

Midlik, Adam ^{[1
]}

Nair, Sreenath ^{[1
]}

Anyango, Stephen ^{[1
]}

Deshpande, Mandar ^{[1
]}

Sehnal, David ^{[2
,3
]}

Varadi, Mihaly ^{[1
]}

Velankar, Sameer ^{[1
]}

机构：

[1] European Bioinformat Inst EMBL EBI, European Mol Biol Lab, Prot Data Bank Europe, Wellcome Genome Campus, Hinxton CB10 1SA, Cambs, England

[2] Masaryk Univ, CEITEC Cent European Inst Technol, Ctr Struct Biol, Biol Data Management & Anal Core Facil, Brno 62500, Czech Republic

[3] Masaryk Univ, Fac Sci, Natl Ctr Biomol Res, Brno 62500, Czech Republic

来源：

BIOINFORMATICS | 2023年 / 39卷 / 12期

基金：

英国生物技术与生命科学研究理事会; 英国惠康基金;

关键词：

COVERAGE;

D O I：

10.1093/bioinformatics/btad744

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：4

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