Your browser doesn't support javascript.
loading
Rapid generation of high-quality structure figures for publication with PyMOL-PUB.
Chen, Yuting; Zhang, Haoling; Wang, Wen; Shen, Yue; Ping, Zhi.
Afiliación
  • Chen Y; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Zhang H; BGI Research, Shenzhen 518083, China.
  • Wang W; BGI Research, Shenzhen 518083, China.
  • Shen Y; BGI Research, Shenzhen 518083, China.
  • Ping Z; BGI Research, Changzhou 213299, China.
Bioinformatics ; 40(3)2024 03 04.
Article en En | MEDLINE | ID: mdl-38449297
ABSTRACT
MOTIVATION The advancement of structural biology has increased the requirements for researchers to quickly and efficiently visualize molecular structures in silico. Meanwhile, it is also time-consuming for structural biologists to create publication-standard figures, as no useful tools can directly generate figures from structure data. Although manual editing can ensure that figures meet the standards required for publication, it requires a deep understanding of software operations and/or program call commands. Therefore, providing interfaces based on established software instead of manual editing becomes a significant necessity.

RESULTS:

We developed PyMOL-PUB, based on the original design of PyMOL, to effectively create publication-quality figures from molecular structure data. It provides functions including structural alignment methods, functional coloring schemes, conformation adjustments, and layout plotting strategies. These functions allow users to easily generate high-quality figures, demonstrate structural differences, illustrate inter-molecular interactions, and predict performances of biomacromolecules. AVAILABILITY AND IMPLEMENTATION Our tool is publicly available at https//github.com/BGI-SynBio/PyMOL-PUB.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido