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Describing and Sharing Molecular Visualizations Using the MolViewSpec Toolkit.
Bittrich, Sebastian; Midlik, Adam; Varadi, Mihaly; Velankar, Sameer; Burley, Stephen K; Young, Jasmine Y; Sehnal, David; Vallat, Brinda.
Afiliação
  • Bittrich S; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, California.
  • Midlik A; Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.
  • Varadi M; Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.
  • Velankar S; Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.
  • Burley SK; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, California.
  • Young JY; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey.
  • Sehnal D; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, New Jersey.
  • Vallat B; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey.
Curr Protoc ; 4(7): e1099, 2024 Jul.
Article em En | MEDLINE | ID: mdl-39024028
ABSTRACT
With the ever-expanding toolkit of molecular viewers, the ability to visualize macromolecular structures has never been more accessible. Yet, the idiosyncratic technical intricacies across tools and the integration complexities associated with handling structure annotation data present significant barriers to seamless interoperability and steep learning curves for many users. The necessity for reproducible data visualizations is at the forefront of the current challenges. Recently, we introduced MolViewSpec (homepage https//molstar.org/mol-view-spec/, GitHub project https//github.com/molstar/mol-view-spec), a specification approach that defines molecular visualizations, decoupling them from the varying implementation details of different molecular viewers. Through the protocols presented herein, we demonstrate how to use MolViewSpec and its 3D view-building Python library for creating sophisticated, customized 3D views covering all standard molecular visualizations. MolViewSpec supports representations like cartoon and ball-and-stick with coloring, labeling, and applying complex transformations such as superposition to any macromolecular structure file in mmCIF, BinaryCIF, and PDB formats. These examples showcase progress towards reusability and interoperability of molecular 3D visualization in an era when handling molecular structures at scale is a timely and pressing matter in structural bioinformatics as well as research and education across the life sciences. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1 Creating a MolViewSpec view using the MolViewSpec Python package Basic Protocol 2 Creating a MolViewSpec view with reference to MolViewSpec annotation files Basic Protocol 3 Creating a MolViewSpec view with labels and other advanced features Support Protocol 1 Computing rotation and translation vectors Support Protocol 2 Creating a MolViewSpec annotation file.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Curr Protoc Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Curr Protoc Ano de publicação: 2024 Tipo de documento: Article
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