Literature DB >> 32196545

Visualizing protein structures - tools and trends.

Xavier Martinez1,2, Matthieu Chavent3, Marc Baaden1,2.   

Abstract

Molecular visualization is fundamental in the current scientific literature, textbooks and dissemination materials. It provides an essential support for presenting results, reasoning on and formulating hypotheses related to molecular structure. Tools for visual exploration of structural data have become easily accessible on a broad variety of platforms thanks to advanced software tools that render a great service to the scientific community. These tools are often developed across disciplines bridging computer science, biology and chemistry. This mini-review was written as a short and compact overview for scientists who need to visualize protein structures and want to make an informed decision which tool they should use. Here, we first describe a few 'Swiss Army knives' geared towards protein visualization for everyday use with an existing large user base, then focus on more specialized tools for peculiar needs that are not yet as broadly known. Our selection is by no means exhaustive, but reflects a diverse snapshot of scenarios that we consider informative for the reader. We end with an account of future trends and perspectives.
© 2020 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Keywords:  molecular graphics; protein visualization; software tools; virtual reality

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Year:  2020        PMID: 32196545     DOI: 10.1042/BST20190621

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  2 in total

1.  ProteoVision: web server for advanced visualization of ribosomal proteins.

Authors:  Petar I Penev; Holly M McCann; Caeden D Meade; Claudia Alvarez-Carreño; Aparna Maddala; Chad R Bernier; Vasanta L Chivukula; Maria Ahmad; Burak Gulen; Aakash Sharma; Loren Dean Williams; Anton S Petrov
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

2.  High-performance macromolecular data delivery and visualization for the web.

Authors:  David Sehnal; Radka Svobodová; Karel Berka; Alexander S Rose; Stephen K Burley; Sameer Velankar; Jaroslav Koča
Journal:  Acta Crystallogr D Struct Biol       Date:  2020-11-26       Impact factor: 7.652

  2 in total

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