Literature DB >> 23828134

Structural biology computing: Lessons for the biomedical research sciences.

Andrew Morin1, Piotr Sliz.   

Abstract

The field of structural biology, whose aim is to elucidate the molecular and atomic structures of biological macromolecules, has long been at the forefront of biomedical sciences in adopting and developing computational research methods. Operating at the intersection between biophysics, biochemistry, and molecular biology, structural biology's growth into a foundational framework on which many concepts and findings of molecular biology are interpreted1 has depended largely on parallel advancements in computational tools and techniques. Without these computing advances, modern structural biology would likely have remained an exclusive pursuit practiced by few, and not become the widely practiced, foundational field it is today. As other areas of biomedical research increasingly embrace research computing techniques, the successes, failures and lessons of structural biology computing can serve as a useful guide to progress in other biomedically related research fields.
Copyright © 2013 Wiley Periodicals, Inc.

Keywords:  computing; macromolecular crystallography; software; structural biology

Mesh:

Year:  2013        PMID: 23828134     DOI: 10.1002/bip.22343

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  2 in total

1.  Collaboration gets the most out of software.

Authors:  Andrew Morin; Ben Eisenbraun; Jason Key; Paul C Sanschagrin; Michael A Timony; Michelle Ottaviano; Piotr Sliz
Journal:  Elife       Date:  2013-09-10       Impact factor: 8.140

2.  Structural Organization and Dynamics of Homodimeric Cytohesin Family Arf GTPase Exchange Factors in Solution and on Membranes.

Authors:  Sanchaita Das; Andrew W Malaby; Agata Nawrotek; Wenhua Zhang; Mahel Zeghouf; Sarah Maslen; Mark Skehel; Srinivas Chakravarthy; Thomas C Irving; Osman Bilsel; Jacqueline Cherfils; David G Lambright
Journal:  Structure       Date:  2019-10-07       Impact factor: 5.006

  2 in total

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