Biological Assembly Comparison with VAST.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 2 2 2020
pubmed: 2 2 2020
medline: 28 1 2021
Statut: ppublish

Résumé

The VAST+ algorithm is an efficient, simple, and elegant solution to the problem of comparing the atomic structures of biological assemblies. Given two protein assemblies, it takes as input all the pairwise structural alignments of the component proteins. It then clusters the rotation matrices from the pairwise superpositions, with the clusters corresponding to subsets of the two assemblies that may be aligned and well superposed. It uses the Vector Alignment Search Tool (VAST) protein-protein comparison method for the input structural alignments, but other methods could be used, as well. From a chosen cluster, an "original" alignment for the assembly may be defined by simply combining the relevant input alignments. However, it is often useful to reduce/trim the original alignment, using a Monte Carlo refinement algorithm, which allows biologically relevant conformational differences to be more readily detected and observed. The method is easily extended to include RNA or DNA molecules. VAST+ results may be accessed via the URL https://www.ncbi.nlm.nih.gov/Structure , then entering a PDB accession or terms in the search box, and using the link [VAST+] in the upper right corner of the Structure Summary page.

Identifiants

pubmed: 32006286
doi: 10.1007/978-1-0716-0270-6_13
doi:

Substances chimiques

Proteins 0

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

175-186

Auteurs

Thomas Madej (T)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA. madej@ncbi.nlm.nih.gov.

Aron Marchler-Bauer (A)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Christopher Lanczycki (C)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Dachuan Zhang (D)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Stephen H Bryant (SH)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

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Classifications MeSH