FATCAT 2.0: towards a better understanding of the structural diversity of proteins.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
02 07 2020
Historique:
accepted: 19 05 2020
revised: 28 04 2020
received: 17 03 2020
pubmed: 30 5 2020
medline: 2 10 2020
entrez: 30 5 2020
Statut: ppublish

Résumé

FATCAT 2.0 server (http://fatcat.godziklab.org/), provides access to a flexible protein structure alignment algorithm developed in our group. In such an alignment, rotations and translations between elements in the structure are allowed to minimize the overall root mean square deviation (RMSD) between the compared structures. This allows to effectively compare protein structures even if they underwent structural rearrangements in different functional forms, different crystallization conditions or as a result of mutations. The major update for the server introduces a new graphical interface, much faster database searches and several new options for visualization of the structural differences between proteins.

Identifiants

pubmed: 32469061
pii: 5848494
doi: 10.1093/nar/gkaa443
pmc: PMC7319568
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

W60-W64

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM118187
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Références

Chem Commun (Camb). 2014 Nov 25;50(91):14117-20
pubmed: 25272278
Nucleic Acids Res. 2019 Jan 8;47(D1):D464-D474
pubmed: 30357411
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W582-5
pubmed: 15215455
Methods Mol Biol. 2020;2112:29-42
pubmed: 32006276
Nucleic Acids Res. 2016 Jan 4;44(D1):D423-8
pubmed: 26615193
Bioinformatics. 2003 Oct;19 Suppl 2:ii246-55
pubmed: 14534198
Bioinformatics. 2015 Apr 15;31(8):1322-4
pubmed: 25505090
Trends Biochem Sci. 1995 Nov;20(11):478-80
pubmed: 8578593
Biochemistry. 2012 Sep 11;51(36):7098-115
pubmed: 22891681
Nucleic Acids Res. 2014 Jul;42(Web Server issue):W240-5
pubmed: 24838569
Bioinformatics. 2010 Dec 1;26(23):2983-5
pubmed: 20937596
Proteins. 1999 Dec 1;37(4):510-1
pubmed: 10651267
Proc Natl Acad Sci U S A. 1998 Apr 28;95(9):4847-52
pubmed: 9560191
Nature. 1960 Feb 13;185(4711):416-22
pubmed: 18990801
J Mol Biol. 2005 Mar 4;346(4):1173-88
pubmed: 15701525
Nucleic Acids Res. 2014 Jan;42(Database issue):D304-9
pubmed: 24304899
Proteins. 2002 Aug 1;48(2):242-56
pubmed: 12112693
Biochemistry. 2018 Aug 14;57(32):4788-4802
pubmed: 29999305
J Mol Biol. 2009 Jan 16;385(2):665-74
pubmed: 18996395
Inorg Chem. 2007 Jun 25;46(13):5137-9
pubmed: 17523632

Auteurs

Zhanwen Li (Z)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.

Lukasz Jaroszewski (L)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.

Mallika Iyer (M)

Graduate School of Biomedical Sciences, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA.

Mayya Sedova (M)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.

Adam Godzik (A)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Databases, Protein Protein Domains Protein Folding Proteins Deep Learning

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature

Classifications MeSH