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Protein Structure Similarity Clustering: Dynamic Treatment of PDB Structures Facilitates Clustering
Author(s) -
Charette Bradley D.,
MacDonald Richard G.,
Wetzel Stefan,
Berkowitz David B.,
Waldmann Herbert
Publication year - 2006
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.200602125
Subject(s) - cluster analysis , protein data bank (rcsb pdb) , structural similarity , similarity (geometry) , structural alignment , computer science , cluster (spacecraft) , data mining , docking (animal) , computational biology , protein structure , artificial intelligence , bioinformatics , sequence alignment , biology , peptide sequence , genetics , biochemistry , medicine , nursing , gene , image (mathematics) , programming language
In the family : The introduction of ligand docking, molecular dynamics, and the VAST algorithm into protein structure similarity clustering greatly streamlines the process and opens up otherwise unseen connections to new protein‐cluster partners. VAST=vector alignment search tool.