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A permissive secondary structure-guided superposition tool for clustering of protein fragments toward protein structure prediction via fragment assembly
Author(s) -
Gilad Wainreb,
Nurit Haspel,
Haim J. Wolfson,
Ruth Nussinov
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl098
Subject(s) - cluster analysis , computer science , fragment (logic) , protein secondary structure , sequence (biology) , similarity (geometry) , protein data bank (rcsb pdb) , matching (statistics) , protein structure prediction , algorithm , protein structure , data mining , artificial intelligence , biology , mathematics , genetics , image (mathematics) , biochemistry , statistics
Secondary-Structure Guided Superposition tool (SSGS) is a permissive secondary structure-based algorithm for matching of protein structures and in particular their fragments. The algorithm was developed towards protein structure prediction via fragment assembly.

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