Protemot: prediction of protein binding sites with automatically extracted geometrical templates
Author(s) -
Darby Tien-Hao Chang,
Yi-Zhong Weng,
JungHsin Lin,
MingJing Hwang,
YenJen Oyang
Publication year - 2006
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkl344
Subject(s) - protein data bank (rcsb pdb) , template , protein data bank , expediting , web server , biology , computer science , mechanism (biology) , computational biology , data mining , bioinformatics , protein structure , database , information retrieval , world wide web , the internet , programming language , biochemistry , engineering , philosophy , systems engineering , epistemology
Geometrical analysis of protein tertiary substructures has been an effective approach employed to predict protein binding sites. This article presents the Protemot web server that carries out prediction of protein binding sites based on the structural templates automatically extracted from the crystal structures of protein-ligand complexes in the PDB (Protein Data Bank). The automatic extraction mechanism is essential for creating and maintaining a comprehensive template library that timely accommodates to the new release of PDB as the number of entries continues to grow rapidly. The design of Protemot is also distinctive by the mechanism employed to expedite the analysis process that matches the tertiary substructures on the contour of the query protein with the templates in the library. This expediting mechanism is essential for providing reasonable response time to the user as the number of entries in the template library continues to grow rapidly due to rapid growth of the number of entries in PDB. This article also reports the experiments conducted to evaluate the prediction power delivered by the Protemot web server. Experimental results show that Protemot can deliver a superior prediction power than a web server based on a manually curated template library with insufficient quantity of entries.
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