Paper Info
Title
Smap-Ws: A Parallel Web Service For Structural Proteome-Wide Ligand-Binding Site Comparison
Abstract
The proteome-wide characterization and analysis of protein ligand-binding sites and their interactions with ligands can provide pivotal information in understanding the structure, function and evolution of proteins and for designing safe and efficient therapeutics. The SMAP web service (SMAP-WS) meets this need through parallel computations designed for 3D ligand-binding site comparison and similarity searching on a structural proteome scale. SMAP-WS implements a shape descriptor (the Geometric Potential) that characterizes both local and global topological properties of the protein structure and which can be used to predict the likely ligand-binding pocket [Xie, L. and Bourne, P.E. (2007) A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand-binding sites. BMC bioinformatics, 8 (Suppl. 4.), S9.]. Subsequently a sequence order independent profile-profile alignment (SOIPPA) algorithm is used to detect and align similar pockets thereby finding protein functional and evolutionary relationships across fold space [Xie, L. and Bourne, P. E. (2008) Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments. Proc. Natl Acad. Sci. USA, 105, 5441-5446]. An extreme value distribution model estimates the statistical significance of the match [Xie, L., Xie, L. and Bourne, P.E. (2009) A unified statistical model to support local sequence order independent similarity searching for ligand-binding sites and its application to genome-based drug discovery. Bioinformatics, 25, i305-i312.]. These algorithms have been extensively benchmarked and shown to outperform most existing algorithms. Moreover, several predictions resulting from SMAP-WS have been validated experimentally. Thus far SMAP-WS has been applied to predict drug side effects, and to repurpose existing drugs for new indications. SMAP-WS provides both a user-friendly web interface and programming API for scientists to address a wide range of compute intense questions in biology and drug discovery.
Year
DOI
Venue
2010
10.1093/nar/gkq400
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
internet,proteome,ligand binding,ligands,algorithms,binding sites,nucleic,web service,protein conformation,drug discovery
Drug discovery,Biology,Proteome,Software,Statistical model,Bioinformatics,Computational biology,Web service,Genetics,User interface,Protein structure,Computation
Journal
Volume
Issue
ISSN
38
Web Server issue
0305-1048
Citations 
PageRank 
References 
12
0.73
17
Authors
4
Name
Order
Citations
PageRank
Jingyuan Ren122213.44
Lei Xie244139.48
Wilfred W. Li341329.22
Philip E. Bourne41995388.17