DocumentCode :
2459905
Title :
Keynote I
Author :
Skolnick, Jeffrey
Author_Institution :
Center for the Study of Syst. Biol., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2010
fDate :
17-19 May 2010
Firstpage :
1
Lastpage :
2
Abstract :
This paper discusses about new approaches for protein function identification and ligand screening. To find a robust computational method it develops a ligand homology modeling approach and show that remotely related proteins identified by threading often share a common binding site occupied by chemically similar ligands. Itapply FINDSITELHM to the human kinome and construct structure models that are subsequently subjected to virtual screening against a library of more than 2 million compounds ranked by a hierarchical approach that combines ligand- and structure-based filters.
Keywords :
functional analysis; inhibitors; molecular biophysics; proteins; proteomics; FINDSITELHM; anchor-binding mode; homology modeling; human kinome; kinase inhibitors; ligand screening; ligand-based filters; low-resolution predicted models; molecular interactions; protein functional inference; proteome scale application; rapid ligand docking; receptor crystal structure; structure-based filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Principles of Advanced and Distributed Simulation (PADS), 2010 IEEE Workshop on
Conference_Location :
Atlanta, GA
ISSN :
1087-4097
Print_ISBN :
978-1-4244-7292-5
Type :
conf
DOI :
10.1109/PADS.2010.5471647
Filename :
5471647
Link To Document :
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