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