Home LiteratureArticle Details
PMID: 15382244 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

FlexX-Scan: fast, structure-based virtual screening.

Proteins ·Vol. 57 ·No. 3 ·2004-11-15 ·Pages 504-17

Schellhammer I, Rarey M

Abstract

We present a new software module, FlexX-Scan, for high-throughput, structure-based virtual screening. FlexX-Scan was developed with the aim to further speed up the virtual screening process. Based on the incremental construction docking tool FlexX (Rarey et al., J Mol Biol 1996;261:470-489), a compact descriptor for representing favorable protein interaction spots within the protein binding site has been developed. The descriptor is calculated using special-purpose clustering techniques applied to the usual interaction points created by FlexX. The algorithm automatically detects a small set of interaction spots in the binding site for positioning ligand functional groups. The parametrizations of the base placement and incremental construction algorithms have been adapted to the new interaction model. We tested the software tool on a diverse set of 200 protein-ligand complexes from the protein database (PDB) (Kramer et al., Proteins 1999;37:228-241). On average, the algorithm proposes about 90 interaction spots per binding site compared to about 1000 interaction dots in FlexX. We observe that the docking solutions of FlexX-Scan have a root-mean-square deviation from the crystal structure similar to the deviation of docking solutions of standard FlexX. For further validation we also performed virtual screening experiments for cyclin-dependent kinase 2, thrombin, angiotensin-converting enzyme, and dihydrofolat reductase. In these experiments, we screened a set of 34,000 random compounds and a number of known actives for each target. With FlexX-Scan, we achieved comparable enrichments to standard FlexX, with an averaged computing time of 5-10 s per compound, depending on parametrization.

MeSH Terms
Algorithms Binding Sites CDC2-CDC28 Kinases/chemistry,metabolism Computational Biology/methods Cyclin-Dependent Kinase 2 Databases, Protein Drug Evaluation, Preclinical/methods Hydrogen Bonding Hydrophobic and Hydrophilic Interactions Ligands Models, Molecular Molecular Conformation Peptidyl-Dipeptidase A/chemistry,metabolism Phospholipases A/chemistry,metabolism Protein Binding Proteins/chemistry,metabolism Sensitivity and Specificity Software Tetrahydrofolate Dehydrogenase/chemistry,metabolism Thrombin/chemistry,metabolism Time Factors
Chemicals
Ligands Proteins Tetrahydrofolate Dehydrogenase CDC2-CDC28 Kinases Cyclin-Dependent Kinase 2 Phospholipases A Peptidyl-Dipeptidase A Thrombin
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Schellhammer Ingo
University of Hamburg, Center for Bioinformatics (ZBH), Research Group for Computational Molecular Design, Hamburg, Germany.
Rarey Matthias
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
1097-0134
Published
2004-11-15
Pages
504-17
Language
English
Region
United States
NLM ID
8700181
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com