Home LiteratureArticle Details
PMID: 15984891 Published · ppublish English Journal Article

Representing receptor flexibility in ligand docking through relevant normal modes.

Journal of the American Chemical Society ·Vol. 127 ·No. 26 ·2005-07-06 ·Pages 9632-40

Cavasotto CN, Kovacs JA, Abagyan RA

Abstract

Inspired by the current representation of the ligand-receptor binding process, a normal-mode-based methodology is presented to incorporate receptor flexibility in ligand docking and virtual screening. However, the systematic representation of the deformation space grows geometrically with the number of modes, and furthermore, midscale loop rearrangements like those found in protein kinase binding pockets cannot be accounted for with the first lowest-frequency modes. We thus introduced a measure of relevance of normal modes on a given region of interest and showed that only very few modes in the low-frequency range are necessary and sufficient to describe loop flexibility in cAMP-dependent protein kinase. We used this approach to generate an ensemble of representative receptor backbone conformations by perturbing the structure along a combination of relevant modes. Each ensemble conformation is complexed with known non-native binders to optimize the position of the binding-pocket side chains through a full flexible docking procedure. The multiple receptor conformations thus obtained are used in a small-scale virtual screening using receptor ensemble docking. We evaluated this algorithm on holo and apo structures of cAMP-dependent protein kinase that exhibit backbone rearrangements on two independent loop regions close to the binding pocket. Docking accuracy is improved, since the ligands considered in the virtual screening docked within 1.5 A to at least one of the structures. The discrimination between binders and nonbinders is also enhanced, as shown by the improvement of the enrichment factor. This constitutes a new step toward the systematic integration of flexible ligand-flexible receptor docking tools in structure-based drug discovery.

MeSH Terms
Algorithms Computer Simulation Ligands Protein Binding Protein Kinases/chemistry,metabolism Receptors, Cell Surface/chemistry,metabolism
Chemicals
Ligands Receptors, Cell Surface Protein Kinases
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Cavasotto Claudio N
Molsoft LLC, 3366 North Torrey Pines Court, Suite 300, La Jolla, California 92037, USA. claudio@molsoft.com
Kovacs Julio A
Abagyan Ruben A
Article Info
Journal
Journal of the American Chemical Society
Abbr.
J Am Chem Soc
ISSN
0002-7863
Published
2005-07-06
Pages
9632-40
Language
English
Region
United States
NLM ID
7503056
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