Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0097-8485(02)00050-5
Title: CLiBE: A database of computed ligand binding energy for ligand-receptor complexes
Authors: Chen, X. 
Ji, Z.L. 
Zhi, D.G.
Chen, Y.Z. 
Keywords: Computer-aided drug design
Drug competitive binding
Ligand function and property
Ligand-receptor interaction energy
Issue Date: 1-Nov-2002
Citation: Chen, X., Ji, Z.L., Zhi, D.G., Chen, Y.Z. (2002-11-01). CLiBE: A database of computed ligand binding energy for ligand-receptor complexes. Computers and Chemistry 26 (6) : 661-666. ScholarBank@NUS Repository. https://doi.org/10.1016/S0097-8485(02)00050-5
Abstract: Consideration of binding competitiveness of a drug candidate against natural ligands and other drugs that bind to the same receptor site may facilitate the rational development of a candidate into a potent drug. A strategy that can be applied to computer-aided drug design is to evaluate ligand-receptor interaction energy or other scoring functions of a designed drug with that of the relevant ligands known to bind to the same binding site. As a tool to facilitate such a strategy, a database of ligand-receptor interaction energy is developed from known ligand-receptor 3D structural entries in the Protein Databank (PDB). The Energy is computed based on a molecular mechanics force field that has been used in the prediction of therapeutic and toxicity targets of drugs. This database also contains information about ligand function and other properties and it can be accessed at http://xin.cz3.nus.edu.sg/group/CLiBE.asp. The computed energy components may facilitate the probing of the mode of action and other profiles of binding. A number of computed energies of some PDB ligand-receptor complexes in this database are studied and compared to experimental binding affinity. A certain degree of correlation between the computed energy and experimental binding affinity is found, which suggests that the computed energy may be useful in facilitating a qualitative analysis of drug binding competitiveness. © 2002 Elsevier Science Ltd. All rights reserved.
Source Title: Computers and Chemistry
URI: http://scholarbank.nus.edu.sg/handle/10635/100269
ISSN: 00978485
DOI: 10.1016/S0097-8485(02)00050-5
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

17
checked on Nov 14, 2018

WEB OF SCIENCETM
Citations

11
checked on Nov 14, 2018

Page view(s)

48
checked on Nov 9, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.