학술논문

Binding site detection via mutual information
Document Type
Conference
Source
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on. :1770-1776 Jun, 2008
Subject
Computing and Processing
Mutual information
Random variables
Drugs
Proteins
Entropy
Databases
Crystals
Drug Discovery
GPCR
Mutual Information
Chemogenomics
Language
ISSN
1098-7584
Abstract
About 40% of all marketed drugs have the so-called G-protein coupled receptors (GPCRs) as their target protein. There exist more than 800 different GPCRs in humans, of which at least 300 GPCRs are believed to be druggable. Yet, for only two GPCRs there are three-dimensional (3D) protein crystal structures available and consequently little is known about the molecular interactions between pharmacologically active substances and the receptors in this important drug target protein family. A chemogenomics approach as an alternative to the lack of 3D structural information appears attractive for the rational design of GPCR drugs, as an enormous amount of biological activity data for various GPCRs exist and can be used to deduce GPCR structure-function relationships. In this work, we suggest a new approach for the detection of interdependance of features in the GPCR protein sequences and properties of the related small molecule ligands based on mutual information between ligand and sequence space.