Homology modeling in drug discovery: current trends and applications.
As structural genomics (SG) projects continue to deposit representative 3D structures of proteins, homology modeling methods will play an increasing role in structure-based drug discovery. Although computational structure prediction methods provide a cost-effective alternative in the absence of experimental structures, developing accurate enough models still remains a big challenge. In this contribution, we report the current developments in this field, discuss in silico modeling limitations, and review the successful application of this technique to different stages of the drug discovery process.
School of Health Information Sciences, The University of Texas Health Science Center at Houston, 7000 Fannin, Suite 860B, Houston, TX 77030, United States. Claudio.N.Cavasotto@uth.tmc.edu
Claudio N
CN
Cavasotto
Sharangdhar S
SS
Phatak
D000595:Amino Acid Sequence; D000818:Animals; D055808:Drug Discovery / Q000379:methods* / Q000639:trends; D006801:Humans; D008956:Models, Chemical; D008969:Molecular Sequence Data; D017433:Protein Structure, Secondary / Q000235:genetics; D040681:Structural Homology, Protein