drug repositioning;
ligand binding sites;
binding site similarity;
binding site comparison;
drug promiscuity;
LIGAND-BINDING-SITES;
ANTIFUNGAL DRUG;
SIMILARITY;
DISCOVERY;
RESOURCE;
INHIBITORS;
ALGORITHM;
DISEASES;
DATABASE;
BIOLOGY;
D O I:
10.1093/bib/bbr011
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Developing a drug de novo is a laborious and costly endeavor. Thus, the repositioning of already approved drugs for the treatment of new diseases is promising and valuable. One computational approach to repositioning exploits the structural similarity of binding sites of known and new targets. Here, we review computational methods to represent and align binding sites. We review available tools, present success stories and discuss limits of the approach.
机构:
Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
Univ N Carolina, Eshelman Sch Pharm, Lab Mol Modeling, Chapel Hill, NC 27599 USAUniv N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
Baker, Nancy C.
;
Hemminger, Bradley M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USAUniv N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
机构:
Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
Univ N Carolina, Eshelman Sch Pharm, Lab Mol Modeling, Chapel Hill, NC 27599 USAUniv N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA
Baker, Nancy C.
;
Hemminger, Bradley M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USAUniv N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC 27599 USA