Discovering high-affinity ligands from the computationally predicted structures and affinities of small molecules bound to a target: A virtual screening approach

Citation
Tj. Marrone et al., Discovering high-affinity ligands from the computationally predicted structures and affinities of small molecules bound to a target: A virtual screening approach, PERSP DR D, 20(1), 2000, pp. 209-230
Citations number
36
Categorie Soggetti
Pharmacology & Toxicology
Journal title
PERSPECTIVES IN DRUG DISCOVERY AND DESIGN
ISSN journal
09282866 → ACNP
Volume
20
Issue
1
Year of publication
2000
Pages
209 - 230
Database
ISI
SICI code
0928-2866(2000)20:1<209:DHLFTC>2.0.ZU;2-I
Abstract
We describe a 'virtual NMR screening' method to assist in the design of inh ibitors that occupy different sites within a target. We dock small molecule s into the active site of an enzyme and score them. Keeping the tightest-bi nding lead fixed in space, we dock and score other small molecules in its p resence. Using this approach, linker groups are used to join the compounds together to form a high-affinity inhibitor. We present validation of our co mputational approach by reproducing experimental results for FKBP and strom elysin. Docking simulations are not subject to experimental problems such a s proteolysis, protein or compound insolubility, or enzyme size. Because do cking is fast and our scoring method can distinguish between high- and low- affinity inhibitors, this docking procedure shows promise as integral part of a drug-design strategy.