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