Combinatorial computational method gives new picomolar ligands for a known enzyme
Author(s) -
Bartosz A. Grzybowski,
Alexey Ishchenko,
ChuYoung Kim,
George Topalov,
Robert N. Chapman,
D.W. Christianson,
George M. Whitesides,
Eugene I. Shakhnovich
Publication year - 2002
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.032673399
Subject(s) - carbonic anhydrase , carbonic anhydrase ii , chemistry , affinities , enantiomer , binding affinities , enzyme , small molecule , molecule , stereochemistry , stereoisomerism , combinatorial chemistry , computational biology , biochemistry , biology , receptor , organic chemistry
Combinatorial small molecule growth algorithm was used to design inhibitors for human carbonic anhydrase II. Two enantiomeric candidate molecules were predicted to bind with high potency (with R isomer binding stronger than S), but in two distinct conformations. The experiments verified that computational predictions concerning the binding affinities and the binding modes were correct for both isomers. The designed R isomer is the best-known inhibitor (K(d) approximately 30 pM) of human carbonic anhydrase II.
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