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Combinatorial computational method gives new picomolar ligands for a known enzyme

机译:组合计算方法为已知的酶提供了新的皮摩尔配体

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摘要

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 (Kd ∼ 30 pM) of human carbonic anhydrase II.
机译:组合小分子生长算法用于设计人类碳酸酐酶II的抑制剂。预测两个对映体候选分子可以高效结合(R异构体的结合力强于S),但具有两个截然不同的构象。实验证明,对于两种异构体,关于结合亲和力和结合模式的计算预测是正确的。设计的R异构体是人类碳酸酐酶II的最著名抑制剂(Kd〜30 pM)。

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