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差异水热力学决定PI3K-β/δ对溶剂暴露配体修饰的选择性。

Differential Water Thermodynamics Determine PI3K-Beta/Delta Selectivity for Solvent-Exposed Ligand Modifications.

作者信息

Robinson Daniel, Bertrand Thomas, Carry Jean-Christophe, Halley Frank, Karlsson Andreas, Mathieu Magali, Minoux Hervé, Perrin Marc-Antoine, Robert Benoit, Schio Laurent, Sherman Woody

机构信息

Schrodinger , 120 W 45th St, New York, New York 10036, United States.

出版信息

J Chem Inf Model. 2016 May 23;56(5):886-94. doi: 10.1021/acs.jcim.5b00641. Epub 2016 May 4.

Abstract

Phosphoinositide 3-kinases (PI3Ks) are involved in important cellular functions and represent desirable targets for drug discovery efforts, especially related to oncology; however, the four PI3K subtypes (α, β, γ, and δ) have highly similar binding sites, making the design of selective inhibitors challenging. A series of inhibitors with selectivity toward the β subtype over δ resulted in compound 3(S), which has entered a phase I/Ib clinical trial for patients with advanced PTEN-deficient cancer. Interestingly, X-ray crystallography revealed that the modifications making inhibitor 3(S) and related compounds selective toward the β-isoform do not interact directly with either PI3Kβ or PI3Kδ, thereby confounding rationalization of the SAR. Here, we apply explicit solvent molecular dynamics and solvent thermodynamic analysis using WaterMap in an effort to understand the unusual affinity and selectivity trends. We find that differences in solvent energetics and water networks, which are modulated upon binding of different ligands, explain the experimental affinity and selectivity trends. This study highlights the critical role of water molecules in molecular recognition and the importance of considering water networks in drug discovery efforts to rationalize and improve selectivity.

摘要

磷脂酰肌醇3激酶(PI3Ks)参与重要的细胞功能,是药物研发尤其是肿瘤学相关药物研发的理想靶点;然而,四种PI3K亚型(α、β、γ和δ)具有高度相似的结合位点,这使得设计选择性抑制剂具有挑战性。一系列对β亚型比对δ亚型具有选择性的抑制剂产生了化合物3(S),该化合物已进入针对晚期PTEN缺陷型癌症患者的I/Ib期临床试验。有趣的是,X射线晶体学表明,使抑制剂3(S)及相关化合物对β异构体具有选择性的修饰并不直接与PI3Kβ或PI3Kδ相互作用,从而使构效关系的合理化变得复杂。在此,我们应用显式溶剂分子动力学和使用WaterMap的溶剂热力学分析,以努力理解这种异常的亲和力和选择性趋势。我们发现,不同配体结合时所调节的溶剂能量学和水网络的差异解释了实验性的亲和力和选择性趋势。这项研究突出了水分子在分子识别中的关键作用,以及在药物研发中考虑水网络以合理化和提高选择性的重要性。

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