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基于计算机的 JMJD3 去甲基化酶抑制剂的鉴定。

In Silico Identification of JMJD3 Demethylase Inhibitors.

机构信息

Department of Biochemistry , University of Zurich , Winterthurerstrasse 190 , CH-8057 Zurich , Switzerland.

出版信息

J Chem Inf Model. 2018 Oct 22;58(10):2151-2163. doi: 10.1021/acs.jcim.8b00539. Epub 2018 Oct 3.

Abstract

In the search for new demethylase inhibitors, we have developed a multistep protocol for in silico screening. Millions of poses generated by high-throughput docking or a 3D-pharmacophore search are first minimized by a classical force field and then filtered by semiempirical quantum mechanical calculations of the interaction energy with a selected set of functional groups in the binding site. The final ranking includes solvation effects which are evaluated in the continuum dielectric approximation (finite-difference Poisson equation). Application of the multistep protocol to JMJD3 jumonji demethylase has resulted in a dozen low-micromolar inhibitors belonging to five different chemical classes. We have solved the crystal structure of JMJD3 inhibitor 8 in the complex with UTX (a demethylase in the same subfamily as JMJD3) which validates the predicted binding mode. Compound 8 is a promising candidate for future optimization as it has a favorable ligand efficiency of 0.32 kcal/mol per nonhydrogen atom.

摘要

在寻找新的去甲基酶抑制剂的过程中,我们开发了一种多步骤的计算机筛选方案。高通量对接或三维药效团搜索生成的数百万个构象首先通过经典力场进行最小化,然后通过半经验量子力学计算与结合位点中选定的功能基团的相互作用能进行过滤。最终的排名包括在连续介电近似(有限差分泊松方程)中评估的溶剂化效应。将多步骤方案应用于 JMJD3 jumonji 去甲基酶,得到了十几个属于五个不同化学类别的低微摩尔抑制剂。我们已经解决了 JMJD3 抑制剂 8 与 UTX(与 JMJD3 同亚家族的去甲基酶)复合物的晶体结构,验证了预测的结合模式。化合物 8 是未来优化的有希望的候选物,因为它具有 0.32 kcal/mol/非氢原子的有利配体效率。

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