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新型丝氨酸蛋白酶抑制剂的预测

Prediction of new serine proteinase inhibitors.

作者信息

Kurinov I V, Harrison R W

机构信息

Department of Pharmacology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

出版信息

Nat Struct Biol. 1994 Oct;1(10):735-43. doi: 10.1038/nsb1094-735.

Abstract

We describe here the use of a rapid computational method to predict the relative binding strengths of a series of small-molecule ligands for the serine proteinase trypsin. Flexible molecular models of the ligands were docked to the proteinase using an all-atom potential set, without cutoff limits for the non-bonded and electrostatic energies. The binding-strength calculation is done directly in terms of a molecular mechanics potential. The binding of eighteen different compounds, including non-binding controls, has been successfully predicted. The measured Ki is correlated with the predicted energy. The correctness of the theoretical calculations is demonstrated with both kinetics measurements and X-ray structure determination of six enzyme-inhibitor complexes.

摘要

我们在此描述一种快速计算方法的应用,该方法用于预测一系列小分子配体与丝氨酸蛋白酶胰蛋白酶的相对结合强度。使用全原子势能集将配体的柔性分子模型对接至蛋白酶,对非键合能和静电能不设截止限制。结合强度计算直接依据分子力学势能进行。已成功预测了包括非结合对照物在内的18种不同化合物的结合情况。测得的抑制常数(Ki)与预测能量相关。通过动力学测量以及六个酶 - 抑制剂复合物的X射线结构测定,证明了理论计算的正确性。

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