Salmaso Veronica, Moro Stefano
Molecular Modeling Section, Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy.
Front Pharmacol. 2018 Aug 22;9:923. doi: 10.3389/fphar.2018.00923. eCollection 2018.
Computational techniques have been applied in the drug discovery pipeline since the 1980s. Given the low computational resources of the time, the first molecular modeling strategies relied on a rigid view of the ligand-target binding process. During the years, the evolution of hardware technologies has gradually allowed simulating the dynamic nature of the binding event. In this work, we present an overview of the evolution of structure-based drug discovery techniques in the study of ligand-target recognition phenomenon, going from the static molecular docking toward enhanced molecular dynamics strategies.
自20世纪80年代以来,计算技术已被应用于药物发现流程。鉴于当时的计算资源有限,最初的分子建模策略依赖于对配体-靶点结合过程的僵化观点。多年来,硬件技术的发展逐渐使得能够模拟结合事件的动态性质。在这项工作中,我们概述了基于结构的药物发现技术在配体-靶点识别现象研究中的发展历程,从静态分子对接发展到增强分子动力学策略。