Pagadala Nataraj S, Syed Khajamohiddin, Tuszynski Jack
Department of Medical Microbiology and Immunology, Li Ka Shing Institute of Virology, 6-020 Katz Group Centre, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada.
Unit for Drug Discovery Research, Department of Health Sciences, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein, 9300, Free State, South Africa.
Biophys Rev. 2017 Apr;9(2):91-102. doi: 10.1007/s12551-016-0247-1. Epub 2017 Jan 16.
Molecular docking methodology explores the behavior of small molecules in the binding site of a target protein. As more protein structures are determined experimentally using X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy, molecular docking is increasingly used as a tool in drug discovery. Docking against homology-modeled targets also becomes possible for proteins whose structures are not known. With the docking strategies, the druggability of the compounds and their specificity against a particular target can be calculated for further lead optimization processes. Molecular docking programs perform a search algorithm in which the conformation of the ligand is evaluated recursively until the convergence to the minimum energy is reached. Finally, an affinity scoring function, ΔG [U total in kcal/mol], is employed to rank the candidate poses as the sum of the electrostatic and van der Waals energies. The driving forces for these specific interactions in biological systems aim toward complementarities between the shape and electrostatics of the binding site surfaces and the ligand or substrate.
分子对接方法探索小分子在靶蛋白结合位点的行为。随着越来越多的蛋白质结构通过X射线晶体学或核磁共振(NMR)光谱实验确定,分子对接越来越多地被用作药物发现的工具。对于结构未知的蛋白质,针对同源建模靶标的对接也成为可能。通过对接策略,可以计算化合物的成药性及其对特定靶标的特异性,以用于进一步的先导优化过程。分子对接程序执行一种搜索算法,其中递归评估配体的构象,直到达到能量最小值的收敛。最后,采用亲和力评分函数ΔG[千卡/摩尔中的U总],将候选构象按静电能和范德华能之和进行排序。生物系统中这些特定相互作用的驱动力旨在实现结合位点表面与配体或底物的形状和静电之间的互补性。