Catalysis and Peptide Research Unit, School of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa.
AnSynth PTY LTD, 498 Grove End Drive, Durban 4001, South Africa.
Phys Chem Chem Phys. 2020 Jan 28;22(4):2530-2539. doi: 10.1039/c9cp05639d. Epub 2020 Jan 16.
It is well known that understanding the catalytic mechanism of HIV-1 PR is the rationale on which its inhibitors were developed; therefore, a better understanding of the mechanism of natural substrate hydrolysis is important. Herein, the reaction mechanism of HIV-1 natural substrates with subtypes B and common mutant in South Africa (subtype C-SA) protease were studied through transition state modelling, using a general acid-general base (GA-GB) one-step concerted process. The activation free energies of enzyme-substrate complexes were compared based on their rate of hydrolysis using a two-layered ONIOM (B3LYP/6-31++G(d,p):AMBER) method. We expanded our computational model to obtain a better understanding of the mechanism of hydrolysis as well as how the enzyme recognises or chooses the cleavage site of the scissile bonds. Using this model, a potential substrate-based inhibitor could be developed with better potency. The calculated activation energies of natural substrates in our previous study correlated well with experimental data. A similar trend was observed for the Gag and Gag-Pol natural substrates in the present work for both enzyme complexes except for the PR-RT substrate. Natural bond orbital (NBO) analysis was also applied to determine the extent of charge transfer within the QM part of both enzymes considered and the PR-RT natural substrate. The result of this study shows that the method can be utilized as a dependable computational technique to rationalize lead compounds against specific targets.
众所周知,了解 HIV-1 PR 的催化机制是开发其抑制剂的基础;因此,更好地了解天然底物水解的机制很重要。在此,通过过渡态建模,使用通用酸-通用碱(GA-GB)一步协同过程,研究了 HIV-1 天然底物与南非亚型 B 和常见突变(亚型 C-SA)蛋白酶的反应机制。通过使用两层 ONIOM(B3LYP/6-31++G(d,p):AMBER)方法基于水解速率比较酶-底物复合物的激活自由能。我们扩展了我们的计算模型,以更好地理解水解机制以及酶如何识别或选择裂解键的切割位点。使用这种模型,可以开发出具有更好效力的基于潜在底物的抑制剂。我们之前的研究中天然底物的计算活化能与实验数据很好地相关。对于两种酶复合物,除 PR-RT 底物外,本工作中 Gag 和 Gag-Pol 天然底物也观察到了类似的趋势。自然键轨道(NBO)分析也被应用于确定所考虑的两种酶和 PR-RT 天然底物的 QM 部分内的电荷转移程度。该研究的结果表明,该方法可用作合理针对特定靶标的先导化合物的可靠计算技术。