School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, 4001, South Africa; School of Health Sciences, University of KwaZulu-Natal, Durban, 4001, South Africa.
School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, 4001, South Africa.
Tuberculosis (Edinb). 2020 Mar;121:101920. doi: 10.1016/j.tube.2020.101920. Epub 2020 Mar 6.
Filamentous Temperature Sensitive Mutant Z (FtsZ), an important cell division protein in bacteria, has been validated as a potential target for antibiotics development. Citric acid has been found to inhibit the polymerization of Mycobacterium tuberculosis (MTB) FtsZ and several other drugs have been predicted as potential inhibitors through a gene ontology-based drug repurposing approach. An in-depth study on four of the predicted drugs; Fusidic acid (FusA), l-tryptophan, Carbamic acid, and 2-(3-guanidinophenyl)-3-mercaptopropanoic acid, as potential inhibitors of MTB-FtsZ polymerization was conducted using Citric acid as reference compound. The applied in silico methods involve DFT calculations, molecular docking and molecular dynamics simulations. DFT approach was applied to evaluate selectivity and stability properties of the predicted drugs. Calculated parameters including non-linear optical properties, charge distribution and electrostatic potential analyses enabled selectivity prediction of these potential drugs. DFT-based descriptors revealed FusA as the most potent compound, even more reactive than the referenced compound, Citric acid, which is also supported from the molecular docking study. Parameters including MM/PBSA binding free energies, RMSD, RMSF, RoG and hydrogen bond analysis also support FusA as the best potential MTB-FtsZ polymerization inhibitor, that forms a stable complex with the protein and impose greatest level of rigidity to the protein.
丝状温度敏感突变 Z(FtsZ)是细菌中一种重要的细胞分裂蛋白,已被证实是抗生素开发的潜在靶点。柠檬酸已被发现可抑制结核分枝杆菌(MTB)FtsZ 的聚合,通过基于基因本体的药物再利用方法,预测了几种其他药物作为潜在抑制剂。本研究深入研究了四种预测药物; Fusidic acid(FusA)、l-tryptophan、Carbamic acid 和 2-(3-胍基苯基)-3-巯基丙酸,作为 MTB-FtsZ 聚合的潜在抑制剂,以柠檬酸作为参考化合物。应用的计算方法包括 DFT 计算、分子对接和分子动力学模拟。DFT 方法用于评估预测药物的选择性和稳定性。所计算的参数包括非线性光学性质、电荷分布和静电势分析,可用于预测这些潜在药物的选择性。基于 DFT 的描述符表明 FusA 是最有效的化合物,甚至比参考化合物柠檬酸更具反应性,这也得到了分子对接研究的支持。包括 MM/PBSA 结合自由能、RMSD、RMSF、RoG 和氢键分析在内的参数也支持 FusA 是最好的潜在 MTB-FtsZ 聚合抑制剂,它与蛋白质形成稳定的复合物,并对蛋白质施加最大程度的刚性。