Selvaraj Chandrabose, Singh Sanjeev Kumar
a Computer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Science Block , Alagappa University , Karaikudi 630004 , Tamilnadu , India .
J Biomol Struct Dyn. 2014;32(8):1333-49. doi: 10.1080/07391102.2013.818577. Epub 2013 Jul 22.
The development of SrtA inhibitors targeting the biothreat organism namely Bacillus anthracis was achieved by the combined approach of pharmacophore modeling, binding interactions, electron transferring capacity, ADME, and Molecular dynamics studies. In this study, experimentally reported Ba-SrtA inhibitors (pyridazinone and pyrazolethione derivatives) were considered for the development of enhanced pharmacophoric model. The obtained AAAHR hypothesis was a pure theoretical concept that accounts for common molecular interaction network present in experimentally active pyridazinone and pyrazolethione derivatives. Pharmacophore-based screening of AAAHR hypothesis provides several new compounds, and those compounds were treated with four phases of docking protocols with combined Glide-QPLD docking approach. In this approach, scoring and charge accuracy variations were seen to be dominated by QM/MM approach through the allocation of partial charges. Finally, we reported the best compounds from binding db, Chembridge db, and Toslab based on scoring values, energy parameters, electron transfer reaction, ADME, and cell adhesion inhibition activity. The dynamic state of interaction and binding energy assess that new compounds are more active inside the binding pocket and these compounds on experimental validations will survive as better inhibitors for targeting the cell adhesion mechanism of Ba-SrtA.
通过药效团建模、结合相互作用、电子转移能力、药物代谢动力学和分子动力学研究等综合方法,实现了针对生物威胁病原体炭疽芽孢杆菌的Sortase A(SrtA)抑制剂的开发。在本研究中,将实验报道的Ba-SrtA抑制剂(哒嗪酮和吡唑硫酮衍生物)用于构建增强药效团模型。所获得的AAAHR假设是一个纯粹的理论概念,解释了实验活性哒嗪酮和吡唑硫酮衍生物中存在的共同分子相互作用网络。基于药效团的AAAHR假设筛选得到了几种新化合物,这些化合物采用结合Glide-QPLD对接方法的四阶段对接协议进行处理。在这种方法中,通过部分电荷分配,QM/MM方法在评分和电荷准确性变化方面占主导地位。最后,我们根据评分值、能量参数、电子转移反应、药物代谢动力学和细胞黏附抑制活性,报道了来自结合数据库、Chembridge数据库和Toslab的最佳化合物。相互作用的动态状态和结合能评估表明,新化合物在结合口袋内更具活性,这些化合物经实验验证后将作为更好的抑制剂,用于靶向Ba-SrtA的细胞黏附机制。