Andrianov Alexander M, Kashyn Ivan A, Tuzikov Alexander V
* Institute of Bioorganic Chemistry, National Academy of Sciences of Belarus, Kuprevich Street 5/2 220141 Minsk, Republic of Belarus.
† United Institute of Informatics Problems, National Academy of Sciences of Belarus, Surganov Street 6, 220012 Minsk, Republic of Belarus.
J Bioinform Comput Biol. 2018 Apr;16(2):1840007. doi: 10.1142/S0219720018400073. Epub 2018 Jan 15.
An integrated computational approach to in silico drug design was used to identify novel HIV-1 fusion inhibitor scaffolds mimicking broadly neutralizing antibody (bNab) 10E8 targeting the membrane proximal external region (MPER) of the HIV-1 gp41 protein. This computer-based approach included (i) generation of pharmacophore models representing 3D-arrangements of chemical functionalities that make bNAb 10E8 active towards the gp41 MPER segment, (ii) shape and pharmacophore-based identification of the 10E8-mimetic candidates by a web-oriented virtual screening platform pepMMsMIMIC, (iii) high-throughput docking of the identified compounds with the gp41 MPER peptide, and (iv) molecular dynamics simulations of the docked structures followed by binding free energy calculations. As a result, eight hits-able to mimic pharmacophore properties of bNAb 10E8 by specific and effective interactions with the MPER region of the HIV-1 protein gp41 were selected as the most probable 10E8-mimetic candidates. Similar to 10E8, the predicted compounds target the critically important residues of a highly conserved hinge region of the MPER peptide that provides a conformational flexibility necessary for its functioning in cell-virus membrane fusion process. In light of the data obtained, the identified small molecules may present promising HIV-1 fusion inhibitor scaffolds for the design of novel potent antiviral drugs.
采用一种用于计算机辅助药物设计的综合计算方法,来识别模仿广泛中和抗体(bNab)10E8的新型HIV-1融合抑制剂支架,该抗体靶向HIV-1 gp41蛋白的膜近端外部区域(MPER)。这种基于计算机的方法包括:(i)生成代表使bNAb 10E8对gp41 MPER片段具有活性的化学官能团三维排列的药效团模型;(ii)通过面向网络的虚拟筛选平台pepMMsMIMIC,基于形状和药效团识别10E8模拟物候选物;(iii)将鉴定出的化合物与gp41 MPER肽进行高通量对接;(iv)对对接结构进行分子动力学模拟,随后进行结合自由能计算。结果,通过与HIV-1蛋白gp41的MPER区域进行特异性和有效相互作用,能够模拟bNAb 10E8药效团特性的8种命中化合物被选为最有可能的10E8模拟物候选物。与10E8相似,预测的化合物靶向MPER肽高度保守铰链区的关键残基,该区域为其在细胞-病毒膜融合过程中发挥作用提供了必要的构象灵活性。根据获得的数据,鉴定出的小分子可能为新型强效抗病毒药物的设计提供有前景的HIV-1融合抑制剂支架。