A De-Novo drug design and ADMET study to design small molecule stabilisers targeting mutant (V210I) human prion protein against familial Creutzfeldt-Jakob disease (fCJD)

Rafat Alam, G. M. S. Rahman, Nahid Hasan, Abu Sayeed Chowdhury
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Abstract

The purpose of our project was to computationally design small molecule stabilisers targeting mutant (V210I) human prion protein (HuPrP) using combined De-novo pharmacophore based drug design and virtual molecular docking. The newly designed molecules were also analysed so it might qualify as a new cure for the familial Creutzfeldt-Jakob disease (fCJD). We collected the target protein structure from protein data bank (RCSB PDB). and minimised the energy using Yasara energy minimisation webserver and validated the structure using RAMPAGE webserver. We used KV Finder, a plug-in of Pymol to identify the drug binding pockets in the target protein. The pocket information was used for de-novo ligand design using the e-LEA3D webserver. Those ligands were used to generate a pharmacophore using LigandScout for the selected pockets. The pharmacophores were used as the search templates using Pharmit for the virtual screening of small molecules from Pubchem database followed by the docking of the screened small molecules in the pockets using Autodock Vina. Best five molecules were selected for ADMET properties using SwissADME. All the five small molecules were proven to be the ideal candidates for further drug development.
针对突变体(V210I)人朊蛋白抗家族性克雅氏病(fCJD)的小分子稳定剂的De-Novo药物设计和ADMET研究
本课题的目的是利用基于De-novo药效团的药物设计和虚拟分子对接相结合的方法,计算设计针对突变体(V210I)人类朊蛋白(HuPrP)的小分子稳定剂。新设计的分子也进行了分析,因此它可能有资格作为治疗家族性克雅氏病(fCJD)的新方法。我们从蛋白质数据库(RCSB PDB)中收集目标蛋白结构。并使用Yasara能源最小化web服务器最小化能源,并使用RAMPAGE web服务器验证结构。我们使用Pymol的插件KV Finder来识别目标蛋白中的药物结合袋。利用口袋信息在e-LEA3D网络服务器上进行从头配体设计。使用LigandScout对所选的口袋使用这些配体生成药效团。使用Pharmit将药效团作为搜索模板,从Pubchem数据库中虚拟筛选小分子,然后使用Autodock Vina将筛选到的小分子对接到口袋中。使用SwissADME选择了5个最佳的ADMET分子。这五个小分子都被证明是进一步药物开发的理想候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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