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基于结构的虚拟筛选鉴定四种新型小分子药物样天然产物作为潜在的神经纤毛蛋白-1 抑制剂:基于药效团的分子对接和动力学模拟。

Identification of Four New Chemical Series of Small Drug-Like Natural Products as Potential Neuropilin-1 Inhibitors by Structure-Based Virtual Screening: Pharmacophore-Based Molecular Docking and Dynamics Simulation.

机构信息

Laboratory of Genetic Resources & Biotechnology, National School of Agricultural Sciences (ENSA), 16004, Algiers, Algeria.

Laboratory of Ethnobotany and Natural Substances, Department of Natural Sciences, ENS Kouba, 16050, Algiers, Algeria.

出版信息

Chem Biodivers. 2023 Mar;20(3):e202200933. doi: 10.1002/cbdv.202200933. Epub 2023 Feb 28.

Abstract

Neuropilin-1 (NRP-1), a surface transmembrane glycoprotein, is one of the most important co-receptors of VEGF-A165 (vascular endothelial growth factor) responsible for pathological angiogenesis. In general, NRP-1 overexpression in cancer correlates with poor prognosis and more tumor aggressiveness. NRP-1 role in cancer has been mainly explained by mediating VEGF-A165-induced effects on tumor angiogenesis. NRP-1 was recently identified as a co-receptor and an independent gateway for SARS-CoV-2 through binding subunit S2 of Spike protein in the same way as VEGF-A165. Thus, NRP-1 is of particular value as a target for cancer therapy and other angiogenesis-dependent diseases as well as for SARS-CoV-2 antiviral intervention. Herein, The Super Natural II, the largest available database of natural products (∼0.33 M), pre-filtered with drug-likeness criteria (absorption, distribution, metabolism and excretion/toxicity), was screened against NRP-1. NRP-1/VEGF-A165 interaction is one of protein-protein interfaces (PPIs) known to be challenging when approached in-silico. Thus, a PPI-suited multi-step virtual screening protocol, incorporating a derived pharmacophore with molecular docking and followed by MD (molecular dynamics) simulation, was designed. Two stages of pharmacophorically constrained molecular docking (standard and extra precisions), a mixed Torsional/Low-mode conformational search and MM-GBSA ΔG binding affinities calculation, resulted in the selection of 100 hits. These 100 hits were subjected to 20 ns MD simulation, that was extended to 100 ns for top hits (20) and followed by post-dynamics analysis (atomic ligand-protein contacts, RMSD, RMSF, MM-GBSA ΔG, Rg, SASA and H-bonds). Post-MD analysis showed that 19 small drug-like nonpeptide natural molecules, grouped in four chemical scaffolds (purine, thiazole, tetrahydropyrimidine and dihydroxyphenyl), well verified the derived pharmacophore and formed stable and compact complexes with NRP-1. The discovered molecules are promising and can serve as a base for further development of new NRP-1 inhibitors.

摘要

神经纤毛蛋白 1(NRP-1)是一种表面跨膜糖蛋白,是负责病理性血管生成的 VEGF-A165(血管内皮生长因子)最重要的共受体之一。一般来说,癌症中 NRP-1 的过表达与预后不良和肿瘤侵袭性增加有关。NRP-1 在癌症中的作用主要通过介导 VEGF-A165 诱导的肿瘤血管生成来解释。最近发现 NRP-1 是 SARS-CoV-2 的辅助受体和独立进入门户,通过与 Spike 蛋白的亚单位 S2 结合,与 VEGF-A165 以相同的方式。因此,NRP-1 作为癌症治疗和其他血管生成依赖性疾病以及 SARS-CoV-2 抗病毒干预的靶点具有特别重要的价值。在此,使用经过药物相似性标准(吸收、分布、代谢和排泄/毒性)预先筛选的最大天然产物数据库 The Super Natural II(约 0.33M)针对 NRP-1 进行筛选。NRP-1/VEGF-A165 相互作用是已知难以在计算机上处理的蛋白质-蛋白质相互作用(PPIs)之一。因此,设计了一种适合 PPI 的多步骤虚拟筛选方案,包括衍生的药效团、分子对接和随后的 MD(分子动力学)模拟。经过两个阶段的药效团约束分子对接(标准和额外精度)、混合扭转/低模式构象搜索和 MM-GBSA ΔG 结合亲和力计算,选择了 100 个命中物。对这 100 个命中物进行了 20 ns MD 模拟,对前 20 个命中物(20)进行了 100 ns 延长模拟,然后进行了动力学后分析(原子配体-蛋白质接触、RMSD、RMSF、MM-GBSA ΔG、Rg、SASA 和氢键)。动力学后分析表明,19 种小分子非肽天然药物,分为四个化学支架(嘌呤、噻唑、四氢嘧啶和二羟基苯基),很好地验证了衍生的药效团,并与 NRP-1 形成稳定紧凑的复合物。发现的分子具有潜力,可以作为进一步开发新型 NRP-1 抑制剂的基础。

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