Facilitating the drug repurposing with iC/E strategy: A practice on novel nNOS inhibitor discovery.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Zhaoyang Hu, Qingsen Liu, Zhong Ni
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引用次数: 0

Abstract

Over the past decades, many existing drugs and clinical/preclinical compounds have been repositioned as new therapeutic indication from which they were originally intended and to treat off-target diseases by targeting their noncognate protein receptors, such as Sildenafil and Paxlovid, termed drug repurposing (DRP). Despite its significant attraction in the current medicinal community, the DRP is usually considered as a matter of accidents that cannot be fulfilled reliably by traditional drug discovery protocol. In this study, we proposed an integrated computational/experimental (iC/E) strategy to facilitate the DRP within a framework of rational drug design, which was practiced on the identification of new neuronal nitric oxide synthase (nNOS) inhibitors from a structurally diverse, functionally distinct drug pool. We demonstrated that the iC/E strategy is very efficient and readily feasible, which confirmed that the phosphodiesterase inhibitor DB06237 showed a high inhibitory potency against nNOS synthase domain, while other two general drugs, i.e. DB02302 and DB08258, can also inhibit the synthase at nanomolar level. Structural bioinformatics analysis revealed diverse noncovalent interactions such as hydrogen bonds, hydrophobic forces and van der Waals contacts across the complex interface of nNOS active site with these identified drugs, conferring both stability and specificity for the complex recognition and association.

利用iC/E策略促进药物再利用:新nNOS抑制剂发现的实践。
在过去的几十年里,许多现有的药物和临床/临床前化合物已被重新定位为新的治疗适应症,它们最初的目的是通过靶向其非编码蛋白受体(如西地那非和奈玛特韦片/利托那韦片组合包装)来治疗脱靶疾病,称为药物再利用(DRP)。尽管DRP在当前医学界具有重要吸引力,但它通常被认为是一个意外事件,传统的药物发现方案无法可靠地实现。在这项研究中,我们提出了一种综合计算/实验(iC/E)策略,以在合理的药物设计框架内促进DRP,该策略用于从结构多样、功能不同的药物库中鉴定新的神经元一氧化氮合酶(nNOS)抑制剂。我们证明了iC/E策略是非常有效和容易可行的,这证实了磷酸二酯酶抑制剂DB06237对nNOS合酶结构域显示出高抑制效力,而其他两种通用药物,即DB02302和DB08258,也可以在纳摩尔水平上抑制合酶。结构生物信息学分析揭示了nNOS活性位点与这些已鉴定药物的复杂界面上的各种非共价相互作用,如氢键、疏水力和范德华接触,赋予了复合物识别和结合的稳定性和特异性。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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