e-Pharmacophore modeling and in silico study of CD147 receptor against SARS-CoV-2 drugs.

Q2 Agricultural and Biological Sciences Genomics and Informatics Pub Date : 2023-06-01 DOI:10.5808/gi.23005
Nisha Kumari Pandit, Simranjeet Singh Mann, Anee Mohanty, Sumer Singh Meena
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Abstract

Coronavirus has left severe health impacts on the human population, globally. Still a significant number of cases are reported daily as no specific medications are available for its effective treatment. The presence of the CD147 receptor (human basigin) on the host cell facilitates the severe acute respiratory disease coronavirus 2 (SARS-CoV-2) infection. Therefore, the drugs that efficiently alter the formation of CD147 and spike protein complex could be the right drug candidate to inhibit the replication of SARS-CoV-2. Hence, an e-Pharmacophore model was developed based on the receptor-ligand cavity of CD147 protein which was further mapped against pre-existing drugs of coronavirus disease treatment. A total of seven drugs were found to be suited as pharmacophores out of 11 drugs screened which was further docked with CD147 protein using CDOCKER of Biovia discovery studio. The active site sphere of the prepared protein was 101.44, 87.84, and 97.17 along with the radius being 15.33 and the root-mean-square deviation value obtained was 0.73 Å. The protein minimization energy was calculated to be -30,328.81547 kcal/mol. The docking results showed ritonavir as the best fit as it demonstrated a higher CDOCKER energy (-57.30) with correspond to CDOCKER interaction energy (-53.38). However, authors further suggest in vitro studies to understand the potential activity of the ritonavir.

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CD147受体抗SARS-CoV-2药物的e-药效团模型和计算机研究。
冠状病毒对全球人口的健康造成了严重影响。每天仍有相当数量的病例报告,因为没有特定的药物可用于有效治疗。宿主细胞上CD147受体(人基底蛋白)的存在促进了严重急性呼吸道疾病冠状病毒2 (SARS-CoV-2)的感染。因此,有效改变CD147和刺突蛋白复合物形成的药物可能是抑制SARS-CoV-2复制的正确候选药物。因此,基于CD147蛋白受体-配体空腔建立了e-药效团模型,并将其与已有的冠状病毒疾病治疗药物进行比对。在筛选的11种药物中,共有7种药物被发现适合作为药效团,并使用Biovia discovery studio的CDOCKER进一步与CD147蛋白对接。所得蛋白的活性位点球分别为101.44、87.84和97.17,半径为15.33,均方根偏差值为0.73 Å。蛋白质的最小化能量为-30,328.81547 kcal/mol。对接结果表明,利托那韦具有较高的CDOCKER能(-57.30),对应于CDOCKER相互作用能(-53.38),是最适合的对接药物。然而,作者进一步建议进行体外研究,以了解利托那韦的潜在活性。
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来源期刊
Genomics and Informatics
Genomics and Informatics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.90
自引率
0.00%
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0
审稿时长
12 weeks
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