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本文引用的文献

1
Multi-target approach against SARS-CoV-2 by stone apple molecules: A master key to drug design.石苹果分子针对新型冠状病毒的多靶点方法:药物设计的关键。
Phytother Res. 2024 Jan;38(1):7-10. doi: 10.1002/ptr.7772. Epub 2023 Feb 14.
2
Computational analysis of protein-ligand interaction by targeting a cell cycle restrainer.通过靶向细胞周期抑制因子对蛋白质-配体相互作用进行计算分析。
Comput Methods Programs Biomed. 2023 Apr;231:107367. doi: 10.1016/j.cmpb.2023.107367. Epub 2023 Jan 24.
3
Inhibition of nonstructural protein 15 of SARS-CoV-2 by golden spice: A computational insight.抑制 SARS-CoV-2 的非结构蛋白 15:计算研究
Cell Biochem Funct. 2022 Dec;40(8):926-934. doi: 10.1002/cbf.3753. Epub 2022 Oct 6.
4
New phenol and chromone derivatives from the endolichenic fungus species and their antiviral activities.来自内生地衣真菌物种的新型苯酚和色酮衍生物及其抗病毒活性。
RSC Adv. 2021 Jun 29;11(36):22489-22494. doi: 10.1039/d1ra03754d. eCollection 2021 Jun 21.
5
A review on potential of natural products in the management of COVID-19.天然产物在新冠病毒疾病管理中的潜力综述。
RSC Adv. 2021 May 12;11(27):16711-16735. doi: 10.1039/d1ra00644d. eCollection 2021 Apr 30.
6
STopTox: An Alternative to Animal Testing for Acute Systemic and Topical Toxicity.STopTox:一种替代动物测试的急性全身和局部毒性测试方法。
Environ Health Perspect. 2022 Feb;130(2):27012. doi: 10.1289/EHP9341. Epub 2022 Feb 22.
7
Repurposing the drug, ivermectin, in COVID-19: toxicological points of view.重新利用药物伊维菌素治疗 COVID-19:毒理学观点。
Eur J Med Res. 2022 Feb 5;27(1):21. doi: 10.1186/s40001-022-00645-8.
8
Outcomes associated with Hydroxychloroquine and Ivermectin in hospitalized patients with COVID-19: a single-center experience.羟氯喹和伊维菌素治疗住院 COVID-19 患者的结局:单中心经验。
Rev Assoc Med Bras (1992). 2021 Oct;67(10):1466-1471. doi: 10.1590/1806-9282.20210661.
9
Deep learning approaches for de novo drug design: An overview.深度学习方法在从头药物设计中的应用:概述。
Curr Opin Struct Biol. 2022 Feb;72:135-144. doi: 10.1016/j.sbi.2021.10.001. Epub 2021 Nov 22.
10
Identification of raloxifene as a novel α-glucosidase inhibitor using a systematic drug repurposing approach in combination with cross molecular docking-based virtual screening and experimental verification.采用系统药物再利用方法结合基于分子对接的虚拟筛选和实验验证,鉴定雷洛昔芬为新型α-葡萄糖苷酶抑制剂。
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用于在计算机模拟中设计针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)刺突糖蛋白抑制剂的生物活性苯酚和色酮衍生物的从头设计。

De novo design of bioactive phenol and chromone derivatives for inhibitors of Spike glycoprotein of SARS-CoV-2 in silico.

作者信息

Lima Joan Petrus Oliveira, da Fonseca Aluísio Marques, Marinho Gabrielle Silva, da Rocha Matheus Nunes, Marinho Emanuelle Machado, Dos Santos Helcio Silva, Freire Rafael Melo, Marinho Emmanuel Silva, de Lima-Neto Pedro, Fechine Pierre Basílio Almeida

机构信息

Advanced Materials Chemistry Group (GQMat)-Department of Analytical Chemistry and Physical Chemistry, Federal University of Ceará, Campus Pici, Fortaleza, Ceará 60455-970 Brazil.

Mestrado Acadêmico em Sociobiodiversidades e Tecnologias Sustentáveis-MASTS, Instituto de Engenharias e Desenvolvimento Sustentável, Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Acarape, CE 62785-000 Brazil.

出版信息

3 Biotech. 2023 Sep;13(9):301. doi: 10.1007/s13205-023-03695-9. Epub 2023 Aug 14.

DOI:10.1007/s13205-023-03695-9
PMID:37588795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10425314/
Abstract

This work presents the synthesis of 12 phenol and chromone derivatives, prepared by the analogs, and the possibility of conducting an in silico study of its derivatives as a therapeutic alternative to combat the SARS-CoV-2, pathogen responsible for COVID-19 pandemic, using its S-glycoprotein as a macromolecular target. After the initial screening for the ranking of the products, it was chosen which structure presented the best energy bond with the target. As a result, derivative 4 was submitted to a molecular growth study using artificial intelligence, where 8436 initial structures were obtained that passed through the interaction filters and similarity to the active glycoprotein pocket through the MolAICal computational package. Thus, 557 Hits with active configuration were generated, which is very promising compared to the BLA reference link for inhibiting the biological target. Molecular dynamics also simulated these compounds to verify their stability within the active protein site to seek new therapeutic propositions to fight against the pandemic. The Hit 48 and 250 are the most active compounds against SARS-CoV-2. In summary, the results show that the Hit 250 would be more active than the natural compound, which could be further developed for further testing against SARS-CoV-2. The study employs the de novo approach to design new drugs, combining artificial intelligence and molecular dynamics simulations to create efficient molecular structures. This research aims to contribute to the development of effective therapeutic strategies against the pandemic.

摘要

这项工作展示了通过类似物制备的12种苯酚和色酮衍生物的合成,以及对其衍生物进行计算机模拟研究的可能性,该研究将其作为对抗导致COVID-19大流行的病原体SARS-CoV-2的一种治疗选择,使用其S糖蛋白作为大分子靶点。在对产物进行初步筛选以确定排名后,选择了与靶点具有最佳能量键的结构。结果,衍生物4使用人工智能进行了分子生长研究,通过MolAICal计算软件包获得了8436个初始结构,这些结构通过了相互作用筛选并与活性糖蛋白口袋相似。因此,产生了557个具有活性构型的命中物,与抑制生物靶点的BLA参考链接相比,这非常有前景。分子动力学也对这些化合物进行了模拟,以验证它们在活性蛋白位点内的稳定性,从而寻找对抗大流行的新治疗方案。命中物48和250是对抗SARS-CoV-2最具活性的化合物。总之,结果表明命中物250比天然化合物更具活性,可进一步开发用于针对SARS-CoV-2的进一步测试。该研究采用从头设计方法来设计新药,结合人工智能和分子动力学模拟来创建高效的分子结构。这项研究旨在为对抗大流行的有效治疗策略的发展做出贡献。