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超大规模筛选天然化合物和自由能计算揭示了针对 SARS-CoV-2 受体结合域(RBD)的潜在抑制剂。

Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2.

机构信息

Zhongjing Chinese Medicine College, Nanyang Institute of Technology, 80 Changjiang Road, Nanyang 473004, China.

Nishtar Medical University, Multan 59341, Pakistan.

出版信息

Molecules. 2022 Oct 28;27(21):7317. doi: 10.3390/molecules27217317.

Abstract

The emergence of immune-evading variants of SARS-CoV-2 further aggravated the ongoing pandemic. Despite the deployments of various vaccines, the acquired mutations are capable of escaping both natural and vaccine-induced immune responses. Therefore, further investigation is needed to design a decisive pharmacological treatment that could efficiently block the entry of this virus into cells. Hence, the current study used structure-based methods to target the RBD of the recombinant variant (Deltacron) of SARS-CoV-2, which was used as a model variant. From the virtual drug screenings of various databases, a total of four hits were identified as potential lead molecules. Key residues were blocked by these molecules with favorable structural dynamic features. The binding free energies further validated the potentials of these molecules. The TBE for MNP was calculated to be -32.86 ± 0.10 kcal/mol, for SANC00222 the TBE was -23.41 ± 0.15 kcal/mol, for Liriodenine the TBE was -34.29 ± 0.07 kcal/mol, while for Carviolin the TBE was calculated to be -27.67 ± 0.12 kcal/mol. Moreover, each complex demonstrated distinct internal motion and a free energy profile, indicating a different strategy for the interaction with and inhibition of the RBD. In conclusion, the current study demands further in vivo and in vitro validation for the possible usage of these compounds as potential drugs against SARS-CoV-2 and its variants.

摘要

SARS-CoV-2 免疫逃逸变异株的出现进一步加剧了当前的大流行。尽管已经部署了各种疫苗,但获得的突变能够逃避自然和疫苗诱导的免疫反应。因此,需要进一步研究以设计一种有效的药物治疗方法,从而有效阻止该病毒进入细胞。因此,本研究使用基于结构的方法来靶向 SARS-CoV-2 的重组变体(Deltacron)的 RBD,该变体被用作模型变体。通过对各种数据库的虚拟药物筛选,共鉴定出 4 种潜在的先导分子。这些分子通过与关键残基结合来阻止其构象变化,同时具有有利的结构动态特征。结合自由能进一步验证了这些分子的潜力。MNP 的结合自由能变化(TBE)为-32.86±0.10 kcal/mol,SANC00222 的 TBE 为-23.41±0.15 kcal/mol,Liriodenine 的 TBE 为-34.29±0.07 kcal/mol,而 Carviolin 的 TBE 为-27.67±0.12 kcal/mol。此外,每个复合物都表现出不同的内部运动和自由能分布,这表明它们与 RBD 相互作用和抑制的策略不同。总之,本研究需要进一步的体内和体外验证,以确定这些化合物作为潜在的 SARS-CoV-2 及其变体药物的可能用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01c/9656483/1a16da122aa0/molecules-27-07317-g001.jpg

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