Department of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P., India.
National Centre for Sustainable Coastal Management, Ministry of Environment, Forest and Climate Change, Government of India, Anna University Campus, Chennai, Tamil Nadu, India.
J Biomol Struct Dyn. 2022;40(24):13392-13411. doi: 10.1080/07391102.2021.1988710. Epub 2021 Oct 13.
SARS-CoV-2, a member of beta coronaviruses, is a single-stranded, positive-sense RNA virus responsible for the COVID-19 pandemic. With global fatalities of the pandemic exceeding 4.57 million, it becomes crucial to identify effective therapeutics against the virus. A protease, 3CL, is responsible for the proteolysis of viral polypeptides into functional proteins, which is essential for viral pathogenesis. This indispensable activity of 3CL makes it an attractive target for inhibition studies. The current study aimed to identify potential lead molecules against 3CL of SARS-CoV-2 using a manually curated in-house library of antiviral compounds from mangrove plants. This study employed the structure-based virtual screening technique to evaluate an in-house library of antiviral compounds against 3CL of SARS-CoV-2. The library was comprised of thirty-three experimentally proven antiviral molecules extracted from different species of tropical mangrove plants. The molecules in the library were virtually screened using AutoDock Vina, and subsequently, the top five promising 3CL-ligand complexes along with 3CL-N3 (control molecule) complex were subjected to MD simulations to comprehend their dynamic behaviour and structural stabilities. Finally, the MM/PBSA approach was used to calculate the binding free energies of 3CLpro complexes. Among all the studied compounds, Catechin achieved the most significant binding free energy (-40.3 ± 3.1 kcal/mol), and was closest to the control molecule (-42.8 ± 5.1 kcal/mol), and its complex with 3CL exhibited the highest structural stability. Through extensive computational investigations, we propose Catechin as a potential therapeutic agent against SARS-CoV-2. Communicated by Ramaswamy H. Sarma.
SARS-CoV-2 是β冠状病毒家族的一员,是一种单链、正链 RNA 病毒,引发了 COVID-19 大流行。这场大流行导致的全球死亡人数超过 457 万,因此,寻找针对该病毒的有效治疗方法至关重要。一种名为 3CL 的蛋白酶负责病毒多肽的蛋白水解,这对于病毒发病机制至关重要。3CL 的这种不可或缺的活性使其成为抑制研究的有吸引力的靶标。本研究旨在使用从红树林植物中提取的抗病毒化合物的人工 curated 内部库,鉴定针对 SARS-CoV-2 的 3CL 的潜在先导分子。本研究采用基于结构的虚拟筛选技术,对来自不同热带红树林植物的 33 种经实验证实的抗病毒化合物的内部库进行了评估。该库中的分子使用 AutoDock Vina 进行虚拟筛选,随后对前五名有前途的 3CL-配体复合物以及 3CL-N3(对照分子)复合物进行 MD 模拟,以了解它们的动态行为和结构稳定性。最后,使用 MM/PBSA 方法计算 3CLpro 复合物的结合自由能。在所研究的所有化合物中,儿茶素的结合自由能最大(-40.3 ± 3.1 kcal/mol),与对照分子(-42.8 ± 5.1 kcal/mol)最接近,其与 3CL 的复合物表现出最高的结构稳定性。通过广泛的计算研究,我们提出儿茶素是一种针对 SARS-CoV-2 的潜在治疗药物。由 Ramaswamy H. Sarma 传达。