Exploring the Potential of Chromones as Inhibitors of Novel Coronavirus Infection Based on Molecular Docking and Molecular Dynamics Simulation Studies

被引:8
作者
Sharma, Varruchi [1 ]
Panwar, Anil [2 ]
Sankhyan, Atul [3 ]
Ram, Gobind [4 ]
Sharma, Anil Kumar [5 ]
机构
[1] Sri Gum Gobind Singh Coll, Dept Biotechnol & Bioinformat, Sect 26, Chandigarh, India
[2] CCS Haryana Agr Univ, Coll Basic Sci & Humanities, Dept Mol Biol Biotechnol & Bioinformat, Hisar 125004, Haryana, India
[3] Govt Dent Coll, Dept Publ Hlth Dent, Shimla, India
[4] Layalpur Khalsa Coll, Dept Biotechnol, Jalandhar, Punjab, India
[5] Maharishi Markandeshwar Deemed Univ, Dept Biotechnol, Mullana Ambala 133207, Haryana, India
关键词
COVID-19; Chromone; molecular simulation; SARS-Cov-2; infection; inhibitor; COVID-19;
D O I
10.33263/BRIAC132.104
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The COVID-19 has been declared a global pandemic by the WHO. There are no approved drugs to treat the disease in the present scenario, by which there is an urgent need for best-suited antiviral therapy against COVID-19. Natural compounds (Chromone) have a significant effect on treating COVID-19 and other diseases. Chromone compounds can be used as an adjunctive treatment for SARS-CoV-2 infection. Herein, we have applied a bioinformatics approach to check out the lead molecule's binding capabilities to that of H-Bonding with THE 638 and TYR 612, PI Bonding with VAL622 VAL 610 and PRO 295, that interact with specifically defined residues in substrate binding cavity. Further, molecular simulation studies have been performed that revealed that the ligand's binding made the substrate more fluctuating and dynamic. The study affirms that the Chromone may serve as an effective tool to fight COVID-19 disease having promising binding activities.
引用
收藏
页数:8
相关论文
共 50 条
[41]   Synthesis, biological evaluation and molecular docking studies of chromone derivatives as potential α-glucosidase inhibitors [J].
Fan, Meiyan ;
Zhong, Xu ;
Huang, Yong ;
Peng, Zhiyun ;
Wang, Guangcheng .
JOURNAL OF MOLECULAR STRUCTURE, 2023, 1274
[42]   Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies [J].
Halimi, Mohammad ;
Bararpour, Parvindokht .
JOURNAL OF MOLECULAR MODELING, 2022, 28 (09)
[43]   Identification of potential COVID-19 Mpro inhibitors through covalent drug docking, molecular dynamics simulation, and MMGBSA calculation [J].
Abadi, Mohammad Hossein Haghir Ebrahim ;
Bayani, Fatemeh ;
Sefidbakht, Yahya .
SCIENTIFIC REPORTS, 2025, 15 (01)
[44]   Identification of musk compounds as inhibitors of the main SARS-CoV-2 protease by molecular docking and molecular dynamics studies [J].
Belhassan, Assia ;
Salgado, Guillermo ;
Mendoza-Huizar, Luis humberto ;
Zaki, Hanane ;
Chtita, Samir ;
Lakhlifi, Tahar ;
Bouachrine, Mohammed ;
Candia, Lorena gerli ;
Cardona, Wilson .
JOURNAL OF THE SERBIAN CHEMICAL SOCIETY, 2024, 89 (11) :1447-1460
[45]   Molecular docking and molecular dynamics simulation study on the toxicity mechanism of bongkrekic acid [J].
Li, Hongmei ;
Liang, Zhen ;
Li, Ying ;
Wen, Jiazhen ;
Zhang, Rong .
TOXICON, 2023, 223
[46]   Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 MPro, using molecular docking and dynamics simulation studies [J].
Ahamad, Shahzaib ;
Kanipakam, Hema ;
Birla, Shweta ;
Ali, Md Shaukat ;
Gupta, Dinesh .
EUROPEAN JOURNAL OF PHARMACOLOGY, 2021, 890
[47]   In silico prediction of potential inhibitors for SARS-CoV-2 Omicron variant using molecular docking and dynamics simulation-based drug repurposing [J].
Eslam A. R. Mohamed ;
Islam M. Abdel-Rahman ;
Magdi E. A. Zaki ;
Ahmad Al-Khdhairawi ;
Mahmoud M. Abdelhamid ;
Ahmad M. Alqaisi ;
Lyana binti Abd Rahim ;
Bilal Abu-Hussein ;
Azza A. K. El-Sheikh ;
Sayed F. Abdelwahab ;
Heba Ali Hassan .
Journal of Molecular Modeling, 2023, 29
[48]   In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing [J].
Kumar, Yogesh ;
Singh, Harvijay ;
Patel, Chirag N. .
JOURNAL OF INFECTION AND PUBLIC HEALTH, 2020, 13 (09) :1210-1223
[49]   In silico prediction of potential inhibitors for SARS-CoV-2 Omicron variant using molecular docking and dynamics simulation-based drug repurposing [J].
Mohamed, Eslam A. R. ;
Abdel-Rahman, Islam M. ;
Zaki, Magdi E. A. ;
Al-Khdhairawi, Ahmad ;
Abdelhamid, Mahmoud M. ;
Alqaisi, Ahmad M. ;
Abd Rahim, Lyana Binti ;
Abu-Hussein, Bilal ;
El-Sheikh, Azza A. K. ;
Abdelwahab, Sayed F. ;
Hassan, Heba Ali .
JOURNAL OF MOLECULAR MODELING, 2023, 29 (03)
[50]   DFT, molecular docking and molecular dynamics simulation studies on some newly introduced natural products for their potential use against SARS-CoV-2 [J].
Erdogan, Taner .
JOURNAL OF MOLECULAR STRUCTURE, 2021, 1242