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Potential inhibitors for SARS-CoV-2 Mpro from marine compounds.
Tam, Nguyen Minh; Pham, Minh Quan; Nguyen, Huy Truong; Hong, Nam Dao; Hien, Nguyen Khoa; Quang, Duong Tuan; Thu Phung, Huong Thi; Ngo, Son Tung.
  • Tam NM; Computational Chemistry Research Group, Ton Duc Thang University Ho Chi Minh City Vietnam.
  • Pham MQ; Faculty of Applied Sciences, Ton Duc Thang University Ho Chi Minh City Vietnam.
  • Nguyen HT; Graduate University of Science and Technology, Vietnam Academy of Science and Technology Hanoi Vietnam.
  • Hong ND; Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology Hanoi Vietnam.
  • Hien NK; Faculty of Pharmacy, Ton Duc Thang University Ho Chi Minh City Vietnam.
  • Quang DT; University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City Vietnam.
  • Thu Phung HT; Graduate University of Science and Technology, Vietnam Academy of Science and Technology Hanoi Vietnam.
  • Ngo ST; Mientrung Institute for Scientific Research, Vietnam Academy of Science and Technology Hue City Thua Thien Hue Province Vietnam.
RSC Adv ; 11(36): 22206-22213, 2021 Jun 21.
Article in English | MEDLINE | ID: covidwho-1294511
ABSTRACT
Preventing the biological activity of SARS-CoV-2 main protease using natural compounds is of great interest. In this context, using a combination of AutoDock Vina and fast pulling of ligand simulations, eleven marine fungi compounds were identified that probably play as highly potent inhibitors for preventing viral replication. In particular, four compounds including M15 (3-O-(6-O-α-l-arabinopyranosyl)-ß-d-glucopyranosyl-1,4-dimethoxyxanthone), M8 (wailupemycins H), M11 (cottoquinazolines B), and M9 (wailupemycins I) adopted the predicted ligand-binding free energy of -9.87, -9.82, -9.62, and -9.35 kcal mol-1, respectively, whereas the other adopted predicted ligand-binding free energies in the range from -8.54 to -8.94 kcal mol-1. The results were obtained using a combination of Vina and FPL simulations. Notably, although, AutoDock4 adopted higher accurate results in comparison with Vina, Vina is proven to be a more suitable technique for rapidly screening ligand-binding affinity with a large database of compounds since it requires much smaller computing resources. Furthermore, FPL is better than Vina to classify inhibitors upon ROC-AUC analysis.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: RSC Adv Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: RSC Adv Year: 2021 Document Type: Article