Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors

Finding new neuraminidase (N) inhibitors to improve anti-influenza treatment is necessary because of the high mutation rates of N protein. Over 3,000 flavones/flavonols and their synthesized products from the COCONUT database were performed in silico docking screening with N1-H274Y-oseltamivir prote...

Full description

Bibliographic Details
Main Authors: Thi-Kim-Quy Ha, Nguyen-Huan Pham-Khanh, Thanh-Khiet Nguyen
Format: Article
Language:English
Published: Pensoft Publishers 2024-01-01
Series:Pharmacia
Online Access:https://pharmacia.pensoft.net/article/114967/download/pdf/
_version_ 1797364749531348992
author Thi-Kim-Quy Ha
Nguyen-Huan Pham-Khanh
Thanh-Khiet Nguyen
author_facet Thi-Kim-Quy Ha
Nguyen-Huan Pham-Khanh
Thanh-Khiet Nguyen
author_sort Thi-Kim-Quy Ha
collection DOAJ
description Finding new neuraminidase (N) inhibitors to improve anti-influenza treatment is necessary because of the high mutation rates of N protein. Over 3,000 flavones/flavonols and their synthesized products from the COCONUT database were performed in silico docking screening with N1-H274Y-oseltamivir protein (PDB ID: 3CL0). Several derivatives containing nitrogen heterocyclic groups or aromatic rings showed higher anti-neuraminidase potential than that of laninamivir. Especially, the linker groups between the flavone aglycone and nitrogen heterocyclic group created the interactions with the triad of arginine residues Arg118-Arg292-Arg371, which suggested these compounds could become bifunctional inhibitors against the influenza virus strains at the sialic acid binding site and the adjacent 430-cavity position through triad of arginine residues binding. ADMET indicators and the synthesis design strategy of the most suitable compound, ethyl 4-{2-[(5-hydroxy-4-oxo-2-phenyl-4H-chromen-7-yl)oxy]acetyl}piperazine-1-carboxylate, were also successfully predicted and it could be a concerned candidate for further wet-lab synthesis, in vivo and clinical study.
first_indexed 2024-03-08T16:39:35Z
format Article
id doaj.art-db54f408c1a5450e82592f76de5fdcfd
institution Directory Open Access Journal
issn 2603-557X
language English
last_indexed 2024-03-08T16:39:35Z
publishDate 2024-01-01
publisher Pensoft Publishers
record_format Article
series Pharmacia
spelling doaj.art-db54f408c1a5450e82592f76de5fdcfd2024-01-05T11:00:08ZengPensoft PublishersPharmacia2603-557X2024-01-017111010.3897/pharmacia.71.e114967114967Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitorsThi-Kim-Quy Ha0Nguyen-Huan Pham-Khanh1Thanh-Khiet Nguyen2Can Tho UniversityCan Tho UniversityCan Tho UniversityFinding new neuraminidase (N) inhibitors to improve anti-influenza treatment is necessary because of the high mutation rates of N protein. Over 3,000 flavones/flavonols and their synthesized products from the COCONUT database were performed in silico docking screening with N1-H274Y-oseltamivir protein (PDB ID: 3CL0). Several derivatives containing nitrogen heterocyclic groups or aromatic rings showed higher anti-neuraminidase potential than that of laninamivir. Especially, the linker groups between the flavone aglycone and nitrogen heterocyclic group created the interactions with the triad of arginine residues Arg118-Arg292-Arg371, which suggested these compounds could become bifunctional inhibitors against the influenza virus strains at the sialic acid binding site and the adjacent 430-cavity position through triad of arginine residues binding. ADMET indicators and the synthesis design strategy of the most suitable compound, ethyl 4-{2-[(5-hydroxy-4-oxo-2-phenyl-4H-chromen-7-yl)oxy]acetyl}piperazine-1-carboxylate, were also successfully predicted and it could be a concerned candidate for further wet-lab synthesis, in vivo and clinical study.https://pharmacia.pensoft.net/article/114967/download/pdf/
spellingShingle Thi-Kim-Quy Ha
Nguyen-Huan Pham-Khanh
Thanh-Khiet Nguyen
Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
Pharmacia
title Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
title_full Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
title_fullStr Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
title_full_unstemmed Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
title_short Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors
title_sort molecular docking screening dynamics simulations admet and semi synthesis prediction of flavones and flavonols from the coconut database as potent bifunctional neuraminidase inhibitors
url https://pharmacia.pensoft.net/article/114967/download/pdf/
work_keys_str_mv AT thikimquyha moleculardockingscreeningdynamicssimulationsadmetandsemisynthesispredictionofflavonesandflavonolsfromthecoconutdatabaseaspotentbifunctionalneuraminidaseinhibitors
AT nguyenhuanphamkhanh moleculardockingscreeningdynamicssimulationsadmetandsemisynthesispredictionofflavonesandflavonolsfromthecoconutdatabaseaspotentbifunctionalneuraminidaseinhibitors
AT thanhkhietnguyen moleculardockingscreeningdynamicssimulationsadmetandsemisynthesispredictionofflavonesandflavonolsfromthecoconutdatabaseaspotentbifunctionalneuraminidaseinhibitors