An in silico molecular dynamics simulation study on the inhibitors of SARS-CoV-2 proteases (3CLpro and PLpro) to combat COVID-19

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F21%3A00544623" target="_blank" >RIV/61388963:_____/21:00544623 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14740/21:00122008

Výsledek na webu

<a href="https://doi.org/10.1080/08927022.2021.1957884" target="_blank" >https://doi.org/10.1080/08927022.2021.1957884</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/08927022.2021.1957884" target="_blank" >10.1080/08927022.2021.1957884</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An in silico molecular dynamics simulation study on the inhibitors of SARS-CoV-2 proteases (3CLpro and PLpro) to combat COVID-19

Popis výsledku v původním jazyce

The work attempts to recognise the possible inhibitors against Papain-like protease (PLpro) and 3-Chymotrypsin-like protease (3CLpro) of SARS-CoV-2 to combat infectious COVID-19 virus using in silico studies. These two proteases are predominantly involved in the virus replication cycle, hence they are considered as potential drug targets. The virtual dock screening was performed for 53 selected drugs. The drugs with higher binding energy and oriented in the vicinity of active binding sites were selected for finding thermal stability using molecular dynamics (MD) simulation. The docking result reflects that the drugs A17 (Dasabuvir) and A34 (Methisazone) bind with PLpro and the drugs A17 and A53 (Vaniprevir) bind with 3CLpro with higher binding affinities. The MD simulation and principal component analysis show that the drug A17 has stable dynamic behaviour with both proteins over the 300 ns time-scale. The binding free energy of complexes was predicted from the last 100 ns trajectories using MM/PBSA. The predicted binding free energy of PLPro-A17 (Dasabuvir) and PLpro-A34 complexes (Methisazone) were −16.1 kcal/mol and −12.3 kcal/mol, respectively and −41.3 kcal/mol and −11.9 kcal/mol for 3CLpro-A17 (Dasabuvir) and 3CLpro-A53 (Vaniprevir) complexes, respectively. However, further experimental validation is required to confirm their inhibitory activities against SARS-CoV-2 causing COVID-19.

Název v anglickém jazyce

An in silico molecular dynamics simulation study on the inhibitors of SARS-CoV-2 proteases (3CLpro and PLpro) to combat COVID-19

Popis výsledku anglicky

The work attempts to recognise the possible inhibitors against Papain-like protease (PLpro) and 3-Chymotrypsin-like protease (3CLpro) of SARS-CoV-2 to combat infectious COVID-19 virus using in silico studies. These two proteases are predominantly involved in the virus replication cycle, hence they are considered as potential drug targets. The virtual dock screening was performed for 53 selected drugs. The drugs with higher binding energy and oriented in the vicinity of active binding sites were selected for finding thermal stability using molecular dynamics (MD) simulation. The docking result reflects that the drugs A17 (Dasabuvir) and A34 (Methisazone) bind with PLpro and the drugs A17 and A53 (Vaniprevir) bind with 3CLpro with higher binding affinities. The MD simulation and principal component analysis show that the drug A17 has stable dynamic behaviour with both proteins over the 300 ns time-scale. The binding free energy of complexes was predicted from the last 100 ns trajectories using MM/PBSA. The predicted binding free energy of PLPro-A17 (Dasabuvir) and PLpro-A34 complexes (Methisazone) were −16.1 kcal/mol and −12.3 kcal/mol, respectively and −41.3 kcal/mol and −11.9 kcal/mol for 3CLpro-A17 (Dasabuvir) and 3CLpro-A53 (Vaniprevir) complexes, respectively. However, further experimental validation is required to confirm their inhibitory activities against SARS-CoV-2 causing COVID-19.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10608 - Biochemistry and molecular biology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Molecular Simulation

ISSN

0892-7022

e-ISSN

1029-0435

Svazek periodika

47

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

17

Strana od-do

1168-1184

Kód UT WoS článku

000678023300001

EID výsledku v databázi Scopus

2-s2.0-85111664611