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Finding inhibitors for PCSK9 using computational methods

Proprotein convertase subtilisin/kexin type 9 (PCSK9) is one of the key targets for atherosclerosis drug development as its binding with low-density lipoprotein receptor leads to atherosclerosis. The protein-ligand interaction helps to understand the actual mechanism for the pharmacological action....

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Autores principales: Zainab, Rida, Kaleem, Afshan, Ponczek, Michał B., Abdullah, Roheena, Iqtedar, Mehwish, Hoessli, Daniel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341581/
https://www.ncbi.nlm.nih.gov/pubmed/34351937
http://dx.doi.org/10.1371/journal.pone.0255523
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author Zainab, Rida
Kaleem, Afshan
Ponczek, Michał B.
Abdullah, Roheena
Iqtedar, Mehwish
Hoessli, Daniel C.
author_facet Zainab, Rida
Kaleem, Afshan
Ponczek, Michał B.
Abdullah, Roheena
Iqtedar, Mehwish
Hoessli, Daniel C.
author_sort Zainab, Rida
collection PubMed
description Proprotein convertase subtilisin/kexin type 9 (PCSK9) is one of the key targets for atherosclerosis drug development as its binding with low-density lipoprotein receptor leads to atherosclerosis. The protein-ligand interaction helps to understand the actual mechanism for the pharmacological action. This research aims to discover the best inhibitory candidates targeting PCSK9. To start with, reported ACE inhibitors were incorporated into pharmacophore designing using PharmaGist to produce pharmacophore models. Selected models were later screened against the ZINC database using ZINCPHARMER to define potential drug candidates that were docked with the target protein to understand their interactions. Molecular docking revealed the top 10 drug candidates against PCSK9, with binding energies ranging from -9.8 kcal·mol(-1) to -8.2 kcal·mol(-1), which were analyzed for their pharmacokinetic properties and oral bioavailability. Some compounds were identified as plant-derived compounds like (S)-canadine, hesperetin or labetalol (an antihypertensive drug). Molecular dynamics results showed that these substances formed stable protein-ligand complexes. (S)-canadine-PCSK9 complex was the most stable with the lowest RMSD. It was concluded that (S)-canadine may act as a potential inhibitor against atherosclerosis for the development of new PCSK9 inhibitory drugs in future in vitro research.
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spelling pubmed-83415812021-08-06 Finding inhibitors for PCSK9 using computational methods Zainab, Rida Kaleem, Afshan Ponczek, Michał B. Abdullah, Roheena Iqtedar, Mehwish Hoessli, Daniel C. PLoS One Research Article Proprotein convertase subtilisin/kexin type 9 (PCSK9) is one of the key targets for atherosclerosis drug development as its binding with low-density lipoprotein receptor leads to atherosclerosis. The protein-ligand interaction helps to understand the actual mechanism for the pharmacological action. This research aims to discover the best inhibitory candidates targeting PCSK9. To start with, reported ACE inhibitors were incorporated into pharmacophore designing using PharmaGist to produce pharmacophore models. Selected models were later screened against the ZINC database using ZINCPHARMER to define potential drug candidates that were docked with the target protein to understand their interactions. Molecular docking revealed the top 10 drug candidates against PCSK9, with binding energies ranging from -9.8 kcal·mol(-1) to -8.2 kcal·mol(-1), which were analyzed for their pharmacokinetic properties and oral bioavailability. Some compounds were identified as plant-derived compounds like (S)-canadine, hesperetin or labetalol (an antihypertensive drug). Molecular dynamics results showed that these substances formed stable protein-ligand complexes. (S)-canadine-PCSK9 complex was the most stable with the lowest RMSD. It was concluded that (S)-canadine may act as a potential inhibitor against atherosclerosis for the development of new PCSK9 inhibitory drugs in future in vitro research. Public Library of Science 2021-08-05 /pmc/articles/PMC8341581/ /pubmed/34351937 http://dx.doi.org/10.1371/journal.pone.0255523 Text en © 2021 Zainab et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zainab, Rida
Kaleem, Afshan
Ponczek, Michał B.
Abdullah, Roheena
Iqtedar, Mehwish
Hoessli, Daniel C.
Finding inhibitors for PCSK9 using computational methods
title Finding inhibitors for PCSK9 using computational methods
title_full Finding inhibitors for PCSK9 using computational methods
title_fullStr Finding inhibitors for PCSK9 using computational methods
title_full_unstemmed Finding inhibitors for PCSK9 using computational methods
title_short Finding inhibitors for PCSK9 using computational methods
title_sort finding inhibitors for pcsk9 using computational methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341581/
https://www.ncbi.nlm.nih.gov/pubmed/34351937
http://dx.doi.org/10.1371/journal.pone.0255523
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