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Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D

Plasmepsins (Plms) are aspartic proteases involved in the degradation of human hemoglobin by P. falciparum and are essential for the survival and growth of the parasite. Therefore, Plm enzymes are reported as an important antimalarial drug target. Herein, we have applied molecular docking, molecular...

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Autores principales: Martins, Lucas Sousa, Kruger, Hendrik Gerhardus, Naicker, Tricia, Alves, Cláudio Nahum, Lameira, Jerônimo, Araújo Silva, José Rogério
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773328/
https://www.ncbi.nlm.nih.gov/pubmed/36605626
http://dx.doi.org/10.1039/d2ra06246a
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author Martins, Lucas Sousa
Kruger, Hendrik Gerhardus
Naicker, Tricia
Alves, Cláudio Nahum
Lameira, Jerônimo
Araújo Silva, José Rogério
author_facet Martins, Lucas Sousa
Kruger, Hendrik Gerhardus
Naicker, Tricia
Alves, Cláudio Nahum
Lameira, Jerônimo
Araújo Silva, José Rogério
author_sort Martins, Lucas Sousa
collection PubMed
description Plasmepsins (Plms) are aspartic proteases involved in the degradation of human hemoglobin by P. falciparum and are essential for the survival and growth of the parasite. Therefore, Plm enzymes are reported as an important antimalarial drug target. Herein, we have applied molecular docking, molecular dynamics (MD) simulations, and binding free energy with the Linear Interaction Energy (LIE) approach to investigate the binding of peptidomimetic PlmIV inhibitors with a particular focus on understanding their selectivity against the human Asp protease cathepsin D (CatD). The residual decomposition analysis results suggest that amino acid differences in the subsite S3 of PlmIV and CatD are responsible for the higher selectivity of the 5a inhibitor. These findings yield excellent agreement with experimental binding data and provide new details regarding van der Waals and electrostatic interactions of subsite residues as well as structural properties of the PlmIV and CatD systems.
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spelling pubmed-97733282023-01-04 Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D Martins, Lucas Sousa Kruger, Hendrik Gerhardus Naicker, Tricia Alves, Cláudio Nahum Lameira, Jerônimo Araújo Silva, José Rogério RSC Adv Chemistry Plasmepsins (Plms) are aspartic proteases involved in the degradation of human hemoglobin by P. falciparum and are essential for the survival and growth of the parasite. Therefore, Plm enzymes are reported as an important antimalarial drug target. Herein, we have applied molecular docking, molecular dynamics (MD) simulations, and binding free energy with the Linear Interaction Energy (LIE) approach to investigate the binding of peptidomimetic PlmIV inhibitors with a particular focus on understanding their selectivity against the human Asp protease cathepsin D (CatD). The residual decomposition analysis results suggest that amino acid differences in the subsite S3 of PlmIV and CatD are responsible for the higher selectivity of the 5a inhibitor. These findings yield excellent agreement with experimental binding data and provide new details regarding van der Waals and electrostatic interactions of subsite residues as well as structural properties of the PlmIV and CatD systems. The Royal Society of Chemistry 2022-12-22 /pmc/articles/PMC9773328/ /pubmed/36605626 http://dx.doi.org/10.1039/d2ra06246a Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Martins, Lucas Sousa
Kruger, Hendrik Gerhardus
Naicker, Tricia
Alves, Cláudio Nahum
Lameira, Jerônimo
Araújo Silva, José Rogério
Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title_full Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title_fullStr Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title_full_unstemmed Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title_short Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D
title_sort computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin iv inhibitors against cathepsin d
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773328/
https://www.ncbi.nlm.nih.gov/pubmed/36605626
http://dx.doi.org/10.1039/d2ra06246a
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