Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain

X-linked inhibitor of apoptosis protein (XIAP) exercises its biological function by locking up and inhibiting essential caspase-3, -7 and -9 toward apoptosis execution. It is overexpressed in multiple human cancers, and it plays an important role in cancer cells’ death skipping. Inhibition of XIAP-B...

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Main Authors: Marc Farag, Charline Kieffer, Nicolas Guedeney, Anne Sophie Voisin-Chiret, Jana Sopkova-de Oliveira Santos
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/28/13/5155
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author Marc Farag
Charline Kieffer
Nicolas Guedeney
Anne Sophie Voisin-Chiret
Jana Sopkova-de Oliveira Santos
author_facet Marc Farag
Charline Kieffer
Nicolas Guedeney
Anne Sophie Voisin-Chiret
Jana Sopkova-de Oliveira Santos
author_sort Marc Farag
collection DOAJ
description X-linked inhibitor of apoptosis protein (XIAP) exercises its biological function by locking up and inhibiting essential caspase-3, -7 and -9 toward apoptosis execution. It is overexpressed in multiple human cancers, and it plays an important role in cancer cells’ death skipping. Inhibition of XIAP-BIR3 domain and caspase-9 interaction was raised as a promising strategy to restore apoptosis in malignancy treatment. However, XIAP-BIR3 antagonists also inhibit cIAP1-2 BIR3 domains, leading to serious side effects. In this study, we worked on a theoretical model that allowed us to design and optimize selective synthetic XIAP-BIR3 antagonists. Firstly, we assessed various MM-PBSA strategies to predict the XIAP-BIR3 binding affinities of synthetic ligands. Molecular dynamics simulations using hydrogen mass repartition as an additional parametrization with and without entropic term computed by the interaction entropy approach produced the best correlations. These simulations were then exploited to generate 3D pharmacophores. Following an optimization with a training dataset, five features were enough to model XIAP-BIR3 synthetic ligands binding to two hydrogen bond donors, one hydrogen bond acceptor and two hydrophobic groups. The correlation between pharmacophoric features and computed MM-PBSA free energy revealed nine residues as crucial for synthetic ligand binding: Thr308, Glu314, Trp323, Leu307, Asp309, Trp310, Gly306, Gln319 and Lys297. Ultimately, and three of them seemed interesting to use to improve XIAP-BR3 versus cIAP-BIR3 selectivity: Lys297, Thr308 and Asp309.
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spelling doaj.art-e94df2824aed43ca9b7361ce247907c42023-11-18T17:09:00ZengMDPI AGMolecules1420-30492023-06-012813515510.3390/molecules28135155Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 DomainMarc Farag0Charline Kieffer1Nicolas Guedeney2Anne Sophie Voisin-Chiret3Jana Sopkova-de Oliveira Santos4Normandie Univ., UNICAEN, CERMN, 14000 Caen, FranceNormandie Univ., UNICAEN, CERMN, 14000 Caen, FranceNormandie Univ., UNICAEN, CERMN, 14000 Caen, FranceNormandie Univ., UNICAEN, CERMN, 14000 Caen, FranceNormandie Univ., UNICAEN, CERMN, 14000 Caen, FranceX-linked inhibitor of apoptosis protein (XIAP) exercises its biological function by locking up and inhibiting essential caspase-3, -7 and -9 toward apoptosis execution. It is overexpressed in multiple human cancers, and it plays an important role in cancer cells’ death skipping. Inhibition of XIAP-BIR3 domain and caspase-9 interaction was raised as a promising strategy to restore apoptosis in malignancy treatment. However, XIAP-BIR3 antagonists also inhibit cIAP1-2 BIR3 domains, leading to serious side effects. In this study, we worked on a theoretical model that allowed us to design and optimize selective synthetic XIAP-BIR3 antagonists. Firstly, we assessed various MM-PBSA strategies to predict the XIAP-BIR3 binding affinities of synthetic ligands. Molecular dynamics simulations using hydrogen mass repartition as an additional parametrization with and without entropic term computed by the interaction entropy approach produced the best correlations. These simulations were then exploited to generate 3D pharmacophores. Following an optimization with a training dataset, five features were enough to model XIAP-BIR3 synthetic ligands binding to two hydrogen bond donors, one hydrogen bond acceptor and two hydrophobic groups. The correlation between pharmacophoric features and computed MM-PBSA free energy revealed nine residues as crucial for synthetic ligand binding: Thr308, Glu314, Trp323, Leu307, Asp309, Trp310, Gly306, Gln319 and Lys297. Ultimately, and three of them seemed interesting to use to improve XIAP-BR3 versus cIAP-BIR3 selectivity: Lys297, Thr308 and Asp309.https://www.mdpi.com/1420-3049/28/13/5155XIAP-BIR3synthetic inhibitormolecular dynamicsMM-PBSA free energy prediction3D Pharmacophore
spellingShingle Marc Farag
Charline Kieffer
Nicolas Guedeney
Anne Sophie Voisin-Chiret
Jana Sopkova-de Oliveira Santos
Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
Molecules
XIAP-BIR3
synthetic inhibitor
molecular dynamics
MM-PBSA free energy prediction
3D Pharmacophore
title Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
title_full Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
title_fullStr Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
title_full_unstemmed Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
title_short Computational Tool to Design Small Synthetic Inhibitors Selective for XIAP-BIR3 Domain
title_sort computational tool to design small synthetic inhibitors selective for xiap bir3 domain
topic XIAP-BIR3
synthetic inhibitor
molecular dynamics
MM-PBSA free energy prediction
3D Pharmacophore
url https://www.mdpi.com/1420-3049/28/13/5155
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AT annesophievoisinchiret computationaltooltodesignsmallsyntheticinhibitorsselectiveforxiapbir3domain
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