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Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design

The development of protein–protein interaction (PPI) inhibitors with therapeutic value is of increasing importance as the first clinical agent has now been approved, but PPIs remain difficult targets for the development of small molecule ligands. This article describes a highly efficient approach to...

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Autores principales: Beekman, Andrew M., Cominetti, Marco M. D., Walpole, Samuel J., Prabhu, Saurabh, O'Connell, Maria A., Angulo, Jesus, Searcey, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482886/
https://www.ncbi.nlm.nih.gov/pubmed/31057779
http://dx.doi.org/10.1039/c9sc00059c
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author Beekman, Andrew M.
Cominetti, Marco M. D.
Walpole, Samuel J.
Prabhu, Saurabh
O'Connell, Maria A.
Angulo, Jesus
Searcey, Mark
author_facet Beekman, Andrew M.
Cominetti, Marco M. D.
Walpole, Samuel J.
Prabhu, Saurabh
O'Connell, Maria A.
Angulo, Jesus
Searcey, Mark
author_sort Beekman, Andrew M.
collection PubMed
description The development of protein–protein interaction (PPI) inhibitors with therapeutic value is of increasing importance as the first clinical agent has now been approved, but PPIs remain difficult targets for the development of small molecule ligands. This article describes a highly efficient approach to the development of inhibitors of the p53/hDMX or hDM2 interaction that involves the design of small molecules in silico based upon a peptide/protein structure. The process for molecule design, starting from a virtual library of just over 1200 fragments, led to the eventual synthesis of twenty compounds, of which ten bound to either hDM2, hDMX or both in in vitro binding assays. This 50% success rate is extremely efficient compared to traditional high throughput screening. The identification of two selective hDMX inhibitors from twenty compounds highlights this efficiency as, to date, only two other hDMX-selective agents exist in the literature. Preliminary biological studies show that 20% of the compounds identified have cellular activity and activate downstream pathways associated with p53 activation.
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spelling pubmed-64828862019-05-03 Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design Beekman, Andrew M. Cominetti, Marco M. D. Walpole, Samuel J. Prabhu, Saurabh O'Connell, Maria A. Angulo, Jesus Searcey, Mark Chem Sci Chemistry The development of protein–protein interaction (PPI) inhibitors with therapeutic value is of increasing importance as the first clinical agent has now been approved, but PPIs remain difficult targets for the development of small molecule ligands. This article describes a highly efficient approach to the development of inhibitors of the p53/hDMX or hDM2 interaction that involves the design of small molecules in silico based upon a peptide/protein structure. The process for molecule design, starting from a virtual library of just over 1200 fragments, led to the eventual synthesis of twenty compounds, of which ten bound to either hDM2, hDMX or both in in vitro binding assays. This 50% success rate is extremely efficient compared to traditional high throughput screening. The identification of two selective hDMX inhibitors from twenty compounds highlights this efficiency as, to date, only two other hDMX-selective agents exist in the literature. Preliminary biological studies show that 20% of the compounds identified have cellular activity and activate downstream pathways associated with p53 activation. Royal Society of Chemistry 2019-03-22 /pmc/articles/PMC6482886/ /pubmed/31057779 http://dx.doi.org/10.1039/c9sc00059c Text en This journal is © The Royal Society of Chemistry 2019 http://creativecommons.org/licenses/by-nc/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported Licence (CC BY-NC 3.0)
spellingShingle Chemistry
Beekman, Andrew M.
Cominetti, Marco M. D.
Walpole, Samuel J.
Prabhu, Saurabh
O'Connell, Maria A.
Angulo, Jesus
Searcey, Mark
Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title_full Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title_fullStr Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title_full_unstemmed Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title_short Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
title_sort identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482886/
https://www.ncbi.nlm.nih.gov/pubmed/31057779
http://dx.doi.org/10.1039/c9sc00059c
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