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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2019
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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. |
format | Online Article Text |
id | pubmed-6482886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
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
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title_full | Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
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title_fullStr | Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
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title_full_unstemmed | Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
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title_short | Identification of selective protein–protein interaction inhibitors using efficient in silico peptide-directed ligand design
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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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