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In silico discovery of novel Retinoic Acid Receptor agonist structures

BACKGROUND: Several Retinoic Acid Receptors (RAR) agonists have therapeutic activity against a variety of cancer types; however, unacceptable toxicity profiles have hindered the development of drugs. RAR agonists presenting novel structural and chemical features could therefore open new avenues for...

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Detalles Bibliográficos
Autores principales: Schapira, Matthieu, Raaka, Bruce M, Samuels, Herbert H, Abagyan, Ruben
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC32304/
https://www.ncbi.nlm.nih.gov/pubmed/11405897
http://dx.doi.org/10.1186/1472-6807-1-1
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author Schapira, Matthieu
Raaka, Bruce M
Samuels, Herbert H
Abagyan, Ruben
author_facet Schapira, Matthieu
Raaka, Bruce M
Samuels, Herbert H
Abagyan, Ruben
author_sort Schapira, Matthieu
collection PubMed
description BACKGROUND: Several Retinoic Acid Receptors (RAR) agonists have therapeutic activity against a variety of cancer types; however, unacceptable toxicity profiles have hindered the development of drugs. RAR agonists presenting novel structural and chemical features could therefore open new avenues for the discovery of leads against breast, lung and prostate cancer or leukemia. RESULTS: We have analysed the induced fit of the active site residues upon binding of a known ligand. The derived binding site models were used to dock over 150,000 molecules in silico (or virtually) to the structure of the receptor with the Internal Coordinates Mechanics (ICM) program. Thirty ligand candidates were tested in vitro. CONCLUSIONS: Two novel agonists resulting from the predicted receptor model were active at 50 nM. One of them displays novel structural features which may translate into the development of new ligands for cancer therapy.
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spelling pubmed-323042001-06-14 In silico discovery of novel Retinoic Acid Receptor agonist structures Schapira, Matthieu Raaka, Bruce M Samuels, Herbert H Abagyan, Ruben BMC Struct Biol Research Article BACKGROUND: Several Retinoic Acid Receptors (RAR) agonists have therapeutic activity against a variety of cancer types; however, unacceptable toxicity profiles have hindered the development of drugs. RAR agonists presenting novel structural and chemical features could therefore open new avenues for the discovery of leads against breast, lung and prostate cancer or leukemia. RESULTS: We have analysed the induced fit of the active site residues upon binding of a known ligand. The derived binding site models were used to dock over 150,000 molecules in silico (or virtually) to the structure of the receptor with the Internal Coordinates Mechanics (ICM) program. Thirty ligand candidates were tested in vitro. CONCLUSIONS: Two novel agonists resulting from the predicted receptor model were active at 50 nM. One of them displays novel structural features which may translate into the development of new ligands for cancer therapy. BioMed Central 2001-06-04 /pmc/articles/PMC32304/ /pubmed/11405897 http://dx.doi.org/10.1186/1472-6807-1-1 Text en Copyright © 2001 Schapira et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Schapira, Matthieu
Raaka, Bruce M
Samuels, Herbert H
Abagyan, Ruben
In silico discovery of novel Retinoic Acid Receptor agonist structures
title In silico discovery of novel Retinoic Acid Receptor agonist structures
title_full In silico discovery of novel Retinoic Acid Receptor agonist structures
title_fullStr In silico discovery of novel Retinoic Acid Receptor agonist structures
title_full_unstemmed In silico discovery of novel Retinoic Acid Receptor agonist structures
title_short In silico discovery of novel Retinoic Acid Receptor agonist structures
title_sort in silico discovery of novel retinoic acid receptor agonist structures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC32304/
https://www.ncbi.nlm.nih.gov/pubmed/11405897
http://dx.doi.org/10.1186/1472-6807-1-1
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