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Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors

Cystic fibrosis (CF) is the autosomal recessive disorder most recurrent in Caucasian populations. Different mutations involving the cystic fibrosis transmembrane regulator protein (CFTR) gene, which encodes the CFTR channel, are involved in CF. A number of life-prolonging therapies have been conceiv...

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Autores principales: Righetti, Giada, Casale, Monica, Liessi, Nara, Tasso, Bruno, Salis, Annalisa, Tonelli, Michele, Millo, Enrico, Pedemonte, Nicoletta, Fossa, Paola, Cichero, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663332/
https://www.ncbi.nlm.nih.gov/pubmed/33138251
http://dx.doi.org/10.3390/ijms21218084
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author Righetti, Giada
Casale, Monica
Liessi, Nara
Tasso, Bruno
Salis, Annalisa
Tonelli, Michele
Millo, Enrico
Pedemonte, Nicoletta
Fossa, Paola
Cichero, Elena
author_facet Righetti, Giada
Casale, Monica
Liessi, Nara
Tasso, Bruno
Salis, Annalisa
Tonelli, Michele
Millo, Enrico
Pedemonte, Nicoletta
Fossa, Paola
Cichero, Elena
author_sort Righetti, Giada
collection PubMed
description Cystic fibrosis (CF) is the autosomal recessive disorder most recurrent in Caucasian populations. Different mutations involving the cystic fibrosis transmembrane regulator protein (CFTR) gene, which encodes the CFTR channel, are involved in CF. A number of life-prolonging therapies have been conceived and deeply investigated to combat this disease. Among them, the administration of the so-called CFTR modulators, such as correctors and potentiators, have led to quite beneficial effects. Recently, based on QSAR (quantitative structure activity relationship) studies, we reported the rational design and synthesis of compound 2, an aminoarylthiazole-VX-809 hybrid derivative exhibiting promising F508del-CFTR corrector ability. Herein, we explored the docking mode of the prototype VX-809 as well as of the aforementioned correctors in order to derive useful guidelines for the rational design of further analogues. In addition, we refined our previous QSAR analysis taking into account our first series of in-house hybrids. This allowed us to optimize the QSAR model based on the chemical structure and the potency profile of hybrids as F508del-CFTR correctors, identifying novel molecular descriptors explaining the SAR of the dataset. This study is expected to speed up the discovery process of novel potent CFTR modulators.
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spelling pubmed-76633322020-11-14 Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors Righetti, Giada Casale, Monica Liessi, Nara Tasso, Bruno Salis, Annalisa Tonelli, Michele Millo, Enrico Pedemonte, Nicoletta Fossa, Paola Cichero, Elena Int J Mol Sci Article Cystic fibrosis (CF) is the autosomal recessive disorder most recurrent in Caucasian populations. Different mutations involving the cystic fibrosis transmembrane regulator protein (CFTR) gene, which encodes the CFTR channel, are involved in CF. A number of life-prolonging therapies have been conceived and deeply investigated to combat this disease. Among them, the administration of the so-called CFTR modulators, such as correctors and potentiators, have led to quite beneficial effects. Recently, based on QSAR (quantitative structure activity relationship) studies, we reported the rational design and synthesis of compound 2, an aminoarylthiazole-VX-809 hybrid derivative exhibiting promising F508del-CFTR corrector ability. Herein, we explored the docking mode of the prototype VX-809 as well as of the aforementioned correctors in order to derive useful guidelines for the rational design of further analogues. In addition, we refined our previous QSAR analysis taking into account our first series of in-house hybrids. This allowed us to optimize the QSAR model based on the chemical structure and the potency profile of hybrids as F508del-CFTR correctors, identifying novel molecular descriptors explaining the SAR of the dataset. This study is expected to speed up the discovery process of novel potent CFTR modulators. MDPI 2020-10-29 /pmc/articles/PMC7663332/ /pubmed/33138251 http://dx.doi.org/10.3390/ijms21218084 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Righetti, Giada
Casale, Monica
Liessi, Nara
Tasso, Bruno
Salis, Annalisa
Tonelli, Michele
Millo, Enrico
Pedemonte, Nicoletta
Fossa, Paola
Cichero, Elena
Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title_full Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title_fullStr Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title_full_unstemmed Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title_short Molecular Docking and QSAR Studies as Computational Tools Exploring the Rescue Ability of F508del CFTR Correctors
title_sort molecular docking and qsar studies as computational tools exploring the rescue ability of f508del cftr correctors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663332/
https://www.ncbi.nlm.nih.gov/pubmed/33138251
http://dx.doi.org/10.3390/ijms21218084
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