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In silico drug repositioning on F508del-CFTR: A proof-of-concept study on the AIFA library

Authors :
Matteo Uggeri
Marco Rusnati
Marco Moscatelli
Pasqualina D'Ursi
Nicoletta Pedemonte
Paola Fossa
Emanuela Pesce
Alessandro Orro
Chiara Urbinati
Elena Cichero
Rita Padoan
Source :
European journal of medicinal chemistry 213 (2021). doi:10.1016/j.ejmech.2021.113186, info:cnr-pdr/source/autori:Orro A.; Uggeri M.; Rusnati M.; Urbinati C.; Pedemonte N.; Pesce E.; Moscatelli M.; Padoan R.; Cichero E.; Fossa P.; D'Ursi P./titolo:In silico drug repositioning on F508del-CFTR: A proof-of-concept study on the AIFA library/doi:10.1016%2Fj.ejmech.2021.113186/rivista:European journal of medicinal chemistry/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:213
Publication Year :
2020

Abstract

Computational drug repositioning is of growing interest to academia and industry, for its ability to rapidly screen a huge number of candidates in silico (exploiting comprehensive drug datasets) together with reduced development cost and time. The potential of drug repositioning has not been fully evaluated yet for cystic fibrosis (CF), a disease mainly caused by deletion of Phe 508 (F508del) of the cystic fibrosis transmembrane conductance regulator (CFTR) protein. F508del-CFTR is thus withheld in the endoplasmic reticulum and rapidly degraded by the ubiquitin/proteasome system. CF is still a fatal disease. Nowadays, it is treatable by some CFTR-rescuing drugs, but new-generation drugs with stronger therapeutic benefits and fewer side effects are still awaited. In this manuscript we report about the results of a pilot computational drug repositioning screening in search of F508del-CFTR-targeted drugs performed on AIFA library by means of a dedicated computational pipeline and surface plasmon resonance binding assay to experimentally validate the computational findings.

Details

ISSN :
17683254
Volume :
213
Database :
OpenAIRE
Journal :
European journal of medicinal chemistry
Accession number :
edsair.doi.dedup.....a2d0ecffa926812bc74e28ea7cd09f0c
Full Text :
https://doi.org/10.1016/j.ejmech.2021.113186