A homology modelling-driven study leading to the discovery of the first mouse trace amine-associated receptor 5 (TAAR5) antagonists

Elena Cichero, Stefano Espinoza, Michele Tonelli, Silvia Franchini, Andrey S. Gerasimov, Claudia Sorbi, Raul R. Gainetdinov, Livio Brasili, Paola Fossa

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Several recent studies have focused on a detailed analysis of the trace amine-associated receptor type 5 (TAAR5) pharmacology, up to now revealing only a limited number of species-specific ligands, which are also active towards other TAAR receptors. In this context, we developed our work on TAAR5 applying a structure-based computational protocol, revolving around homology modeling and virtual screening calculations. In detail, mTAAR5 and hTAAR5 homology models were built, in order to explore any pattern of structural requirements which could be involved in species-specific differences. Successively, the mTAAR5 model was employed to perform a virtual screening of an in-house library of compounds, including different five-membered ring derivatives, linked to a phenyl ring through a flexible or a rigid basic moiety. The computational protocol applied allowed to select a number of chemical scaffolds that were tested in a biological assay leading to the discovery of the first two mTAAR5 antagonists.

Lingua originaleInglese
pagine (da-a)353-364
Numero di pagine12
RivistaMedChemComm
Volume7
Numero di pubblicazione2
DOI
Stato di pubblicazionePubblicato - 1 feb 2016
Pubblicato esternamente

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