Structure–metabolism relationships in human- AOX: Chemical insights from a large database of aza-aromatic and amide compounds
Author(s) -
Susan Lepri,
Martina Ceccarelli,
Nicolò Milani,
Sara Tortorella,
Andrea Cucco,
Aurora Valeri,
Laura Goracci,
Andreas Brink,
Gabriele Cruciani
Publication year - 2017
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1618881114
Subject(s) - in silico , amide , chemistry , drug metabolism , drug development , enzyme , drug discovery , metabolism , aldehyde oxidase , biochemistry , database , computational biology , biology , drug , computer science , pharmacology , gene , xanthine oxidase
Significance The metabolism of xenobiotics is a critical aspect of drug discovery; nowadays, aldehyde oxidase (AOX) has emerged as a key metabolic enzyme having a pivotal role in the failures of several clinical candidates. The lack of homogenous data on possible substrates and not substrates of this enzyme represents a serious limit for the development of an in silico model for metabolism prediction. Here, we present a database of 270 chemically diverse compounds containing aza-aromatic and/or amide moieties (susceptible to human AOX), experimentally tested in vitro. The results herein reported should be useful in the development of a reliable prediction model, which should be of wide interest in chemistry, biology, biotechnology, and medicine.
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