Literature DB >> 19937848

Structural alerts, reactive metabolites, and protein covalent binding: how reliable are these attributes as predictors of drug toxicity?

Amit S Kalgutkar1, Mary T Didiuk.   

Abstract

In an increasing number of cases, a deeper understanding of the biochemical basis for idiosyncratic adverse drug reactions (IADRs) has aided to replace a vague perception of a chemical class effect with a sharper picture of individual molecular peculiarity. Considering that IADRs are too complex to duplicate in a test tube, and their idiosyncratic nature precludes prospective clinical studies, it is currently impossible to predict which new drugs will be associated with a significant incidence of toxicity. Because it is now widely appreciated that reactive metabolites, as opposed to the parent molecules from which they are derived, are responsible for the pathogenesis of some IADRs, the propensity of drug candidates to form reactive metabolites is generally considered a liability. Procedures have been implemented to monitor reactive-metabolite formation in discovery with the ultimate goal of eliminating or minimizing the liability via rational structural modification of the problematic chemical series. While such mechanistic studies have provided retrospective insight into the metabolic pathways which lead to reactive metabolite formation with toxic compounds, their ability to accurately predict the IADR potential of new drug candidates has been challenged. There are several instances of drugs that form reactive metabolites, but only a fraction thereof cause toxicity. This review article will outline current approaches to evaluate bioactivation potential of new compounds with particular emphasis on the advantages and limitation of these assays. Plausible reason(s) for the excellent safety record of certain drugs susceptible to bioactivation will also be explored and should provide valuable guidance in the use of reactive-metabolite assessments when nominating drug candidates for development.

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Year:  2009        PMID: 19937848     DOI: 10.1002/cbdv.200900055

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  17 in total

1.  QSAR classification of metabolic activation of chemicals into covalently reactive species.

Authors:  Chin Yee Liew; Chuen Pan; Andre Tan; Ke Xin Magneline Ang; Chun Wei Yap
Journal:  Mol Divers       Date:  2012-02-28       Impact factor: 2.943

Review 2.  The influence of the 'organizational factor' on compound quality in drug discovery.

Authors:  Paul D Leeson; Stephen A St-Gallay
Journal:  Nat Rev Drug Discov       Date:  2011-09-30       Impact factor: 84.694

3.  Medicinal chemistry for 2020.

Authors:  Seetharama D Satyanarayanajois; Ronald A Hill
Journal:  Future Med Chem       Date:  2011-10       Impact factor: 3.808

4.  The discovery of a potent Nav1.3 inhibitor with good oral pharmacokinetics.

Authors:  D C Pryde; N A Swain; P A Stupple; C W West; B Marron; C J Markworth; D Printzenhoff; Z Lin; P J Cox; R Suzuki; S McMurray; G J Waldron; C E Payne; J S Warmus; M L Chapman
Journal:  Medchemcomm       Date:  2017-04-28       Impact factor: 3.597

5.  Site of reactivity models predict molecular reactivity of diverse chemicals with glutathione.

Authors:  Tyler B Hughes; Grover P Miller; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2015-03-16       Impact factor: 3.739

6.  Irreversible binding of an anticancer compound (BI-94) to plasma proteins.

Authors:  Nagsen Gautam; Rhishikesh Thakare; Sandeep Rana; Amarnath Natarajan; Yazen Alnouti
Journal:  Xenobiotica       Date:  2015-04-14       Impact factor: 1.908

7.  Metabolic behavior prediction of pazopanib by cytochrome P450 (CYP) 3A4 by molecular docking.

Authors:  Xing-Jie Liu; Hua Lu; Ju-Xiang Sun; Su-Rong Wang; Yan-Shuai Mo; Xing-Sheng Yang; Ben-Kang Shi
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2015-03-04       Impact factor: 2.441

8.  Computationally Assessing the Bioactivation of Drugs by N-Dealkylation.

Authors:  Na Le Dang; Tyler B Hughes; Grover P Miller; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2018-02-06       Impact factor: 3.739

9.  Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes.

Authors:  Na Le Dang; Tyler B Hughes; Grover P Miller; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2017-03-14       Impact factor: 3.739

10.  New insights into ethionamide metabolism: influence of oxidized methionine on its degradation path.

Authors:  Nuno Vale; Diana Duarte; Alexandra Correia; Cláudia Alves; Patrícia Figueiredo; Hélder A Santos
Journal:  RSC Med Chem       Date:  2020-09-29
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