Literature DB >> 29746101

Systematic Approach to Organizing Structural Alerts for Reactive Metabolite Formation from Potential Drugs.

Alf Claesson1, Alexander Minidis1.   

Abstract

Reactive metabolites are widely accepted as playing a pivotal role in causing idiosyncratic adverse drug reactions (IDR). However, much is unknown about the biological mechanisms of IDR, although the initiating event in most cases is an attachment of a reactive intermediate to macromolecules leading to immune-mediated responses. Reactive metabolites are also involved in many mutagenesis/carcinogenesis events by reacting with DNA. Drug designers thus have reasons to make large efforts to avoid making test compounds having a liability to generate reactive metabolites. In this Perspective we argue for using structural alerts (SA) as the most straightforward way to link forecasting about chemical hazards of planned test compounds to the accumulated knowledge base. Although many SAs have been widely recognized and reviewed previously, there are also a lot of observations that have no readily discernible chemical interpretation. For drug designers to benefit from all published data, the knowledge has to be organized in a way that is readily searchable starting with a query structure. We propose that an increased number of structural alerts with more details should be applied to obtain improved decision support. The association of selected SAs with reference drugs, whose proposed or hypothesized activation mechanisms build the knowledge base, should be readily available in a format comprising of small summaries with included hyperlinks for quick access to the original literature, as outlined in the TOC illustration. Since some structural alerts are present in drugs that do not cause idiosyncratic adverse reactions or drug-drug interactions, it is important to elaborate on the reasons for this discrepancy as much as possible.

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Year:  2018        PMID: 29746101     DOI: 10.1021/acs.chemrestox.8b00046

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  5 in total

Review 1.  Scaffold-hopping as a strategy to address metabolic liabilities of aromatic compounds.

Authors:  Phillip R Lazzara; Terry W Moore
Journal:  RSC Med Chem       Date:  2019-12-16

Review 2.  Strategies for Early Prediction and Timely Recognition of Drug-Induced Liver Injury: The Case of Cyclin-Dependent Kinase 4/6 Inhibitors.

Authors:  Emanuel Raschi; Fabrizio De Ponti
Journal:  Front Pharmacol       Date:  2019-10-24       Impact factor: 5.810

3.  In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity.

Authors:  Yinping Shi; Yuqing Hua; Baobao Wang; Ruiqiu Zhang; Xiao Li
Journal:  Front Pharmacol       Date:  2022-01-05       Impact factor: 5.810

4.  Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose.

Authors:  Yue Wu; Jieqiang Zhu; Peter Fu; Weida Tong; Huixiao Hong; Minjun Chen
Journal:  Int J Environ Res Public Health       Date:  2021-07-03       Impact factor: 3.390

Review 5.  The use of structural alerts to avoid the toxicity of pharmaceuticals.

Authors:  Carmen Limban; Diana C Nuţă; Cornel Chiriţă; Simona Negreș; Andreea L Arsene; Marina Goumenou; Spyros P Karakitsios; Aristidis M Tsatsakis; Dimosthenis A Sarigiannis
Journal:  Toxicol Rep       Date:  2018-08-31
  5 in total

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