Toxicophore exploration as a screening technology for drug design and discovery: techniques, scope and limitations
- 4 September 2015
- journal article
- review article
- Published by Springer Nature in Archives of Toxicology
- Vol. 90 (8) , 1785-1802
Abstract
Toxicity is a common drawback of newly designed chemotherapeutic agents. With the exception of pharmacophore-induced toxicity (lack of selectivity at higher concentrations of a drug), the toxicity due to chemotherapeutic agents is based on the toxicophore moiety present in the drug. To date, methodologies implemented to determine toxicophores may be broadly classified into biological, bioanalytical and computational approaches. The biological approach involves analysis of bioactivated metabolites, whereas the computational approach involves a QSAR-based method, mapping techniques, an inverse docking technique and a few toxicophore identification/estimation tools. Being one of the major steps in drug discovery process, toxicophore identification has proven to be an essential screening step in drug design and development. The paper is first of its kind, attempting to cover and compare different methodologies employed in predicting and determining toxicophores with an emphasis on their scope and limitations. Such information may prove vital in the appropriate selection of methodology and can be used as screening technology by researchers to discover the toxicophoric potentials of their designed and synthesized moieties. Additionally, it can be utilized in the manipulation of molecules containing toxicophores in such a manner that their toxicities might be eliminated or removed.Keywords
Funding Information
- Science and Engineering Research Board (IN) (F. No. SR/FT/CS-71/2011)
- University Grants Commission (IN) (F. No. 42-676/2013(SR)
This publication has 66 references indexed in Scilit:
- An FRET-based ratiometric chemosensor for in vitro cellular fluorescence analyses of pHBiomaterials, 2012
- Structural Alert/Reactive Metabolite Concept as Applied in Medicinal Chemistry to Mitigate the Risk of Idiosyncratic Drug Toxicity: A Perspective Based on the Critical Examination of Trends in the Top 200 Drugs Marketed in the United StatesChemical Research in Toxicology, 2011
- A Zone Classification System for Risk Assessment of Idiosyncratic Drug Toxicity Using Daily Dose and Covalent BindingDrug Metabolism and Disposition, 2009
- Prediction of toxicity of nitrobenzenes using ab initio and least squares support vector machinesJournal of Hazardous Materials, 2008
- Substructure-Based Support Vector Machine Classifiers for Prediction of Adverse Effects in Diverse Classes of DrugsJournal of Chemical Information and Modeling, 2006
- In silico search of putative adverse drug reaction related proteins as a potential tool for facilitating drug adverse effect predictionToxicology Letters, 2006
- A Hybrid Abductive Inductive Proof ProcedureLogic Journal of the IGPL, 2004
- Assessment of the sensitivity of the computational programs DEREK, TOPKAT, and MCASE in the prediction of the genotoxicity of pharmaceutical moleculesEnvironmental and Molecular Mutagenesis, 2004
- Identification of Common Functional Configurations Among MoleculesJournal of Chemical Information and Computer Sciences, 1996
- p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical StructureJournal of the American Chemical Society, 1964