Literature DB >> 20642426

Exploring QSARs with Extended Topochemical Atom (ETA) indices for modeling chemical and drug toxicity.

Kunal Roy1, Gopinath Ghosh.   

Abstract

Development of quantitative structure-activity relationships (QSARs) and quantitative structure-property relationships (QSPRs) has been practiced for prediction of various toxicities and other relevant properties of chemicals including drug candidates to minimize animal testing, cost and time associated with risk assessment and management processes. This communication reviews published reports of QSARs/QSPRs with Extended Topochemical Atom (ETA) indices for modeling chemical and drug induced toxicities and some physicochemical properties relevant to such toxicities. In each study, ETA models have been compared to those developed using various non-ETA models and it was found that the quality of the QSARs involving ETA parameters were comparable to those involving non-ETA parameters. ETA descriptors were also found to increase statistical quality of the models involving non-ETA parameters when used in combination. On the basis of the reported studies, it can be concluded that the ETA descriptors are sufficiently rich in chemical information to encode the structural features contributing to the toxicities and these indices may be used in combination with other topological and physicochemical descriptors for development of predictive QSAR models. Such models may be used for virtual screening and in silico prediction of toxicities, and if appropriately used, these may be proved helpful for regulatory decision support and decision making processes.

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Year:  2010        PMID: 20642426     DOI: 10.2174/138161210792389270

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  2 in total

1.  Chemometric modeling of larvicidal activity of plant derived compounds against zika virus vector Aedes aegypti: application of ETA indices.

Authors:  Priyanka De; Rahul B Aher; Kunal Roy
Journal:  RSC Adv       Date:  2018-01-25       Impact factor: 4.036

2.  Development of dual inhibitors against Alzheimer's disease using fragment-based QSAR and molecular docking.

Authors:  Manisha Goyal; Jaspreet Kaur Dhanjal; Sukriti Goyal; Chetna Tyagi; Rabia Hamid; Abhinav Grover
Journal:  Biomed Res Int       Date:  2014-06-12       Impact factor: 3.411

  2 in total

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