Literature DB >> 16167834

Skin sensitization: reaction mechanistic applicability domains for structure-activity relationships.

Aynur O Aptula1, Grace Patlewicz, David W Roberts.   

Abstract

The prediction of skin sensitization potential with minimum animal testing is currently of great importance in light of forthcoming legislation. A number of structure-activity relationships for skin sensitization have been published over the years, but their applicability has often been limited to structural classes. The concept of an applicability domain for a quantitative structure-activity relationship [(Q)SAR] is increasingly being viewed as key for the predictive application of (Q)SARs. This is particularly the case for skin sensitization if more widely applicable SARs are to be developed. In this paper, we analyze a recently published chemical data set for skin sensitization, apply reaction mechanistic criteria to domain classification, and evaluate the structure-activity trends observed within each of these mechanistic domains.

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Year:  2005        PMID: 16167834     DOI: 10.1021/tx050075m

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


  7 in total

1.  Navigating through the minefield of read-across tools: A review of in silico tools for grouping.

Authors:  Patlewicz Grace; Helman George; Pradeep Prachi; Shah Imran
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2.  Heat Shock Protein 90's Mechanistic Role in Contact Hypersensitivity.

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Journal:  J Immunol       Date:  2022-06-08       Impact factor: 5.426

3.  Kinetics and Reaction Mechanism of Biothiols Involved in SNAr Reactions: An Experimental Study.

Authors:  Paola R Campodónico; Jazmín Alarcón-Espósito; Belén Olivares
Journal:  Front Chem       Date:  2022-06-08       Impact factor: 5.545

4.  Hierarchical Virtual Screening Based on Rocaglamide Derivatives to Discover New Potential Anti-Skin Cancer Agents.

Authors:  Igor V F Dos Santos; Rosivaldo S Borges; Guilherme M Silva; Lúcio R de Lima; Ruan S Bastos; Ryan S Ramos; Luciane B Silva; Carlos H T P da Silva; Cleydson B R Dos Santos
Journal:  Front Mol Biosci       Date:  2022-06-02

5.  Machine learning of chemical reactivity from databases of organic reactions.

Authors:  Gonçalo V S M Carrera; Sunil Gupta; João Aires-de-Sousa
Journal:  J Comput Aided Mol Des       Date:  2009-05-26       Impact factor: 3.686

Review 6.  Towards reproducible computational drug discovery.

Authors:  Nalini Schaduangrat; Samuel Lampa; Saw Simeon; Matthew Paul Gleeson; Ola Spjuth; Chanin Nantasenamat
Journal:  J Cheminform       Date:  2020-01-28       Impact factor: 5.514

7.  Prediction of skin sensitization with a particle swarm optimized support vector machine.

Authors:  Hua Yuan; Jianping Huang; Chenzhong Cao
Journal:  Int J Mol Sci       Date:  2009-07-17       Impact factor: 6.208

  7 in total

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