Literature DB >> 8144710

Structure-activity relationships for skin sensitization potential: development of structural alerts for use in knowledge-based toxicity prediction systems.

M P Payne1, P T Walsh.   

Abstract

The development of qualitative structure-activity relationships for the prediction of skin sensitization potential, based on structural alerts (substructures associated with a toxicological mechanism), and suitable for incorporation as rules into a knowledge-based system is described. The structure dependence of the skin sensitization mechanism may be largely defined in terms of the presence or metabolic/nonmetabolic formation of protein reactive functional groups on the test compound and by the physicochemical requirements of significant skin penetration. The proposed structural alerts were tested on a data set of diverse chemicals. The results showed that the alerts have potential as preliminary indicators of skin sensitization potential for a wide range of low molecular weight chemicals.

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Year:  1994        PMID: 8144710     DOI: 10.1021/ci00017a019

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  7 in total

1.  An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential.

Authors:  J M Fitzpatrick; D W Roberts; G Patlewicz
Journal:  SAR QSAR Environ Res       Date:  2018-04-20       Impact factor: 3.000

2.  Prioritizing testing of organic compounds detected as gas phase air pollutants: structure-activity study for human contact allergens.

Authors:  R Johnson; O T Macina; C Graham; H S Rosenkranz; G R Cass; M H Karol
Journal:  Environ Health Perspect       Date:  1997-09       Impact factor: 9.031

3.  Reactivity measurement in estimation of benzoquinone and benzoquinone derivatives' allergenicity.

Authors:  Wilbes Mbiya; Itai Chipinda; Reuben H Simoyi; Paul D Siegel
Journal:  Toxicology       Date:  2015-12-02       Impact factor: 4.221

4.  ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactions.

Authors:  Iurii Sushko; Elena Salmina; Vladimir A Potemkin; Gennadiy Poda; Igor V Tetko
Journal:  J Chem Inf Model       Date:  2012-08-10       Impact factor: 4.956

5.  Modeling skin sensitization potential of mechanistically hard-to-be-classified aniline and phenol compounds with quantum mechanistic properties.

Authors:  Qin Ouyang; Lirong Wang; Ying Mu; Xiang-Qun Xie
Journal:  BMC Pharmacol Toxicol       Date:  2014-12-24       Impact factor: 2.483

6.  Identification of Potential Inhibitors from Pyriproxyfen with Insecticidal Activity by Virtual Screening.

Authors:  Ryan da Silva Ramos; Josivan da Silva Costa; Rai Campos Silva; Glauber Vilhena da Costa; Alex Bruno Lobato Rodrigues; Érica de Menezes Rabelo; Raimundo Nonato Picanço Souto; Carlton Anthony Taft; Carlos Henrique Tomich de Paula da Silva; Joaquín Maria Campos Rosa; Cleydson Breno Rodrigues Dos Santos; Williams Jorge da Cruz Macêdo
Journal:  Pharmaceuticals (Basel)       Date:  2019-01-25

7.  MGraphDTA: deep multiscale graph neural network for explainable drug-target binding affinity prediction.

Authors:  Ziduo Yang; Weihe Zhong; Lu Zhao; Calvin Yu-Chian Chen
Journal:  Chem Sci       Date:  2022-01-05       Impact factor: 9.825

  7 in total

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