Literature DB >> 11695620

META V. A model of photodegradation for the prediction of photoproducts of chemicals under natural-like conditions.

A Sedykh1, R Saiakhov, G Klopman.   

Abstract

Our goal was to create a photodegradation model based on the META expert system [G. Klopman, M. Dimayuga, J. Talafous, J. Chem. Inf. Comput. Sci. 34 (1994a) 1320-1325]. This requires the development of a dictionary of photodegradation pathways. Equipped with such a dictionary, we found that META successfully predicts degradation pathways of organic compounds under UV light. Our model was tested on a wide range of industrial compounds for which literature data exists. The results were excellent as the hit/miss ratio was better than 92%. This work complements our previous elaboration of equivalent mammal metabolism, aerobic and anaerobic biodegradation models.

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Year:  2001        PMID: 11695620     DOI: 10.1016/s0045-6535(01)00007-8

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  4 in total

1.  Prediction of Hydrolysis Products of Organic Chemicals under Environmental pH Conditions.

Authors:  Caroline Tebes-Stevens; Jay M Patel; W Jack Jones; Eric J Weber
Journal:  Environ Sci Technol       Date:  2017-04-21       Impact factor: 9.028

2.  Reaction Library to Predict Direct Photochemical Transformation Products of Environmental Organic Contaminants in Sunlit Aquatic Systems.

Authors:  Chenyi Yuan; Caroline Tebes-Stevens; Eric J Weber
Journal:  Environ Sci Technol       Date:  2020-05-26       Impact factor: 9.028

3.  MultiCASE Platform for In Silico Toxicology.

Authors:  Suman K Chakravarti; Roustem D Saiakhov
Journal:  Methods Mol Biol       Date:  2022

4.  Combining In Silico Tools with Multicriteria Analysis for Alternatives Assessment of Hazardous Chemicals: Accounting for the Transformation Products of decaBDE and Its Alternatives.

Authors:  Ziye Zheng; Hans Peter H Arp; Gregory Peters; Patrik L Andersson
Journal:  Environ Sci Technol       Date:  2020-12-31       Impact factor: 9.028

  4 in total

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