Literature DB >> 20199798

Development of a biodegradation model for the prediction of metabolites in soil.

S Dimitrov1, D Nedelcheva, N Dimitrova, O Mekenyan.   

Abstract

The awareness of air, soil and water pollution has driven the search for better methods for the assessment of the environmental fate of industrial chemicals. This paper is focused on the simulation of formation and transformation of metabolites in soil. The key challenges in the development of a simulator for predicting metabolic fate of chemicals in soil are the complexity of the soil compartment and incompleteness of metabolic information. Based on the collected data for metabolic fate of 183 chemicals a set of soil specific transformations were defined and used to develop a simulator for metabolism in soil. The analysis of outliers showed that the low predictability for some chemicals is due to: 1) incomplete documented metabolic pathways with missing intermediates and/or 2) reactions of condensation that are not simulated in the current version of the model. Hence, further improvement of the model requires expanding the metabolism database and further refinement of the logic of metabolic transformations used in the simulator. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20199798     DOI: 10.1016/j.scitotenv.2010.02.008

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  The University of Minnesota Pathway Prediction System: multi-level prediction and visualization.

Authors:  Junfeng Gao; Lynda B M Ellis; Lawrence P Wackett
Journal:  Nucleic Acids Res       Date:  2011-04-12       Impact factor: 16.971

  1 in total

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