Literature DB >> 19288443

Thermodynamic analysis of biodegradation pathways.

Stacey D Finley1, Linda J Broadbelt, Vassily Hatzimanikatis.   

Abstract

Microorganisms provide a wealth of biodegradative potential in the reduction and elimination of xenobiotic compounds in the environment. One useful metric to evaluate potential biodegradation pathways is thermodynamic feasibility. However, experimental data for the thermodynamic properties of xenobiotics is scarce. The present work uses a group contribution method to study the thermodynamic properties of the University of Minnesota Biocatalysis/Biodegradation Database. The Gibbs free energies of formation and reaction are estimated for 914 compounds (81%) and 902 reactions (75%), respectively, in the database. The reactions are classified based on the minimum and maximum Gibbs free energy values, which accounts for uncertainty in the free energy estimates and a feasible concentration range relevant to biodegradation. Using the free energy estimates, the cumulative free energy change of 89 biodegradation pathways (51%) in the database could be estimated. A comparison of the likelihood of the biotransformation rules in the Pathway Prediction System and their thermodynamic feasibility was then carried out. This analysis revealed that when evaluating the feasibility of biodegradation pathways, it is important to consider the thermodynamic topology of the reactions in the context of the complete pathway. Group contribution is shown to be a viable tool for estimating, a priori, the thermodynamic feasibility and the relative likelihood of alternative biodegradation reactions. This work offers a useful tool to a broad range of researchers interested in estimating the feasibility of the reactions in existing or novel biodegradation pathways. 2009 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19288443      PMCID: PMC4073797          DOI: 10.1002/bit.22285

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  37 in total

1.  Knowledge-based expert systems for toxicity and metabolism prediction: DEREK, StAR and METEOR.

Authors:  N Greene; P N Judson; J J Langowski; C A Marchant
Journal:  SAR QSAR Environ Res       Date:  1999       Impact factor: 3.000

2.  Energetics of anaerobic degradation pathways of chlorinated aliphatic compounds.

Authors:  J Dolfing
Journal:  Microb Ecol       Date:  2000-07       Impact factor: 4.552

Review 3.  Accessing microbial diversity for bioremediation and environmental restoration.

Authors:  Debarati Paul; Gunjan Pandey; Janmejay Pandey; Rakesh K Jain
Journal:  Trends Biotechnol       Date:  2005-03       Impact factor: 19.536

4.  The role of formylmethanofuran: tetrahydromethanopterin formyltransferase in methanogenesis from carbon dioxide.

Authors:  M I Donnelly; R S Wolfe
Journal:  J Biol Chem       Date:  1986-12-15       Impact factor: 5.157

5.  Group contribution method for thermodynamic analysis of complex metabolic networks.

Authors:  Matthew D Jankowski; Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2008-08       Impact factor: 4.033

6.  Estimation of standard Gibbs energy changes of biotransformations.

Authors:  M L Mavrovouniotis
Journal:  J Biol Chem       Date:  1991-08-05       Impact factor: 5.157

7.  Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution.

Authors:  M L Mavrovouniotis
Journal:  Biotechnol Bioeng       Date:  1990-12-05       Impact factor: 4.530

8.  META. 1. A program for the evaluation of metabolic transformation of chemicals.

Authors:  G Klopman; M Dimayuga; J Talafous
Journal:  J Chem Inf Comput Sci       Date:  1994 Nov-Dec

Review 9.  Calculation of standard transformed formation properties of biochemical reactants and standard apparent reduction potentials of half reactions.

Authors:  R A Alberty
Journal:  Arch Biochem Biophys       Date:  1998-10-01       Impact factor: 4.013

10.  Degradation of chlorobenzenes at nanomolar concentrations by Burkholderia sp. strain PS14 in liquid cultures and in soil.

Authors:  P Rapp; K N Timmis
Journal:  Appl Environ Microbiol       Date:  1999-06       Impact factor: 4.792

View more
  17 in total

1.  Quantitative assignment of reaction directionality in a multicompartmental human metabolic reconstruction.

Authors:  H S Haraldsdóttir; I Thiele; R M T Fleming
Journal:  Biophys J       Date:  2012-04-18       Impact factor: 4.033

2.  IGERS: inferring Gibbs energy changes of biochemical reactions from reaction similarities.

Authors:  Kristian Rother; Sabrina Hoffmann; Sascha Bulik; Andreas Hoppe; Johann Gasteiger; Herrmann-Georg Holzhütter
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

3.  Quantitative assessment of thermodynamic constraints on the solution space of genome-scale metabolic models.

Authors:  Joshua J Hamilton; Vivek Dwivedi; Jennifer L Reed
Journal:  Biophys J       Date:  2013-07-16       Impact factor: 4.033

4.  Brønsted-Evans-Polanyi relationships for C-C bond forming and C-C bond breaking reactions in thiamine-catalyzed decarboxylation of 2-keto acids using density functional theory.

Authors:  Rajeev Surendran Assary; Linda J Broadbelt; Larry A Curtiss
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

5.  Integrated Framework for Identifying Toxic Transformation Products in Complex Environmental Mixtures.

Authors:  Leah Chibwe; Ivan A Titaley; Eunha Hoh; Staci L Massey Simonich
Journal:  Environ Sci Technol Lett       Date:  2017-01-04

6.  In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene.

Authors:  Stacey D Finley; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  BMC Syst Biol       Date:  2010-02-02

7.  Computational framework for predictive biodegradation.

Authors:  Stacey D Finley; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biotechnol Bioeng       Date:  2009-12-15       Impact factor: 4.530

8.  Computational evaluation of factors governing catalytic 2-keto acid decarboxylation.

Authors:  Di Wu; Dajun Yue; Fengqi You; Linda J Broadbelt
Journal:  J Mol Model       Date:  2014-06-10       Impact factor: 1.810

9.  Synthetic biology: mapping the scientific landscape.

Authors:  Paul Oldham; Stephen Hall; Geoff Burton
Journal:  PLoS One       Date:  2012-04-23       Impact factor: 3.240

Review 10.  Moving persistence assessments into the 21st century: A role for weight-of-evidence and overall persistence.

Authors:  Aaron D Redman; Jens Bietz; John W Davis; Delina Lyon; Erin Maloney; Amelie Ott; Jens C Otte; Frédéric Palais; John R Parsons; Neil Wang
Journal:  Integr Environ Assess Manag       Date:  2021-12-20       Impact factor: 3.084

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.