Literature DB >> 12767164

Microbial pathway prediction: a functional group approach.

Bo Kyeng Hou1, Lawrence P Wackett, Lynda B M Ellis.   

Abstract

We have developed a system to predict microbial catabolism, using the University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD, http://umbbd.ahc.umn.edu/) as a knowledge base. The present system, available on the Web (http://umbbd.ahc.umn.edu/predict/), can predict biodegradation of most of the major aliphatic and aromatic organic functional groups containing C, H, N, O, and halogens. It can duplicate at least one known biodegradation pathway for 60% of the compounds in a 84-member validation set; most pathways that did not completely duplicate known metabolism could plausibly occur in nature. Users are encouraged, and have begun, to submit additional biotransformation rules and comment on existing rules; the system will further develop under the direction of the scientific community.

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Year:  2003        PMID: 12767164     DOI: 10.1021/ci034018f

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


  20 in total

1.  Symbolic inference of xenobiotic metabolism.

Authors:  D C McShan; M Updadhayaya; I Shah
Journal:  Pac Symp Biocomput       Date:  2004

Review 2.  Computational tools for the synthetic design of biochemical pathways.

Authors:  Marnix H Medema; Renske van Raaphorst; Eriko Takano; Rainer Breitling
Journal:  Nat Rev Microbiol       Date:  2012-01-23       Impact factor: 60.633

3.  Establishing synthesis pathway-host compatibility via enzyme solubility.

Authors:  Sara A Amin; Venkatesh Endalur Gopinarayanan; Nikhil U Nair; Soha Hassoun
Journal:  Biotechnol Bioeng       Date:  2019-03-29       Impact factor: 4.530

4.  Prediction of metabolic reactions based on atomic and molecular properties of small-molecule compounds.

Authors:  Fangping Mu; Clifford J Unkefer; Pat J Unkefer; William S Hlavacek
Journal:  Bioinformatics       Date:  2011-04-08       Impact factor: 6.937

5.  Prediction of novel synthetic pathways for the production of desired chemicals.

Authors:  Ayoun Cho; Hongseok Yun; Jin Hwan Park; Sang Yup Lee; Sunwon Park
Journal:  BMC Syst Biol       Date:  2010-03-28

6.  Encoding microbial metabolic logic: predicting biodegradation.

Authors:  Bo Kyeng Hou; Lynda B M Ellis; Lawrence P Wackett
Journal:  J Ind Microbiol Biotechnol       Date:  2004-07-10       Impact factor: 3.346

7.  Thermodynamic analysis of biodegradation pathways.

Authors:  Stacey D Finley; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biotechnol Bioeng       Date:  2009-06-15       Impact factor: 4.530

Review 8.  Evolution of efficient pathways for degradation of anthropogenic chemicals.

Authors:  Shelley D Copley
Journal:  Nat Chem Biol       Date:  2009-08       Impact factor: 15.040

9.  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

10.  Automation of gene assignments to metabolic pathways using high-throughput expression data.

Authors:  Liviu Popescu; Golan Yona
Journal:  BMC Bioinformatics       Date:  2005-08-31       Impact factor: 3.169

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