Literature DB >> 9367126

Estimation of equilibrium constants using automated group contribution methods.

R G Forsythe1, P D Karp, M L Mavrovouniotis.   

Abstract

MOTIVATION: Group contribution methods are frequently used for estimating physical properties of compounds from their molecular structures. An algorithm for estimating Gibbs energies of formation through group contribution methods has been automated in an object-oriented framework. The algorithm decomposes compound structures according to a basis set of groups. It permits the use of wildcards and is able to distinguish between ring groups and chain groups that use similar search structures. Past methods relied on manual decomposition of compounds into constituent groups.
RESULTS: The software is written in Common LISP and requires < 2 min to estimate Gibbs energies of formation for a database of 780 species of varying size and complexity. The software allows rapid expansion to incorporate different basis sets and to estimate a variety of other physical properties.

Mesh:

Year:  1997        PMID: 9367126     DOI: 10.1093/bioinformatics/13.5.537

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  3 in total

1.  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

2.  How important is thermodynamics for identifying elementary flux modes?

Authors:  Sabine Peres; Mario Jolicœur; Cécile Moulin; Philippe Dague; Stefan Schuster
Journal:  PLoS One       Date:  2017-02-21       Impact factor: 3.240

3.  In silico and in vitro studies of the reduction of unsaturated α,β bonds of trans-2-hexenedioic acid and 6-amino-trans-2-hexenoic acid - Important steps towards biobased production of adipic acid.

Authors:  Emma Karlsson; Jae Ho Shin; Gunnar Westman; Leif A Eriksson; Lisbeth Olsson; Valeria Mapelli
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

  3 in total

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