Literature DB >> 15123422

A description scheme of biological processes based on elementary bricks of action.

Pierre Mazière1, Claude Granier, Franck Molina.   

Abstract

With the fast growth of high-throughput strategies in Biology, there is a strong need to accelerate knowledge acquisition and organization of molecular functions. Unfortunately, although we know that there is a correlation between protein molecules and their functions, we are unable to clearly identify this link. Here, we revisit the current views of protein functions as well as their annotation, and we show that they are incompatible with unambiguous interpretations and the use of this knowledge. We describe herein a description scheme for biological processes based on elementary bricks of action that may be associated with biological molecules. To retrieve the descriptive quality found in annotations of other kinds of biological data, it was decided to develop a scheme involving four levels of abstraction: Basic Elements of Action, Biological Activities, Biological Functionalities and Biological Roles. This multi-level organization is a generic method; it allows for a description of biological processes by using a limited number of elementary bricks of action. Moreover, by using this description of biological processes, it should now be possible to clearly identify unambiguous relationships between the organization of biological processes and the structural or functional organizations of biological molecules.

Mesh:

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Year:  2004        PMID: 15123422     DOI: 10.1016/j.jmb.2004.03.029

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  6 in total

1.  Formal TCA cycle description based on elementary actions.

Authors:  Pierre Maziere; Nicolas Parisey; Marie Beurton-Aimar; Franck Molina
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

2.  Computing biological functions using BioPsi, a formal description of biological processes based on elementary bricks of actions.

Authors:  Sabine Pérès; Liza Felicori; Stéphanie Rialle; Elodie Jobard; Franck Molina
Journal:  Bioinformatics       Date:  2010-05-06       Impact factor: 6.937

3.  BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks.

Authors:  Stéphanie Rialle; Liza Felicori; Camila Dias-Lopes; Sabine Pérès; Sanaâ El Atia; Alain R Thierry; Patrick Amar; Franck Molina
Journal:  Bioinformatics       Date:  2010-07-13       Impact factor: 6.937

4.  Identification of the novel candidate genes and variants in boar liver tissues with divergent skatole levels using RNA deep sequencing.

Authors:  Asep Gunawan; Sudeep Sahadevan; Mehmet Ulas Cinar; Christiane Neuhoff; Christine Große-Brinkhaus; Luc Frieden; Dawit Tesfaye; Ernst Tholen; Christian Looft; Dessie Salilew Wondim; Michael Hölker; Karl Schellander; Muhammad Jasim Uddin
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

5.  Elementary flux modes analysis of functional domain networks allows a better metabolic pathway interpretation.

Authors:  Sabine Pérès; Liza Felicori; Franck Molina
Journal:  PLoS One       Date:  2013-10-29       Impact factor: 3.240

6.  Computer-aided biochemical programming of synthetic microreactors as diagnostic devices.

Authors:  Alexis Courbet; Patrick Amar; François Fages; Eric Renard; Franck Molina
Journal:  Mol Syst Biol       Date:  2018-04-26       Impact factor: 11.429

  6 in total

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