Literature DB >> 2811400

A transformational-grammar approach to the study of the regulation of gene expression.

J Collado-Vides1.   

Abstract

An important problem in biology is the lack of a set of common principles unifying biological knowledge. We propose generative grammar for constructing an integrative paradigm for the understanding of genome organization and the regulation of gene expression. Linguistic terms in molecular biology are defined. A genetic syntactic structure is defined as being equivalent to a sentence. The hypotheses for the grammar of genome structure are: (i) the "grammaticality" of the linguistic approach studies the "regulability" of genome structures; (ii) the "regulability" of genetic structures is independent from their specific biochemical meaning and (iii) the dynamics of regulation is implicit in the genome structure. A general structure is presented for the grammar; the application of phase-structure rules is justified by the existence of lexical categories. Transformational rules are utilized to represent loops of regulation. Negative inducible, positive repressible, positive inducible and negative repressible alternative mechanisms of regulation are represented, by four transformational rules, and the application of these rules is established by two principles. Finally, this approach is compared to other linguistic applications in molecular biology.

Mesh:

Year:  1989        PMID: 2811400     DOI: 10.1016/s0022-5193(89)80156-0

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Data Compression Concepts and Algorithms and their Applications to Bioinformatics.

Authors:  O U Nalbantog̃lu; D J Russell; K Sayood
Journal:  Entropy (Basel)       Date:  2010-01-01       Impact factor: 2.524

2.  Optimal control of gene mutation in DNA replication.

Authors:  Juanyi Yu; Jr-Shin Li; Tzyh-Jong Tarn
Journal:  J Biomed Biotechnol       Date:  2012-01-22

3.  A formal language-based approach in biology.

Authors:  Marian Gheorghe; Victor Mitrana
Journal:  Comp Funct Genomics       Date:  2004
  3 in total

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