Literature DB >> 23034580

A primer in macromolecular linguistics.

David B Searls1.   

Abstract

Polymeric macromolecules, when viewed abstractly as strings of symbols, can be treated in terms of formal language theory, providing a mathematical foundation for characterizing such strings both as collections and in terms of their individual structures. In addition this approach offers a framework for analysis of macromolecules by tools and conventions widely used in computational linguistics. This article introduces the ways that linguistics can be and has been applied to molecular biology, covering the relevant formal language theory at a relatively nontechnical level. Analogies between macromolecules and human natural language are used to provide intuitive insights into the relevance of grammars, parsing, and analysis of language complexity to biology.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23034580     DOI: 10.1002/bip.22101

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  5 in total

1.  Quantiprot - a Python package for quantitative analysis of protein sequences.

Authors:  Bogumił M Konopka; Marta Marciniak; Witold Dyrka
Journal:  BMC Bioinformatics       Date:  2017-07-17       Impact factor: 3.169

2.  Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of disease.

Authors:  Randall L Barbour; Harry L Graber; San-Lian S Barbour
Journal:  PLoS One       Date:  2018-06-08       Impact factor: 3.240

3.  How Chemistry Computes: Language Recognition by Non-Biochemical Chemical Automata. From Finite Automata to Turing Machines.

Authors:  Marta Dueñas-Díez; Juan Pérez-Mercader
Journal:  iScience       Date:  2019-08-07

4.  A Thermodynamic Atlas of Proteomes Reveals Energetic Innovation across the Tree of Life.

Authors:  Alexander F Chin; James O Wrabl; Vincent J Hilser
Journal:  Mol Biol Evol       Date:  2022-03-02       Impact factor: 16.240

5.  A vocabulary of ancient peptides at the origin of folded proteins.

Authors:  Vikram Alva; Johannes Söding; Andrei N Lupas
Journal:  Elife       Date:  2015-12-14       Impact factor: 8.140

  5 in total

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