Literature DB >> 10890400

Translation conditional models for protein coding sequences.

F Rodolphe1, C Mathé.   

Abstract

A coding sequence is defined as a DNA sequence coding the primary structure of a protein (a polypeptide). Such a sequence must satisfy a specific constraint, which consists in coding a functional protein. As the genetic code is degenerated, there exists, for a given polypeptide, a set of synonymous sequences which would code the same polypeptide. Translation conditional models are being defined on such sets. The aim of this paper is to give a common formalism. Besides the codon bias model, a few other conditional models will be defined. Statistical estimators and comparison methods will be briefly presented. These models can be used for gene classification, or to find out, in a real sequence, remarkable features. An example will be presented on Escherichia coli genes.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10890400     DOI: 10.1089/10665270050081504

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  2 in total

1.  Determination of mutation trend in proteins by means of translation probability between RNA codes and mutated amino acids.

Authors:  Guang Wu; Shaomin Yan
Journal:  Biochem Biophys Res Commun       Date:  2005-09-26       Impact factor: 3.575

2.  Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models.

Authors:  Shaun Mahony; James O McInerney; Terry J Smith; Aaron Golden
Journal:  BMC Bioinformatics       Date:  2004-03-05       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.