Literature DB >> 16909840

[Method SiteGA for the recognition of transcription factor binding sites].

V G Levitskiĭ, E V Ignat'eva, E A Anan'ko, T I Merkulova, N A Kolchanov, T C Hodgman.   

Abstract

A new approach, SiteGA, for the prediction of functional transcription factor binding sites has been developed. The approach is based on the detection of locally positioned dinucleotides by the genetic algorithm and discriminant analysis. The approach has been applied to recognize transcription factor binding sites involved in the regulation of immune responses and cell growth (AP-1, IRF1, ISGF3, NFkappaB, STAT1), obesity and lipid metabolism (HNF4, PPAR, SREBP), and the expression of steroidogenesis genes (SF-1). SiteGA is far superior in accuracy to the traditionally used method of position weight matrices. The approach was implemented in the web tool, SiteGA http://wwwmgs2. bionet.nsc.ru/mgs/programs/sitega.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16909840

Source DB:  PubMed          Journal:  Biofizika        ISSN: 0006-3029


  2 in total

1.  Bcrp1 transcription in mouse testis is controlled by a promoter upstream of a novel first exon (E1U) regulated by steroidogenic factor-1.

Authors:  Yi Xie; Karthika Natarajan; Kenneth S Bauer; Takeo Nakanishi; William T Beck; Rebecca S Moreci; Pancharatnam Jeyasuria; Arif Hussain; Douglas D Ross
Journal:  Biochim Biophys Acta       Date:  2013-11-02

2.  Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions.

Authors:  Victor G Levitsky; Elena V Ignatieva; Elena A Ananko; Igor I Turnaev; Tatyana I Merkulova; Nikolay A Kolchanov; T C Hodgman
Journal:  BMC Bioinformatics       Date:  2007-12-19       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.