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Computer Research and Modeling, 2015, Volume 7, Issue 2, Pages 347–359
DOI: https://doi.org/10.20537/2076-7633-2015-7-2-347-359
(Mi crm192)
 

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

Detection of promoter and non-promoter $E.coli$ sequences by analysisof their electrostatic profiles

E. A. Temlyakova, A. A. Sorokin

Institute of Cell Biophysics, 3, Institutskaya st., Pushchino, 142290, Russia
References:
Abstract: The article is devoted to the idea of using physical properties of DNA instead of sequence along for the aspect of accurate search and annotation of various prokaryotic genomic regions. Particulary, the possibility to use electrostatic potential distribution around DNA sequence as a classifier for identification of a few functional DNA regions was demonstrated. A number of classification models was built providing discrimination of promoters and non-promoter regions (random sequences, coding regions and promoter-like sequences) with accuracy value about 83-85 %. The most valueable regions for the discrimination were determined and expected to play a certain role in the process of DNA-recognition by RNA-polymerase.
Keywords: PLS-DA, electrostatics of DNA, promoter location, PLS-DA, VIP-analysis.
Funding agency Grant number
Russian Foundation for Basic Research 14-04-31793-мол_а
14-44-03679-р_центр_а.
Received: 16.09.2013
Revised: 26.01.2015
Document Type: Article
UDC: 519.8
Language: Russian
Citation: E. A. Temlyakova, A. A. Sorokin, “Detection of promoter and non-promoter $E.coli$ sequences by analysisof their electrostatic profiles”, Computer Research and Modeling, 7:2 (2015), 347–359
Citation in format AMSBIB
\Bibitem{TemSor15}
\by E.~A.~Temlyakova, A.~A.~Sorokin
\paper Detection of promoter and non-promoter
$E.coli$ sequences by analysisof their electrostatic profiles
\jour Computer Research and Modeling
\yr 2015
\vol 7
\issue 2
\pages 347--359
\mathnet{http://mi.mathnet.ru/crm192}
\crossref{https://doi.org/10.20537/2076-7633-2015-7-2-347-359}
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