Literature DB >> 9109039

Generating programs for predicting the activity of functional sites.

M P Ponomarenko1, A N Kolchanova, N A Kolchanov.   

Abstract

The computer system ACTIVITY is intended for generating programs with which to predict the activity of functional sites by nucleotide sequences. ACTIVITY analyzes a basis set of nucleotide sequences with known activity. The novelty of this approach is that Zadeh's fuzzy logic and decision-making theory have been employed for determining the best "sequence-->activity" regression. The best one thus determined is then transformed into the text of a program with which the activity for any nucleotide sequence is to be predicted. Testing with independent data has proved this prediction reliable. We have compared our approach with the two commonly used on identical data sets to find the ACTIVITY-generated programs quite competitive.

Mesh:

Year:  1997        PMID: 9109039     DOI: 10.1089/cmb.1997.4.83

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


  3 in total

1.  The abundance of microRNA in Arabidopsis thaliana correlates with the presence of tetranucleotides WRHW and DRYD in their sequences.

Authors:  M P Ponomarenko; N A Omel'yanchuk; A V Katokhin; S A Savinskaya; N A Kolchanov
Journal:  Dokl Biochem Biophys       Date:  2008 May-Jun       Impact factor: 0.788

2.  Thermodynamic and kinetic basis for recognition and repair of 8-oxoguanine in DNA by human 8-oxoguanine-DNA glycosylase.

Authors:  Oleg O Kirpota; Anton V Endutkin; Michail P Ponomarenko; Petr M Ponomarenko; Dmitry O Zharkov; Georgy A Nevinsky
Journal:  Nucleic Acids Res       Date:  2011-02-22       Impact factor: 16.971

3.  Abundances of microRNAs in human cells can be estimated as a function of the abundances of YRHB and RHHK tetranucleotides in these microRNAs as an ill-posed inverse problem solution.

Authors:  Mikhail P Ponomarenko; Valentin V Suslov; Petr M Ponomarenko; Konstantin V Gunbin; Irina L Stepanenko; Oleg V Vishnevsky; Nikolay A Kolchanov
Journal:  Front Genet       Date:  2013-07-01       Impact factor: 4.599

  3 in total

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