Literature DB >> 11125114

ACTIVITY: a database on DNA/RNA sites activity adapted to apply sequence-activity relationships from one system to another.

J V Ponomarenko1, D P Furman, A S Frolov, N L Podkolodny, G V Orlova, M P Ponomarenko, N A Kolchanov, A Sarai.   

Abstract

ACTIVITY is a database on DNA/RNA site sequences with known activity magnitudes, measurement systems, sequence-activity relationships under fixed experimental conditions and procedures to adapt these relationships from one measurement system to another. This database deposits information on DNA/RNA affinities to proteins and cell nuclear extracts, cutting efficiencies, gene transcription activity, mRNA translation efficiencies, mutability and other biological activities of natural sites occurring within promoters, mRNA leaders, and other regulatory regions in pro- and eukaryotic genomes, their mutant forms and synthetic analogues. Since activity magnitudes are heavily system-dependent, the current version of ACTIVITY is supplemented by three novel sub-databases: (i) SYSTEM, measurement systems; (ii) KNOWLEDGE, sequence-activity relationships under fixed experimental conditions; and (iii) CROSS_TEST, procedures adapting a relationship from one measurement system to another. These databases are useful in molecular biology, pharmacogenetics, metabolic engineering, drug design and biotechnology. The databases can be queried using SRS and are available through the Web, http://wwwmgs. bionet.nsc.ru/systems/Activity/.

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Year:  2001        PMID: 11125114      PMCID: PMC29829          DOI: 10.1093/nar/29.1.284

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  28 in total

1.  Transcription regulatory regions database (TRRD): its status in 2000.

Authors:  N A Kolchanov; O A Podkolodnaya; E A Ananko; E V Ignatieva; I L Stepanenko; O V Kel-Margoulis; A E Kel; T I Merkulova; T N Goryachkovskaya; T V Busygina; F A Kolpakov; N L Podkolodny; A N Naumochkin; I M Korostishevskaya; A G Romashchenko; G C Overton
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  TRANSFAC: an integrated system for gene expression regulation.

Authors:  E Wingender; X Chen; R Hehl; H Karas; I Liebich; V Matys; T Meinhardt; M Prüss; I Reuter; F Schacherer
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  Identification of sequence-dependent DNA features correlating to activity of DNA sites interacting with proteins.

Authors:  M P Ponomarenko; J V Ponomarenko; A S Frolov; N L Podkolodny; L K Savinkova; N A Kolchanov; G C Overton
Journal:  Bioinformatics       Date:  1999 Jul-Aug       Impact factor: 6.937

4.  Experimental analysis and computer prediction of CTF/NFI transcription factor DNA binding sites.

Authors:  E Roulet; P Bucher; R Schneider; E Wingender; Y Dusserre; T Werner; N Mermod
Journal:  J Mol Biol       Date:  2000-04-07       Impact factor: 5.469

5.  Evaluation of computer tools for the prediction of transcription factor binding sites on genomic DNA.

Authors:  E Roulet; I Fisch; T Junier; P Bucher; N Mermod
Journal:  In Silico Biol       Date:  1998

6.  Quantitative analysis of the relationship between nucleotide sequence and functional activity.

Authors:  G D Stormo; T D Schneider; L Gold
Journal:  Nucleic Acids Res       Date:  1986-08-26       Impact factor: 16.971

7.  Selection of DNA binding sites by regulatory proteins. Statistical-mechanical theory and application to operators and promoters.

Authors:  O G Berg; P H von Hippel
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

8.  Point mutations within 663-666 bp of intron 6 of the human TDO2 gene, associated with a number of psychiatric disorders, damage the YY-1 transcription factor binding site.

Authors:  G V Vasiliev; V M Merkulov; V F Kobzev; T I Merkulova; M P Ponomarenko; N A Kolchanov
Journal:  FEBS Lett       Date:  1999-11-26       Impact factor: 4.124

9.  Escherichia coli promoter sequences predict in vitro RNA polymerase selectivity.

Authors:  M E Mulligan; D K Hawley; R Entriken; W R McClure
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

Review 10.  Pharmacogenetics and the practice of medicine.

Authors:  A D Roses
Journal:  Nature       Date:  2000-06-15       Impact factor: 49.962

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  10 in total

1.  rSNP_Guide, a database system for analysis of transcription factor binding to target sequences: application to SNPs and site-directed mutations.

Authors:  J V Ponomarenko; T I Merkulova; G V Vasiliev; Z B Levashova; G V Orlova; S V Lavryushev; O N Fokin; M P Ponomarenko; A S Frolov; A Sarai
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  SELEX_DB: a database on in vitro selected oligomers adapted for recognizing natural sites and for analyzing both SNPs and site-directed mutagenesis data.

Authors:  Julia V Ponomarenko; Galina V Orlova; Anatoly S Frolov; Mikhail S Gelfand; Mikhail P Ponomarenko
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.

Authors:  Irina V Chadaeva; Mikhail P Ponomarenko; Dmitry A Rasskazov; Ekaterina B Sharypova; Elena V Kashina; Marina Yu Matveeva; Tatjana V Arshinova; Petr M Ponomarenko; Olga V Arkova; Natalia P Bondar; Ludmila K Savinkova; Nikolay A Kolchanov
Journal:  BMC Genomics       Date:  2016-12-28       Impact factor: 3.969

4.  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

5.  How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter.

Authors:  Mikhail Ponomarenko; Dmitry Rasskazov; Olga Arkova; Petr Ponomarenko; Valentin Suslov; Ludmila Savinkova; Nikolay Kolchanov
Journal:  Biomed Res Int       Date:  2015-10-04       Impact factor: 3.411

6.  Obesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters.

Authors:  Olga V Arkova; Mikhail P Ponomarenko; Dmitry A Rasskazov; Irina A Drachkova; Tatjana V Arshinova; Petr M Ponomarenko; Ludmila K Savinkova; Nikolay A Kolchanov
Journal:  BMC Genomics       Date:  2015-12-16       Impact factor: 3.969

7.  Candidate SNP Markers of Chronopathologies Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters.

Authors:  Petr Ponomarenko; Dmitry Rasskazov; Valentin Suslov; Ekaterina Sharypova; Ludmila Savinkova; Olga Podkolodnaya; Nikolay L Podkolodny; Natalya N Tverdokhleb; Irina Chadaeva; Mikhail Ponomarenko; Nikolay Kolchanov
Journal:  Biomed Res Int       Date:  2016-08-22       Impact factor: 3.411

8.  Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.

Authors:  Irina V Chadaeva; Petr M Ponomarenko; Dmitry A Rasskazov; Ekaterina B Sharypova; Elena V Kashina; Dmitry A Zhechev; Irina A Drachkova; Olga V Arkova; Ludmila K Savinkova; Mikhail P Ponomarenko; Nikolay A Kolchanov; Ludmila V Osadchuk; Alexandr V Osadchuk
Journal:  BMC Genomics       Date:  2018-02-09       Impact factor: 3.969

9.  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

10.  Candidate SNP Markers of Gender-Biased Autoimmune Complications of Monogenic Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters.

Authors:  Mikhail P Ponomarenko; Olga Arkova; Dmitry Rasskazov; Petr Ponomarenko; Ludmila Savinkova; Nikolay Kolchanov
Journal:  Front Immunol       Date:  2016-04-04       Impact factor: 7.561

  10 in total

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