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Dive into the research topics where Nikolay A. Kolchanov is active.

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Featured researches published by Nikolay A. Kolchanov.


Nucleic Acids Research | 1998

Databases on transcriptional regulation: TRANSFAC, TRRD and COMPEL

T. Heinemeyer; Edgar Wingender; I. Reuter; H. Hermjakob; Alexander E. Kel; O. V. Kel; E. V. Ignatieva; Elena A. Ananko; O. A. Podkolodnaya; Fedor A. Kolpakov; Nikolay L. Podkolodny; Nikolay A. Kolchanov

TRANSFAC, TRRD (Transcription Regulatory Region Database) and COMPEL are databases which store information about transcriptional regulation in eukaryotic cells. The three databases provide distinct views on the components involved in transcription: transcription factors and their binding sites and binding profiles (TRANSFAC), the regulatory hierarchy of whole genes (TRRD), and the structural and functional properties of composite elements (COMPEL). The quantitative and qualitative changes of all three databases and connected programs are described. The databases are accessible via WWW:http://transfac.gbf.de/TRANSFAC orhttp://www.bionet.nsc.ru/TRRD


Nucleic Acids Research | 1997

TRANSFAC, TRRD and COMPEL: towards a federated database system on transcriptional regulation

Edgar Wingender; Alexander E. Kel; O. V. Kel; Holger Karas; T. Heinemeyer; P. Dietze; R. Knüppel; A. G. Romaschenko; Nikolay A. Kolchanov

Three databases that provide data on transcriptional regulation are described. TRANSFAC is a database on transcription factors and their DNA binding sites. TRRD (Transcription Regulatory Region Database) collects information about complete regulatory regions, their regulation properties and architecture. COMPEL comprises specific information on composite regulatory elements. Here, we describe the present status of these databases and the first steps towards their federation.


Archive | 2008

Biosphere Origin and Evolution

Nikolay Dobretsov; Nikolay A. Kolchanov; A. S. Rozanov; Georgy Zavarzin.

Problems of Biosphere Evolution and Origin of Life.- On Important Stages of Geosphere and Biosphere Evolution.- Microbial Biosphere.- Prebiological Stages of Evolution and RNA World on the Earth and in the Space.- Astrocatalysis Hypothesis for Origin of Life Problem.- Comets, Carbonaceous Meteorites, and the Origin of the Biosphere.- Hierarchical Scale-Free Representation of Biological Realm-Its Origin and Evolution.- The Prebiotic Phase of the Origin of Life as Seen by a Physical Chemist.- Prebiotic Carbohydrates and Their Derivates.- Theoretical and Computer Modeling of Evolution of Autocatalytic Systems in a Flow Reactor.- RNA World: First Steps Towards Functional Molecules.- Trans Hammerhead Ribozyme: Ligation vs. Cleavage.- Paradoxical Bistate Status of a Prebiotic Microsystem: Universal Predecessor of Life.- Archaen-Proterozoic Ecosystems: Their Interaction and Contemporary Analogous.- The Ancient Anoxic Biosphere Was Not As We Know It.- Evolutionary Aspects of Geochemical Activity of Microbial Mats in Lakes and Hydrotherms of Baikal Rift Zone.- On the concept for the Organization of the Modern Biosphere in the Terrestrial Subsurface.- Biomineralization and Evolution. Coevolution of Mineral and Biological Worlds.- Visualization of the Silicon Biomineralization in Cyanobacteria, Sponges and Diatoms.- Transformational Changes in Argillaceous Minerals due to Cyanobacteria.- Coevolution of Geological and Biological Events in Phanerozoe.- Ecological Revolution Through Ordovician Biosphere (495 to 435 Ma ages): Start of the Coherent Life Evolution.- Ecosystems and Molecular Genetic Factors of Organism Evolution.- Evolution by Gene Duplications: from the Origin of the Genetic Code to the Human Genome.- Evolution of the Translation Termination System in Eukaryotes.- The Hedgehog Signaling Cascade System: Evolution and Functional Dynamics.- Approaches to the Resolution of Contradictions Between Phylogenetic Systems Based on Paleontological and Molecular Data.- Chromosomes and Speciation.- Biotic Turnover in Superorganism Systems: Several Principles of Establishment and Sustenance (Theoretical Analysis, Debatable Issues).- Chromosomes and Continents.- Biosphere and Human Being.- Genetic Landscape of the Central Asia and Volga-Ural Region.- Problems of Reconstruction of Paleoenvironment and Conditions of the Habitability of the Ancient Man by the Example of Northwestern Altai.- The Settling of the Ancient Man by the Example of North-Western Altai.- Evolutionary History of Wheats-the Main Cereal of Mankind.


FEBS Letters | 2008

uORFs, reinitiation and alternative translation start sites in human mRNAs

Alex V. Kochetov; Shandar Ahmad; Vladimir A. Ivanisenko; Oxana A. Volkova; Nikolay A. Kolchanov; Akinori Sarai

It is known that eukaryotic ribosomes are able to translate small ORFs and reinitiate translation at downstream start codons. However, this mechanism is widely considered to be inefficient and it is not commonly taken into account. We compiled a sample of human mRNAs containing small upstream ORFs overlapping with annotated protein coding sequences. Statistical analysis supported the hypothesis on reinitiation of translation at downstream AUG codons and functional significance of potential alternative ORFs. It may be assumed that some 5′UTR‐located upstream ORFs can deliver ribosomes to alternative translation starts, and they should be taken into consideration in the prediction of human mRNA coding potential.


BMC Bioinformatics | 2007

AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site

Alexey V. Kochetov; Andrey Palyanov; Igor I. Titov; D. A. Grigorovich; Akinori Sarai; Nikolay A. Kolchanov

BackgroundThe translation start site plays an important role in the control of translation efficiency of eukaryotic mRNAs. The recognition of the start AUG codon by eukaryotic ribosomes is considered to depend on its nucleotide context. However, the fraction of eukaryotic mRNAs with the start codon in a suboptimal context is relatively large. It may be expected that mRNA should possess some features providing efficient translation, including the proper recognition of a translation start site. It has been experimentally shown that a downstream hairpin located in certain positions with respect to start codon can compensate in part for the suboptimal AUG context and also increases translation from non-AUG initiation codons. Prediction of such a compensatory hairpin may be useful in the evaluation of eukaryotic mRNA translation properties.ResultsWe evaluated interdependency between the start codon context and mRNA secondary structure at the CDS beginning: it was found that a suboptimal start codon context significantly correlated with higher base pairing probabilities at positions 13 – 17 of CDS of human and mouse mRNAs. It is likely that the downstream hairpins are used to enhance translation of some mammalian mRNAs in vivo. Thus, we have developed a tool, AUG_hairpin, to predict local stem-loop structures located within the defined region at the beginning of mRNA coding part. The implemented algorithm is based on the available published experimental data on the CDS-located stem-loop structures influencing the recognition of upstream start codons.ConclusionAn occurrence of a potential secondary structure downstream of start AUG codon in a suboptimal context (or downstream of a potential non-AUG start codon) may provide researchers with a testable assumption on the presence of additional regulatory signal influencing mRNA translation initiation rate and the start codon choice. AUG_hairpin, which has a convenient Web-interface with adjustable parameters, will make such an evaluation easy and efficient.


BMC Bioinformatics | 2007

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

Victor G. Levitsky; Elena V. Ignatieva; Elena A. Ananko; Igor I Turnaev; Tatyana I. Merkulova; Nikolay A. Kolchanov; Tc Hodgman

BackgroundReliable transcription factor binding site (TFBS) prediction methods are essential for computer annotation of large amount of genome sequence data. However, current methods to predict TFBSs are hampered by the high false-positive rates that occur when only sequence conservation at the core binding-sites is considered.ResultsTo improve this situation, we have quantified the performance of several Position Weight Matrix (PWM) algorithms, using exhaustive approaches to find their optimal length and position. We applied these approaches to bio-medically important TFBSs involved in the regulation of cell growth and proliferation as well as in inflammatory, immune, and antiviral responses (NF-κB, ISGF3, IRF1, STAT1), obesity and lipid metabolism (PPAR, SREBP, HNF4), regulation of the steroidogenic (SF-1) and cell cycle (E2F) genes expression. We have also gained extra specificity using a method, entitled SiteGA, which takes into account structural interactions within TFBS core and flanking regions, using a genetic algorithm (GA) with a discriminant function of locally positioned dinucleotide (LPD) frequencies.To ensure a higher confidence in our approach, we applied resampling-jackknife and bootstrap tests for the comparison, it appears that, optimized PWM and SiteGA have shown similar recognition performances. Then we applied SiteGA and optimized PWMs (both separately and together) to sequences in the Eukaryotic Promoter Database (EPD). The resulting SiteGA recognition models can now be used to search sequences for BSs using the web tool, SiteGA.Analysis of dependencies between close and distant LPDs revealed by SiteGA models has shown that the most significant correlations are between close LPDs, and are generally located in the core (footprint) region. A greater number of less significant correlations are mainly between distant LPDs, which spanned both core and flanking regions. When SiteGA and optimized PWM models were applied together, this substantially reduced false positives at least at higher stringencies.ConclusionBased on this analysis, SiteGA adds substantial specificity even to optimized PWMs and may be considered for large-scale genome analysis. It adds to the range of techniques available for TFBS prediction, and EPD analysis has led to a list of genes which appear to be regulated by the above TFs.


BMC Genomics | 2014

Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing technology and application.

Guoliang Li; Liuyang Cai; Huidan Chang; Ping Hong; Qiangwei Zhou; Ekaterina V Kulakova; Nikolay A. Kolchanov; Yijun Ruan

BackgroundLong-range chromatin interactions play an important role in transcription regulation. Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET) is an emerging technology that has unique advantages in chromatin interaction analysis, and thus provides insight into the study of transcription regulation.ResultsThis article introduces the experimental protocol and data analysis process of ChIA-PET, as well as discusses some applications using this technology. It also unveils the direction of future studies based on this technology.ConclusionsOverall we show that ChIA-PET is the cornerstone to explore the three-dimensional (3D) chromatin structure, and certainly will lead the forthcoming wave of 3D genomics studies.


Bioinformatics | 2001

Detection of conserved physico-chemical characteristics of proteins by analyzing clusters of positions with co-ordinated substitutions

D. A. Afonnikov; D. Yu. Oshchepkov; Nikolay A. Kolchanov

MOTIVATIONnIt is known that the physico-chemical characteristics of proteins underlying specific folding of the polypeptide chain and the protein function are evolutionary conserved. Detection of such characteristics while analyzing homologous sequences would expand essentially the knowledge on protein function, structure, and evolution. These characteristics are maintained constant, in particular, by co-ordinated substitutions. In this process, the destabilizing effect of a substitution may be compensated by another substitution at a different position within the same protein, making the overall change in this protein characteristic insignificant. Consequently, the patterns of co-ordinated substitutions contain important information on conserved physico-chemical properties of proteins, requiring their investigation and development of the corresponding methods and software for correlation analysis of protein sequences available to a wide range of users.nnnRESULTSnA software package for analyzing correlated amino acid substitutions at different positions within aligned protein sequences was developed. The approach implies searching for evolutionary conserved physico-chemical characteristics of proteins based on the information on the pairwise correlations of amino acid substitutions at different protein positions. The software was applied to analyze DNA-binding domains of the homeodomain class. As a result, two conservative physico-chemical characteristics preserved due to the co-ordinated substitutions at certain groups of positions in the protein sequence. Possible functional roles of these characteristics are discussed.nnnAVAILABILITYnThe program package is available at http://wwwmgs.bionet.nsc.ru/programs/CRASP/.


BMC Genomics | 2014

Molecular analysis of the benthos microbial community in Zavarzin thermal spring (Uzon Caldera, Kamchatka, Russia)

A. S. Rozanov; Alla V. Bryanskaya; Tatiana K. Malup; Irina Meshcheryakova; Elena V. Lazareva; Oksana P Taran; Timofey V. Ivanisenko; Vladimir A. Ivanisenko; Sergey M Zhmodik; Nikolay A. Kolchanov; Sergey E. Peltek

BackgroundGeothermal areas are of great interest for the study of microbial communities. The results of such investigations can be used in a variety of fields (ecology, microbiology, medicine) to answer fundamental questions, as well as those with practical benefits. Uzon caldera is located in the Uzon-Geyser depression that is situated in the centre of the Karym-Semyachin region of the East Kamchatka graben-synclinorium. The microbial communities of Zavarzin spring are well studied; however, its benthic microbial mat has not been previously described.ResultsPyrosequencing of the V3 region of the 16S rRNA gene was used to study the benthic microbial community of the Zavarzin thermal spring (Uzon Caldera, Kamchatka). The community is dominated by bacteria (>95% of all sequences), including thermophilic, chemoorganotrophic Caldiserica (33.0%) and Dictyoglomi (24.8%). The benthic community and the previously examined planktonic community of Zavarzin spring have qualitatively similar, but quantitatively different, compositions.ConclusionsIn this study, we performed a metagenomic analysis of the benthic microbial mat of Zavarzin spring. We compared this benthic community to microbial communities found in the water and of an integral probe consisting of water and bottom sediments. Various phylogenetic groups of microorganisms, including potentially new ones, represent the full-fledged trophic system of Zavarzin. A thorough geochemical study of the spring was performed.


Nucleic Acids Research | 2004

NPRD: Nucleosome Positioning Region Database

Victor G. Levitsky; Aleksey V. Katokhin; Olga A. Podkolodnaya; Dagmara P. Furman; Nikolay A. Kolchanov

Nucleosome Positioning Region Database (NPRD), which is compiling the available experimental data on locations and characteristics of nucleosome formation sites (NFSs), is the first curated NFS-oriented database. The object of the database is a single NFS described in an individual entry. When annotating results of NFS experimental mapping, we pay special attention to several important functional characteristics, such as the relationship between type of gene activity and nucleosome positioning, the influence of non-histone proteins on nucleosome formation, type of the variant of nucleosome positioning (translational or rotational), indication of tissue types and states of cell activity, description of experimental methods used and accuracy of nucleosome position determination, and the results of applying theoretical and computer methods to the analysis of contextual and conformational DNA properties. At present, the NPRD database contains 438 entries and integrates the data described in 124 original papers. The database URL: http://srs6.bionet.nsc.ru/srs6/. Then click the button ‘Databank’ and open the link NUCLEOSOME.

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Elena A. Ananko

Russian Academy of Sciences

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Sergey A. Lashin

Novosibirsk State University

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Yury G. Matushkin

Novosibirsk State University

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Dmitry A. Afonnikov

Novosibirsk State University

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E. V. Ignatieva

Russian Academy of Sciences

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Victor G. Levitsky

Novosibirsk State University

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A. S. Rozanov

Russian Academy of Sciences

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Elena V. Ignatieva

Novosibirsk State University

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