Potapov, Anatolij P.

[["dc.bibliographiccitation.firstpage","169"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of biosciences"],["dc.bibliographiccitation.lastpage","180"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Wingender, Edgar"],["dc.contributor.author","Crass, Torsten"],["dc.contributor.author","Hogan, Jennifer D."],["dc.contributor.author","Kel, Alexander E."],["dc.contributor.author","Kel-Margoulis, Olga V."],["dc.contributor.author","Potapov, Anatolij P."],["dc.date.accessioned","2019-07-10T08:11:49Z"],["dc.date.available","2019-07-10T08:11:49Z"],["dc.date.issued","2007"],["dc.description.abstract","Bioinformatics has delivered great contributions to genome and genomics research, without which the world-wide success of this and other global ('omics') approaches would not have been possible. More recently, it has developed further towards the analysis of different kinds of networks thus laying the foundation for comprehensive description, analysis and manipulation of whole living systems in modern \"systems biology\". The next step which is necessary for developing a systems biology that deals with systemic phenomena is to expand the existing and develop new methodologies that are appropriate to characterize intercellular processes and interactions without omitting the causal underlying molecular mechanisms. Modelling the processes on the different levels of complexity involved requires a comprehensive integration of information on gene regulatory events, signal transduction pathways, protein interaction and metabolic networks as well as cellular functions in the respective tissues / organs."],["dc.identifier.pmid","17426389"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11190"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60805"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","0250-5991"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","Goescholar"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Cell Communication"],["dc.subject.mesh","Cell Physiological Phenomena"],["dc.subject.mesh","Computational Biology"],["dc.subject.mesh","Databases, Genetic"],["dc.subject.mesh","Gene Regulatory Networks"],["dc.subject.mesh","Genomics"],["dc.subject.mesh","Hormones"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Metabolic Networks and Pathways"],["dc.subject.mesh","Signal Transduction"],["dc.subject.mesh","Systems Biology"],["dc.title","Integrative content-driven concepts for bioinformatics \"beyond the cell\"."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","163"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","COMPARATIVE AND FUNCTIONAL GENOMICS"],["dc.bibliographiccitation.lastpage","168"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Choi, C."],["dc.contributor.author","Krull, M."],["dc.contributor.author","Kel, Alexander E."],["dc.contributor.author","Kel-Margoulis, Olga V."],["dc.contributor.author","Pistor, S."],["dc.contributor.author","Potapov, Anatolij P."],["dc.contributor.author","Voss, Nico"],["dc.contributor.author","Wingender, Edgar"],["dc.date.accessioned","2018-11-07T10:50:32Z"],["dc.date.available","2018-11-07T10:50:32Z"],["dc.date.issued","2004"],["dc.description.abstract","TRANSPATH(R) can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyser. Therefore, three modules have been created: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder(TM), which provides several different types of network visualization and hence faciliates understanding; the third is ArrayAnalyzer(TM), which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH(R) to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH(R) is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC(R), a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes. More information is available at www.biobase.de/pages/products/databases.html. Copyright (C) 2004 John Wiley Sons, Ltd."],["dc.identifier.doi","10.1002/cfg.386"],["dc.identifier.isi","000221783700006"],["dc.identifier.pmid","18629064"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/4431"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/48676"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","John Wiley & Sons Ltd"],["dc.relation.issn","1531-6912"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","TRANSPATH (R) - a high quality database focused on signal transduction"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","D546"],["dc.bibliographiccitation.journal","Nucleic Acids Research"],["dc.bibliographiccitation.lastpage","D551"],["dc.bibliographiccitation.volume","34"],["dc.contributor.author","Krull, Mathias"],["dc.contributor.author","Pistor, Susanne"],["dc.contributor.author","Voss, Nico"],["dc.contributor.author","Kel, Alexander E."],["dc.contributor.author","Reuter, Ingmar"],["dc.contributor.author","Kronenberg, Deborah"],["dc.contributor.author","Michael, Holger"],["dc.contributor.author","Schwarzer, Knut"],["dc.contributor.author","Potapov, Anatolij P."],["dc.contributor.author","Choi, Claudia"],["dc.contributor.author","Kel-Margoulis, Olga"],["dc.contributor.author","Wingender, Edgar"],["dc.date.accessioned","2018-11-07T10:39:39Z"],["dc.date.available","2018-11-07T10:39:39Z"],["dc.date.issued","2006"],["dc.description.abstract","TRANSPATH (R) is a database about signal transduction events. It provides information about signaling molecules, their reactions and the pathways these reactions constitute. The representation of signaling molecules is organized in a number of orthogonal hierarchies reflecting the classification of the molecules, their species-specific or generic features, and their post-translational modifications. Reactions are similarly hierarchically organized in a three-layer architecture, differentiating between reactions that are evidenced by individual publications, generalizations of these reactions to construct species-independent 'reference pathways' and the 'semantic projections' of these pathways. A number of search and browse options allow easy access to the database contents, which can be visualized with the tool PathwayBuilder (TM). The module PathoSign adds data about pathologically relevant mutations in signaling components, including their genotypes and phenotypes. TRANSPATH (R) and PathoSign can be used as encyclopaedia, in the educational process, for vizualization and modeling of signal transduction networks and for the analysis of gene expression data. TRANSPATH (R) Public 6.0 is freely accessible for users from non-profit organizations under http://www.gene-regulation.com/pub/databases.html."],["dc.identifier.doi","10.1093/nar/gkj107"],["dc.identifier.isi","000239307700118"],["dc.identifier.pmid","16381929"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/46101"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","1362-4962"],["dc.relation.issn","0305-1048"],["dc.title","TRANSPATH (R): an information resource for storing and visualizing signaling pathways and their pathological aberrations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]