CYCLONET—an integrated database on cell cycle regulation and carcinogenesis

Computational modelling of mammalian cell cycle regulation is a challenging task, which requires comprehensive knowledge on many interrelated processes in the cell. We have developed a web-based integrated database on cell cycle regulation in mammals in normal and pathological states (Cyclonet datab...

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Main Authors: Kolpakov, Fedor, Poroikov, Vladimir, Sharipov, Ruslan, Kondrakhin, Yury, Zakharov, Alexey, Lagunin, Alexey, Milanesi, Luciano, Kel, Alexander
Format: Online
Language:English
Published: Oxford University Press 2007
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1899094/
id pubmed-1899094
recordtype oai_dc
spelling pubmed-18990942007-06-26 CYCLONET—an integrated database on cell cycle regulation and carcinogenesis Kolpakov, Fedor Poroikov, Vladimir Sharipov, Ruslan Kondrakhin, Yury Zakharov, Alexey Lagunin, Alexey Milanesi, Luciano Kel, Alexander Articles Computational modelling of mammalian cell cycle regulation is a challenging task, which requires comprehensive knowledge on many interrelated processes in the cell. We have developed a web-based integrated database on cell cycle regulation in mammals in normal and pathological states (Cyclonet database). It integrates data obtained by ‘omics’ sciences and chemoinformatics on the basis of systems biology approach. Cyclonet is a specialized resource, which enables researchers working in the field of anticancer drug discovery to analyze the wealth of currently available information in a systematic way. Cyclonet contains information on relevant genes and molecules; diagrams and models of cell cycle regulation and results of their simulation; microarray data on cell cycle and on various types of cancer, information on drug targets and their ligands, as well as extensive bibliography on modelling of cell cycle and cancer-related gene expression data. The Cyclonet database is also accessible through the BioUML workbench, which allows flexible querying, analyzing and editing the data by means of visual modelling. Cyclonet aims to predict promising anticancer targets and their agents by application of Prediction of Activity Spectra for Substances. The Cyclonet database is available at . Oxford University Press 2007-01 /pmc/articles/PMC1899094/ /pubmed/17202170 http://dx.doi.org/10.1093/nar/gkl912 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Kolpakov, Fedor
Poroikov, Vladimir
Sharipov, Ruslan
Kondrakhin, Yury
Zakharov, Alexey
Lagunin, Alexey
Milanesi, Luciano
Kel, Alexander
spellingShingle Kolpakov, Fedor
Poroikov, Vladimir
Sharipov, Ruslan
Kondrakhin, Yury
Zakharov, Alexey
Lagunin, Alexey
Milanesi, Luciano
Kel, Alexander
CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
author_facet Kolpakov, Fedor
Poroikov, Vladimir
Sharipov, Ruslan
Kondrakhin, Yury
Zakharov, Alexey
Lagunin, Alexey
Milanesi, Luciano
Kel, Alexander
author_sort Kolpakov, Fedor
title CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
title_short CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
title_full CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
title_fullStr CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
title_full_unstemmed CYCLONET—an integrated database on cell cycle regulation and carcinogenesis
title_sort cyclonet—an integrated database on cell cycle regulation and carcinogenesis
description Computational modelling of mammalian cell cycle regulation is a challenging task, which requires comprehensive knowledge on many interrelated processes in the cell. We have developed a web-based integrated database on cell cycle regulation in mammals in normal and pathological states (Cyclonet database). It integrates data obtained by ‘omics’ sciences and chemoinformatics on the basis of systems biology approach. Cyclonet is a specialized resource, which enables researchers working in the field of anticancer drug discovery to analyze the wealth of currently available information in a systematic way. Cyclonet contains information on relevant genes and molecules; diagrams and models of cell cycle regulation and results of their simulation; microarray data on cell cycle and on various types of cancer, information on drug targets and their ligands, as well as extensive bibliography on modelling of cell cycle and cancer-related gene expression data. The Cyclonet database is also accessible through the BioUML workbench, which allows flexible querying, analyzing and editing the data by means of visual modelling. Cyclonet aims to predict promising anticancer targets and their agents by application of Prediction of Activity Spectra for Substances. The Cyclonet database is available at .
publisher Oxford University Press
publishDate 2007
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1899094/
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