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Nucleic Acids Research 2007 35(Database issue):D550-D556; doi:10.1093/nar/gkl912
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Nucleic Acids Research, 2007, Vol. 35, Database issue D550-D556
© 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.

Articles

CYCLONET—an integrated database on cell cycle regulation and carcinogenesis

Fedor Kolpakov1,2, Vladimir Poroikov3, Ruslan Sharipov1,2,4,*, Yury Kondrakhin1,2, Alexey Zakharov3, Alexey Lagunin3, Luciano Milanesi5 and Alexander Kel6

1 Institute of Systems Biology, 15, Detskiy proezd Novosibirsk 630090, Russia 2 Design Technological Institute of Digital Techniques, Siberian Branch of Russian Academy of Sciences 6, Institutskaya, Novosibirsk 630090, Russia 3 Institute of Biomedical Chemistry of Russian Academy of Medical Sciences 10, Pogodinskaya Street, Moscow 119121, Russia 4 Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences 10, Lavrentyev Avenue, Novosibirsk 630090, Russia 5 CNR-Institute of Biomedical Technologies, 93 Via Fratelli Cervi, Segrate (MI) 20090, Italy 6 BIOBASE GmbH, 33 Halchtersche Strasse, Wolfenbuettel 38304, Germany

*To whom correspondence should be addressed. Tel/Fax: +7 383 3303070; Email: shrus79{at}gmail.com

Received August 16, 2006. Revised October 12, 2006. Accepted October 13, 2006.

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 http://cyclonet.biouml.org.


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