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Nucleic Acids Research Advance Access originally published online on October 29, 2008
Nucleic Acids Research 2009 37(Database issue):D636-D641; doi:10.1093/nar/gkn839
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Nucleic Acids Research, 2009, Vol. 37, Database issue D636-D641
© 2008 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.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

Update of KDBI: Kinetic Data of Bio-molecular Interaction database

Pankaj Kumar1, B. C. Han1, Z. Shi1, J. Jia1, Y. P. Wang2, Y. T. Zhang2, L. Liang2, Q. F. Liu2, Z. L. Ji2 and Y. Z. Chen1,*

1Bioinformatics and Drug Design Group, Centre for Computational Science and Engineering, National University of Singapore, Blk S16, Level 8, 3 Science Drive 2, Singapore 117543 and 2Bioinformatics Research Group, School of Life Sciences, Xiamen University, Xiamen 361005, FuJian Province, P. R. China

*To whom correspondence should be addressed. Tel: +65 6516 6877; Fax: +65 6774 6756; Email: phacyz{at}nus.edu.sg

Received September 15, 2008. Revised October 10, 2008. Accepted October 14, 2008.

Knowledge of the kinetics of biomolecular interactions is important for facilitating the study of cellular processes and underlying molecular events, and is essential for quantitative study and simulation of biological systems. Kinetic Data of Bio-molecular Interaction database (KDBI) has been developed to provide information about experimentally determined kinetic data of protein–protein, protein–nucleic acid, protein–ligand, nucleic acid–ligand binding or reaction events described in the literature. To accommodate increasing demand for studying and simulating biological systems, numerous improvements and updates have been made to KDBI, including new ways to access data by pathway and molecule names, data file in System Biology Markup Language format, more efficient search engine, access to published parameter sets of simulation models of 63 pathways, and 2.3-fold increase of data (19 263 entries of 10 532 distinctive biomolecular binding and 11 954 interaction events, involving 2635 proteins/protein complexes, 847 nucleic acids, 1603 small molecules and 45 multi-step processes). KDBI is publically available at http://bidd.nus.edu.sg/group/kdbi/kdbi.asp.


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