Skip Navigation

KinG: Kinases in Genomes

NAR Molecular Biology Database Collection entry number 518
Gnanavel, M., Rakshambikai, R. and Srinivasan, N.
Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560 012, India

Database Description

Database of Kinases in Genomes (KinG) is an on-line compilation of the putative Ser/Thr/Tyr kinases encoded in the completely sequenced genomes of prokaryotes, viruses and eukaryotes [1]. The full complement of protein kinases in various completely sequenced genomes is hosted at provides detailed listing of the Ser/Thr/Tyr and atypical protein kinases in various organisms, accompanied by other features such as protein kinase subfamily classification and domain organization. The database also enables the retrieval of protein kinases belonging to specified subfamily or with specific domain combination. User-specified protein sequences can be queried against the database for identifying the protein kinase catalytic domain and various functional residues in the catalytic kinase domain.

Recent Developments

In the current version of KinG, information on 1813 kinases gleaned from the genomes of 6 organisms has been added. These newly added kinases are identified from the genomes of 10 plant species, 4 metazoa and 2 fungi. KinG now holds information on over 49000 kinases. Hanks and Hunter group classification [2] has been adopted to classify these kinases. For the identification and subfamily classification of putative protein kinases in the updated version of KinG, a multiple position-specific scoring matrices approach [3] has been used.


This research is supported by the Department of Biotechnology, Government of India, New Delhi to N.S.


1.Krupa, A., Abhinandan, K.R., Srinivasan N. (2004) KinG: a database of protein kinases in genomes. Nucleic Acids Res. 32: D153-D155
2.Hanks SK, Hunter T: Protein kinases 3. The eukaryotic protein kinase superfamily: kinase (catalytic) domain structure and classification. Faseb J 1995, 9(8):576-596.
3. Gowri, V.S., Krishnadev, O., Swamy, C.S., Srinivasan, N. (2006) MulPSSM: a database of multiple position-specific scoring matrices of protein domain families. Nucleic Acids Res., 34: D243-6

Go to the abstract in the NAR 2004 Database Issue.
Oxford University Press is not responsible for the content of external internet sites