About HomoKinase Database

Protein kinases are the enzymes involved in regulating the majority of cellular pathways  involved in signal transduction. About 30% of human proteins are modified by kinase activity. We describe the HomoKinase Database (www.biomining-bu.in/homokinase) which serves as a ware house for 498 human kinase proteins. Entries in Homokinase Database were filtered by stringent criteria viz., HGNC approval; Gene ontology based biological process (protein phosphorylation) and molecular function (ATP binding and kinase activity) that are responsible for human protein kinase activity. The key feature of this database involves the search of human protein kinase based on common gene/protein identification name/group and tabulates most relevant biological information in order to provide great insight for biological community.

The database can be searched for individual gene/protein information or for a group. Individual search can be carried out by giving official symbol [provided by HGNC], search by ID (Entrez gene ID, HGNC ID, Ensembl ID, UniProt ID), name/other aliases/designations. Group search can be carried by classification group, domain, family, subfamily. There are 10 classification groups, 114 kinase domain, 22 kinase family, 66 kinase subfamily. 


Team

Dr. Suresh Subramani Ms. Saranya Jayapalan      Dr.  Kalpana Raja Dr. Jeyakumar Natarajan*
PhD Student PhD Student PhD Student Associate Professor
     
Data Mining and Text Mining Laboratory,
Department of Bioinformatics,
School of Life Sciences,
Bharathiar University,
Coimbatore - 641 046,
Tamilnadu, INDIA

Publication

Suresh Subramani, Saranya Jayapalan, Raja Kalpana, and Jeyakumar Natarajan, “HomoKinase: A Curated Database of Human Protein Kinases,” ISRN Computational Biology, vol. 2013, Article ID 417634, 5 pages, 2013. doi:10.1155/2013/417634. PDF

Acknowledgement

This work has been carried out as a part of the Department of Information Technology (DIT) project entitled "Text Mining and Data Warehousing of Protein Kinases Relationships and Pathways" at Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, India.