Authors: Manish Kumar, Ruchi Verma & Gajendra Raghava
Prediction of mitochondrial proteins is one of the major challenge in the filed bioinformatics due to their importance living organism. Mitochondrial proteins are associated with diseases like Alzheimer, Perkinson and Type II diabetes. Thus it is important to develop method for predicting mitochondrial proteins. The existing subcellular localization methods predict most of the location with high accuracy except mitochondrial protein. In order to improve accuracy of prediction of mitochndrial protein we developed a novel method Mitpred, based on presence of exclusive mitochondrial domains.
How to predict:
Around 40 seconds for predicting one protein
Mitpred2 may take long time if you wish to predict many sequences. It is advisable to enter your email. Result will be send by email.
For bug reports please contact us at: [email protected]
Kumar M, Verma R, Raghava GPS. (2005) Prediction of mitochondrial proteins using support vector machine and hidden Markov model. J Biol Chem. 281:5357-63.
This work was supported by the Council of Scientific and Industrial Research and the Department of Biotechnology, Government of India.
Manish Kumar, Ruchi Verma & Gajendra Raghava, Institute of Microbial Technology, Sector-39A, Chandigarh
Source: Protocol Exchange (2007) doi:10.1038/nprot.2007.488. Originally published online 5 November 2007.