PreDisorder: Protein Disorder Region Prediction Using Neural Networks

Email address(where the prediction will be sent) (Notice: in order to preserve the anonymity of reviewers, we created an email account particularly for reviewers. The account name is bioinformatics.test@gmail.com and the password is bioinformatics.) :

Target Name(required):


Protein sequence(one plain sequence, no headers):



References:

X. Deng, J. Eickholt and J. Cheng. PreDisorder: Ab Initio and Meta Methods for the Prediction of Protein Disorder Regions. Submitted.

J. Hecker, J. Yang, and J. Cheng. Protein Disorder Prediction at Multiple Levels of Sensitivity and Specificity. BMC Genomics. 9(S1):S9, 2008. [Open Access at BMC website]

J. Cheng, M. Sweredoski, and P. Baldi. Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data, Data Mining and Knowledge Discovery, vol. 11, no. 3, pp. 213-222, 2005.

PreDisorder (under group name: MULTICOM-CMFR) was among best in disorder prediction during CASP8, 2008.

Dr. Jianlin Cheng's Bioinformatics and Systems Biology Laboratory
Department of Computer Science
University of Missouri