TMBETA-DISC:
Discrimination of Beta-Barrel Membrane Proteins from Amino Acid Sequence.

We have developed statistical and SVM based methods for discriminating beta barrel membrane proteins from amino acid sequence. The amino acid composition, residue pair preference and motifs are the major attributes for the program. For details and discrimination results, please click on the program name.

TMBETADISC-COMP Discrimination based on Amino Acid Composition

TMBETADISC-DIPEPTIDE Discrimination based on Residue Pair Composition

TMBETADISC-MOTIF Discrimination based on Motif Composition

TMBETADISC-SVM Discrimination based on Amino Acid and Dipeptide Compositions using Support Vector Machines.

References:
M. Michael Gromiha and Makiko Suwa (2005) A Simple Statistical Method for Discriminating Outer Membrane Proteins with Better Accuracy. Bioinformatics 21, 961-968.

M. Michael Gromiha, S. Ahmad and M. Suwa (2005) Application of Residue Distribution Along the Sequence for Discriminating Outer Membrane Proteins. Comput. Biol. Chem. 29, 135-142.

M. Michael Gromiha, S. Ahmad and M. Suwa (2005) TMBETA-NET: Discrimination and Prediction of Membrane Spanning Beta-strands in Outer Membrane Proteins. Nucleic Acids Res. 33, W164-167.

Contributors for the Analysis and Discrimination:

1. M. Michael Gromiha, Computational Biology Research Center, AIST.

2. Makiko Suwa, Computational Biology Research Center, AIST.
3. K-J. Park, Computational Biology Research Center, AIST.
4. Paul Horton, Computational Biology Research Center, AIST.
5. Shandar Ahmad, Jamia Millia Islamia University, India