MemBrain -- improving the accuracy of predicting transmembrane helices
What you can do:
Accurately predict transmembrane helices.
Highlights:
- MemBrain integrates a number of modern bioinformatics approaches including sequence representation by multiple sequence alignment matrix, the optimized evidence-theoretic K-nearest neighbor prediction algorithm, fusion of multiple prediction window sizes, and classification by dynamic threshold.
- MemBrain demonstrates an overall improvement of about 20% in prediction accuracy, particularly, in predicting the ends of TMHs and TMHs that are shorter than 15 residues.
- It also has the capability to detect N-terminal signal peptides. The MemBrain predictor is a useful sequence-based analysis tool for functional and structural characterization of helical membrane proteins;
Keywords:
- Membrane Proteins
- Protein Conformation
- transmembrane helices
- TMH
Literature & Tutorials:
This record last updated: 08-25-2008