transFold -- a web server for predicting the structure and residue contacts of transmembrane beta-barrels
What you can do:
Predict the super-secondary structure of Transmembrane beta-barrel (TMB).
Highlights:
- The transFold web server uses pairwise inter-strand residue statistical potentials derived from globular (non-outer-membrane) proteins to predict the supersecondary structure of TMB.
- TransFold does not use machine learning methods such as hidden Markov models or neural networks; instead, transFold employs multi-tape S-attribute grammars to describe all potential conformations, and then applies dynamic programming to determine the global minimum energy supersecondary structure.
- The transFold web server not only predicts secondary structure and TMB topology, but is the only method which additionally predicts the side-chain orientation of transmembrane beta-strand residues, inter-strand residue contacts and TM beta-strand inclination with respect to the membrane.
Keywords:
- transmembrane barrel protein supersecondary structure prediction tool
- transmembrane barrel protein topology prediction tool
- beta-barrel proteins
- xdf-barrel proteins
- beta-barrel protein prediction tool
- transmembrane protein prediction tool
- protein secondary structure analysis tool
Literature & Tutorials:
This record last updated: 07-20-2006