DSC (Discrimination of protein Secondary structure Class) is based on decomposing secondary structure prediction into the basic concepts and then use of simple and linear statistical methods to combine the concepts for prediction. This makes the prediction method comprehensible and allows the relative importance of the different sources of information used to be measured.
This service is providing several physico-chemical profiles for the submitted sequence of protein:
The coiled-coil prediction is done with the algorithm of Lupas et al.. The probability that a residue in a protein is part of a coiled-coil structure was assessed by comparison of its flanking sequences with sequences of known coiled-coil proteins.
The service make a consensus of the several secondary structure predictions submitted by the user. The Consensus service should be used pipelined with the protein secondary structure prediction services of CNRS IBCP.
SIMPA96 is a nearest neighbor secondary structure prediction method. It's based on the homologue method described by Levin et al.