Implementation of the Fourier transform for the analysis of periodic patterns in amino acid or DNA sequences.
Implementation of a method that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The algorithm refines a standard hydrophobicity analysis with a detection of potential termini (`edges', starts and ends) of transmembrane regions.
Enhanced version of PRED-TMR with protein classification capabilities. The software uses an artificial neural network to filter out proteins that are not membrane proteins before processing of the input sequence to detect transmembrane domains.
Topology prediction of transmembrane proteins and segments.
A system of cascading neural networks that classifies any protein into one of four possible classes: membrane, globular, fibrous, mixed.
A tool that combines the results of several transmembrane prediction algorithms into a joint prediction histogram.
An integrated environment to support protein sequence and structure analysis.
A database of transmembrane regions automatically extracted from the SwissProt database.
A database of inter-transmembrane regions automatically extracted from the SwissProt database.