For a more detailed explanation, see in theĪCCpro is a server for the prediction of the relative solvent accessibility of protein residues. The complete system is anĮnsemble of 10 1D-RNNs. Threshold radius at which residues are considered in contact is atġ2Å. Input a multiple alignment of homologues generated by PSI-BLAST. The prediction of CONpro is based on 1D-RNNs, adopting as The overall accuracy of ABTMpro is upwards of 97%, and achieves MCC values of 0.93 and 0.94 on smaller data sets and MCC values of 0.85 and 0.63 on much larger tests for alpha helical and beta barrel transmembrane proteins respectively.ĬONpro is a server that predicts whether the number of contacts ofĮach residue in a protein is above or below the average for that
The prediction framework consists of a Support Vector Machine, which utilizes features such as amino acid composition and properties, reduced alphabet composition, predicted secondary structure, evolutionary information etc. If the given protein sequence is a transmembrane protein, ABTMpro further predicts the probabilities of the protein being an alpha helical transmembrane protein or a Beta Barrel transmembrane protein. Their results may not match.ĭownload SSpro8 6.0 (free for academic use) ABTMproĪBTMpro is a server that predicts whether a given protein sequence is a transmembrane protein. NOTE: SSpro8 is a completely different system from SSpro. Proteins with no homologs in the PDB and above 78% to 98% when homologs can be found in the PDB. Performance of the system currently online is approximately 72% correctly classified residues on To assign the secondary structure of a protein, SSpro8 adopts the full DSSP 8-class outputįor a detailed description of the tests performed on SSpro8, see the references. Instead of using three classes (helix, strand and the rest) Where homologs can be found in the PDB, ranking on top of the tested prediction servers.ĭownload SSpro 6.0 (free for academic use) SSpro8 On proteins with no homologs in the PDB and in the range of 87.8% to 98.7% correctly classified residues on proteins SSpro currently achieves a performance exceeding 84% correctly classified residues Information (sequence homology) and homologous protein's secondary structure (structure homology).įor a detailed explanation of the methods, please refer to the references listed at the bottom SSpro is a server for protein secondary structure prediction based on protein evolutionary SCRATCH: A Quick Description Methods SSpro
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