Advanced Protein Secondary Structure Prediction Server
This server predicts secondary structure of protein from the amino acid sequence. In this server, Chou & Fasman algorithm has been implemented.
COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.
DAS (Dense Alignment Surface) is based on low-stringency dot-plots of the query sequence against a set of library sequences - non-homologous membrane proteins - using a previously derived, special scoring matrix. The method provides a high precision hyrdophobicity profile for the query from which the location of the potential transmembrane segments can be obtained. The novelty of the DAS-TMfilter algorithm is a second prediction cycle to predict TM segments in the sequences of the TM-library.
DLP-SVM is a domain linker predictor. It is composed of three loop-length dependent SVM predictors of domain linkers (SVM-All, SVM-Long and SVM-Short), and SVM-Joint, which combines
the results of SVM-Short and SVM-Long into a single consolidated prediction.
Protein secondary structure prediction
Prediction of transmembranes helices and topology of proteins.
Helical TransMembrane Segment
Rotational Angle Prediction
Secondary Structure Prediction Server
predicting coiled-coils in protein sequences
NetSurfP server predicts the surface accessibility and secondary structure of amino acids in an amino acid sequence.
The method also simultaneously predicts the reliability for each prediction, in the form of a Z-score. The Z-score is related to the surface prediction, and not the secondary structure.
NetTurnP predicts if an amino acid is located in a Beta-turn or not. Optional, NetTurnP is also able to predict the nine Beta-turn subtypes.
Protein Secondary Structure Prediction
PredictProtein integrates feature prediction for secondary structure, solvent accessibility, transmembrane helices, globular regions, coiled-coil regions, structural switch regions, B-values, disorder regions, intra-residue contacts, protein-protein and protein-DNA binding sites, sub-cellular localization, domain boundaries, beta-barrels, cysteine bonds, metal binding sites and disulphide bridges.
Secondary Structure Prediction System
SCRATCH is a server for predicting protein tertiary structure and structural features. The SCRATCH software suite includes predictors for secondary structure, relative solvent accessibility, disordered regions, domains, disulfide bridges, single mutation stability, residue contacts versus average, individual residue contacts and tertiary structure.
Secondary structure prediction.
Classification and Secondary Structure Prediction of Membrane Proteins.
TMHMM is a membrane protein topology prediction method based on a hidden Markov model (HMM). It predicts transmembrane helices in proteins.