DSSP is a database of secondary structure assignments (and much more) for all protein entries in the Protein Data Bank (PDB).
A web-based database of transmembrane helices in genome sequences.
PDBTM, the first comprehensive and up-to-date transmembrane protein selection of the Protein Data Bank (PDB).
TransMembrane Protein DataBase with Experimentally-Characterized Transmembrane Topologies.
Orientations of Proteins in Membranes (OPM) database. OPM provides spatial arrangements of membrane proteins with respect to the hydrocarbon core of the lipid bilayer.
The program SSCP computes predictions for the content of helix, strand, and coil for a given protein using the amino acid composition as the only input information.
BCM Search Launcher: Protein Secondary Structure Prediction
PredictProtein is a service for sequence analysis, structure and function prediction. When you submit any protein sequence PredictProtein retrieves similar sequences in the database and predicts aspects of protein structure and function
Advanced Protein Secondary Structure Prediction Server
A Secondary Structure Prediction Server
Protein Secondary Structure Prediction @ University College Dublin
The Protein Sequence Analysis (PSA) server predicts protein secondary and tertiary structure based on sequence, and is available for researchers who have amino acid sequences for proteins of unknown structure and for which no homologous sequences are known.
The PSIPRED protein structure prediction server allows you to submit a protein sequence, perform a prediction of your choice and receive the results of the prediction via e-mail.
The Protein Sequence Analysis (PSA) server predicts protein secondary and tertiary structure based on sequence, and is available for researchers who have amino acid sequences for proteins of unknown structure and for which no homologous sequences are known.
PROF - Secondary Structure Prediction System
Prediction of coiled coil regions in proteins.
Prediction of Coiled-Coil Regions in Proteins
Paircoil2 predicts the parallel coiled coil fold from sequence using pairwise residue probabilitis with the Paircoil algorithm and an updated coiled coil database.
COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score.
MultiCoil program predicts the location of coiled-coil regions in amino acid sequences and classifies the predictions as dimeric or trimeric. If you are only concerned with whether your sequence is or is not a coiled coil, Paircoil2 is likely to be more accurate than Multicoil. To distinguish between dimeric and trimeric coiled coils, continue using Multicoil.
Predict Leucine Zippers in your amino acid sequence.
algorithm to predict the helical content of peptides.
Helical wheel tool for alpha helice prediction.
Helical wheel drawing program by John K. Everett
Strand-loop-strand motifs classification into local hairpins and non local diverging turns using nueral networks
The Server of Predicting Beta-Residue Pair, Strand Pair, Strand Alignment, and Beta-Sheet Architecture
The aim of BetaTPred2 server is to predict ß turns in proteins from multiple alignment by using neural network from the given amino acid sequence.
A template-based loop prediction server.
EBI service to predict transmembrane topology and signal peptides from the amino acid sequence of a protein.
A combined transmembrane topology and signal peptide predictor
Transmembrane Prediction server
The DAS server will predict transmembrane regions of a query sequence.
Transmembrane detection based on multiple sequence alignment
Another TMAP serevr
The TMpred program makes a prediction of membrane-spanning regions and their orientation. The algorithm is based on the statistical analysis of TMbase, a database of naturally occuring transmembrane proteins.
TopPred : Topology prediction of membrane proteins
Server is to predict the transmembrane (TM) secondary structures of membrane proteins, using the method of preference functions.
Hidden Markov Models for Transmembrane Protein topology Prediction
PRED-TMR is a method that predicts transmembrane domains in proteins using solely information contained in the sequence itself.
Membrane protein IdeNtificatioN withOUt explicit use of hydropathy profiles and alignments
Prediction of transmembrane beta-strands of the gram-negative bacteria outer membrane proteins.
TMDET may be used for the detection of the transmembrane regions of membrane proteins using their 3D structure.
Bayesian PRediction Of Membrane Protein Topology
A Consensus Prediction Method for Obtaining Transmembrane Topology Models with High-Reliability
Transmembrane Domain Predictor
TransMem is an ANN (Artificial Neural Network) based program for predicting transmembrane domains in proteins.
Prediction of transmembrane beta-barrel features and tertiary structure.
Screen sequence sets for potential/candidate transmembrane barrel proteins using whole sequence amino acid composition.
Transmembrane Beta Barrel prediction server predicts the transmembrane Beta barrel regions in a given protein sequence. The server uses a forked strategy for predicting residues which are in transmembrane beta barrel regions. Prediction can be done based only on neural networks or based on statistical learning technique - SVM or combination of two methods.
Method based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the gram-negative bacteria outer membrane proteins
TMBETA-GENOME is a collection of amino acid sequences for all the completed genomes and the annotated trans beta-barrel membrane proteins (TMBs) using different discrimination algorithms.
Discrimination of Beta-Barrel Membrane Proteins from Amino Acid Sequence.
Discrimination of Outer Membrane Proteins
Discrimination and Prediction of Transmembrane Beta Strands in Outer Membrane Proteins from amino acid sequence.
Prediction of Transmembrane Beta Strands in Proteins from amino acid sequence.
Prediction of transmembrane helices in proteins
Transmembrane helix prediction with low false-positive rate
Prediction of transmembrane helices and topology of proteins
Statistical analysis of amino acid patterns in transmembrane helices
The Localizome server predicts TM helix number and TM topology of a eukaryotic protein and presents the result as an intuitive graphic representation. It utilizes hmmpfam to detect the presence of Pfam domains, and a prediction algorithm, Phobius, to predict the TMhelices.
Domain linker predictor
Predict protein disorder
Prediction of Intrinsically Unstructured Proteins
Prediction of Protein Disorder Server
Scooby-domain (Sequence hydrophobicity predicts domains) is a method to identify globular regions in protein sequence that are suitable for structural studies.
Intrinsic Protein Disorder Prediction
Intrinsic Protein Disorder, Domain & Globularity Prediction
Web based predictor for disordered regions in proteins
Protein Disorder Region Prediction
Predictor Of Naturally Disordered Regions
Prediction of unfolded segments in a protein sequence based on amino acid composition.
Protein Disorder Prediction
DisProt Predictor of Intrinsically Disordered Region
The VSL2 protein disorder predictor exploits the length-depent (heterogenous) amino acid compositions and sequence properties of intrinsically disordered regions to improve the prediction performance.
NORSp is a publicly available predictor for disordered regions in protein. Specifically, it predicts long regions with no regular secondary structure. Upon user submission of protein sequence, NORSp will analyse the protein about its secondary structure, and presence of transmembrane helices and coiled-coil.