Links tagged with 'secondary protein structure'

Found 85 links

Displaying 15 links

AlphaPredTool Content

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The AlphaPred server predicts the alpha turn residues in the given protein sequence. The method is based on the neural network training on PSI-BLAST generated position specific matrices and PSIPRED predicted secondary structure.

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BetatPred2Tool Content

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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. For ß turn prediction, it uses the position specific score matrices generated by PSI-BLAST and secondary structure predicted by PSIPRED.

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BOMPTool Content

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The beta-barrel Outer Membrane protein Predictor (BOMP) takes one or more fasta-formatted polypeptide sequences from Gram-negative bacteria as input and predicts whether or not they are beta-barrel integral outer membrane proteins.

BPROMPTTool Content

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Bayesian PRediction Of Membrane Protein Topology (BPROMPT) uses a Bayesian Belief Network to combine the results of other membrane protein prediction methods for a protein sequence.

links directory index: 37
TitlePublication YearGoogle Scholar Citation Count
BPROMPT: A consensus server for membrane protein prediction200337

BSDBDatabase Content

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The Biomolecule Stretching Data provides information about mechanostability of proteins. Its core is based on simulations of stretching of proteins within a structure-based model. The primary information is about the heights of the maximal force peaks, the force-displacement patterns, and the sequencing of the contact-rupturing events. Information on the possible types of the mechanical clamps (the motifs which are responsible for a protein's resistance to stretching) are also given.

links directory index: 4
TitlePublication YearGoogle Scholar Citation Count
BSDB: the biomolecule stretching database20114

BTEVALTool Content

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The aim of BTEVAL server is to evaluate beta turn prediction algorithms on a uniform data set of 426 proteins or subsets of these proteins. It is the new data set in which no two protein chains have more that 25% sequence identity and each chain contains minimum one beta turn.

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CHpredictTool Content

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The CHpredict server predict two types of interactions: C-H...O and C-H...π interactions. For C-H...O interaction, the server predicts the residues whose backbone Cα atoms are involved in interaction with backbone oxygen atoms and for C-H...π interactions, it predicts the residues whose backbone Cα atoms are involved in interaction with π ring system of side chain aromatic moieties.

This content is being maintained by raghavagps.

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