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Predicts secondary structure and solvent accessibility: Webserver: server and API: 1998 PredictProtein: Profile-based neural network: Webserver: server: 1992 PSIPRED: two feed-forward neural networks which perform an analysis on output obtained from PSI-BLAST: Webserver: server: 1999
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
Secondary structure prediction is a set of techniques in bioinformatics that aim to predict the secondary structures of proteins and nucleic acid sequences based only on knowledge of their primary structure. For proteins, this means predicting the formation of protein structures such as alpha helices and beta strands, while for nucleic acids it ...
The three final output nodes deliver a score for each secondary structure element for the central position of the window. Using the secondary structure with the highest score, PSIPRED generates the protein prediction. [9] The Q3 value is the fraction of residues predicted correctly in the secondary structure states, namely helix, strand, and ...
The best modern methods of secondary structure prediction in proteins were claimed to reach 80% accuracy after using machine learning and sequence alignments; [5] this high accuracy allows the use of the predictions as feature improving fold recognition and ab initio protein structure prediction, classification of structural motifs, and ...
Jpred v.4 is the latest version of the JPred Protein Secondary Structure Prediction Server [1] which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction, [2] that has existed since 1998 in different versions.
I-TASSER is a template-based method for protein structure and function prediction. [1] The pipeline consists of six consecutive steps: 1, Secondary structure prediction by PSSpred; 2, Template detection by LOMETS [6] 3, Fragment structure assembly using replica-exchange Monte Carlo simulation [7]
An email is sent to the user together with a link to a web page of results. RaptorX Server currently generates the following results: 3-state and 8-state secondary structure prediction, sequence-template alignment, 3D structure prediction, solvent accessibility prediction, disorder prediction and binding site prediction.
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related to: protein secondary structure prediction tool