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  2. Predictprotein - Wikipedia

    en.wikipedia.org/wiki/Predictprotein

    PredictProtein (PP) is an automatic service that searches up-to-date public sequence databases, creates alignments, and predicts aspects of protein structure and function. Users send a protein sequence and receive a single file with results from database comparisons and prediction methods.

  3. List of protein subcellular localization prediction tools

    en.wikipedia.org/wiki/List_of_protein_sub...

    This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...

  4. Chou–Fasman method - Wikipedia

    en.wikipedia.org/wiki/Chou–Fasman_method

    The Chou–Fasman method is an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s by Peter Y. Chou and Gerald D. Fasman. [ 1 ] [ 2 ] [ 3 ] The method is based on analyses of the relative frequencies of each amino acid in alpha helices , beta sheets , and turns based on known protein ...

  5. Protein aggregation predictors - Wikipedia

    en.wikipedia.org/wiki/Protein_aggregation_predictors

    Structure based prediction of fribrillation propoensities, using crystal strucutrue of the fibril forming peptide NNQQNY from the sup 35 prion protein of Saccharomyces cerevisiae. sequence - Amyloidogenic regions and, energy and beta-sheet conformation STITCHER [24] 2012 Web Server - Stitcher (currently offline) Secondary structure-related ...

  6. Protein function prediction - Wikipedia

    en.wikipedia.org/wiki/Protein_function_prediction

    Protein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures.

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  8. Protein structure prediction - Wikipedia

    en.wikipedia.org/wiki/Protein_structure_prediction

    An alpha-helix with hydrogen bonds (yellow dots) The α-helix is the most abundant type of secondary structure in proteins. The α-helix has 3.6 amino acids per turn with an H-bond formed between every fourth residue; the average length is 10 amino acids (3 turns) or 10 Å but varies from 5 to 40 (1.5 to 11 turns).

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