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  2. Swiss-model - Wikipedia

    en.wikipedia.org/wiki/Swiss-model

    Swiss-model (stylized as SWISS-MODEL) is a structural bioinformatics web-server dedicated to homology modeling of 3D protein structures. [ 1 ] [ 2 ] As of 2024 [update] , homology modeling is the most accurate method to generate reliable three-dimensional protein structure models and is routinely used in many practical applications.

  3. List of protein structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_protein_structure...

    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.

  4. Homology modeling - Wikipedia

    en.wikipedia.org/wiki/Homology_modeling

    Homology model of the DHRS7B protein created with Swiss-model and rendered with PyMOL. Homology modeling, also known as comparative modeling of protein, refers to constructing an atomic-resolution model of the "target" protein from its amino acid sequence and an experimental three-dimensional structure of a related homologous protein (the "template").

  5. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures.The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. [2]

  6. Phyre - Wikipedia

    en.wikipedia.org/wiki/Phyre

    The Phyre and Phyre2 servers predict the three-dimensional structure of a protein sequence using the principles and techniques of homology modeling.Because the structure of a protein is more conserved in evolution than its amino acid sequence, a protein sequence of interest (the target) can be modeled with reasonable accuracy on a very distantly related sequence of known structure (the ...

  7. 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).

  8. De novo protein structure prediction - Wikipedia

    en.wikipedia.org/wiki/De_novo_protein_structure...

    Currently, the gap between known protein sequences and confirmed protein structures is immense. At the beginning of 2008, only about 1% of the sequences listed in the UniProtKB database corresponded to structures in the Protein Data Bank (PDB), leaving a gap between sequence and structure of approximately five million. [4]

  9. Graphical models for protein structure - Wikipedia

    en.wikipedia.org/wiki/Graphical_models_for...

    Graphical models have become powerful frameworks for protein structure prediction, protein–protein interaction, and free energy calculations for protein structures. Using a graphical model to represent the protein structure allows the solution of many problems including secondary structure prediction, protein-protein interactions, protein-drug interaction, and free energy calculations.