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  2. MUSCLE (alignment software) - Wikipedia

    en.wikipedia.org/wiki/MUSCLE_(alignment_software)

    MUltiple Sequence Comparison by Log-Expectation (MUSCLE) is a computer software for multiple sequence alignment of protein and nucleotide sequences. It is licensed as public domain. The method was published by Robert C. Edgar in two papers in 2004. The first paper, published in Nucleic Acids Research, introduced the sequence alignment algorithm ...

  3. Protein aggregation predictors - Wikipedia

    en.wikipedia.org/wiki/Protein_aggregation_predictors

    sequence - Overall generic and amyloidogenic regions based on the consensus PASTA 2.0 [30] 2014 Web Server - PASTA 2.0: Secondary structure-related. Predicts the most aggregation-prone portions and the corresponding β-strand inter-molecular pairing for multiple input sequences. sequence top pairings and energies, mutations and protein-protein

  4. HMMER - Wikipedia

    en.wikipedia.org/wiki/HMMER

    A profile HMM modelling a multiple sequence alignment. HMMER is a free and commonly used software package for sequence analysis written by Sean Eddy. [2] Its general usage is to identify homologous protein or nucleotide sequences, and to perform sequence alignments.

  5. Threading (protein sequence) - Wikipedia

    en.wikipedia.org/wiki/Threading_(protein_sequence)

    Protein threading treats the template in an alignment as a structure, and both sequence and structure information extracted from the alignment are used for prediction. When there is no significant homology found, protein threading can make a prediction based on the structure information.

  6. 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]

  7. Protein sequencing - Wikipedia

    en.wikipedia.org/wiki/Protein_sequencing

    Protein sequence interpretation: a scheme new protein to be engineered in a yeast. It is often desirable to know the unordered amino acid composition of a protein prior to attempting to find the ordered sequence, as this knowledge can be used to facilitate the discovery of errors in the sequencing process or to distinguish between ambiguous results.

  8. Gene prediction - Wikipedia

    en.wikipedia.org/wiki/Gene_prediction

    Given a protein sequence, a family of possible coding DNA sequences can be derived by reverse translation of the genetic code. Once candidate DNA sequences have been determined, it is a relatively straightforward algorithmic problem to efficiently search a target genome for matches, complete or partial, and exact or inexact.

  9. 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").