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  2. 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.

  3. 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]

  4. HMMER - Wikipedia

    en.wikipedia.org/wiki/HMMER

    The four search types phmmer, hmmsearch, hmmscan and jackhmmer are supported (see Programs). The search function accepts single sequences as well as sequence alignments or profile HMMs. [10] The search results are accompanied by a report on the taxonomic breakdown, and the domain organisation of the hits. Search results can then be filtered ...

  5. List of gene prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_gene_prediction...

    Predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repeat elements in DNA sequence: Human, Mus musculus, Arabidopsis thaliana, Drosophila melanogaster [32] [33] mGene Support-vector machine (SVM) based system to find genes: Eukaryotes [34] mGene.ngs

  6. Protein structure prediction - Wikipedia

    en.wikipedia.org/wiki/Protein_structure_prediction

    the linear amino acid sequence of a protein, which chemically is a polypeptide chain composed of amino acids joined by peptide bonds. Profile (sequence context) a scoring matrix that represents a multiple sequence alignment of a protein family. The profile is usually obtained from a well-conserved region in a multiple sequence alignment.

  7. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    In general, a machine learning system can usually be trained to recognize elements of a certain class given sufficient samples. [30] For example, machine learning methods can be trained to identify specific visual features such as splice sites. [31] Support vector machines have been extensively used in cancer genomic studies. [32]

  8. Protein function prediction - Wikipedia

    en.wikipedia.org/wiki/Protein_function_prediction

    Hence proteins in a newly sequenced genome are routinely annotated using the sequences of similar proteins in related genomes. However, closely related proteins do not always share the same function. [6] For example, the yeast Gal1 and Gal3 proteins are paralogs (73% identity and 92% similarity) that have evolved very different functions with ...

  9. BLAST (biotechnology) - Wikipedia

    en.wikipedia.org/wiki/BLAST_(biotechnology)

    On the other hand, the program XNU is used to mask off the tandem repeats in protein sequences. Make a k-letter word list of the query sequence. Take k=3 for example, we list the words of length 3 in the query protein sequence (k is usually 11 for a DNA sequence) "sequentially", until the last letter of the query sequence is included. The ...