NNAlign

NNAlign is a web server to locate linear SH2, SH3, PDZ peptide-recognition domains SH2, SH3, PDZ in amino acid and nucleotide sequences. The NNAlign algorithm uses sequence alignments to construct a motif model. NNAlign also includes functions for cross-validation and evaluations using independent data.

Topic

Immunology;Immunoproteins, genes and antigens

Detail

  • Operation: Protein structural motif recognition

  • Software interface: Web user interface

  • Language: -

  • License: Other

  • Cost: Free

  • Version name: -

  • Credit: The European Union Seventh Framework Programme FP7-2007–2013, the National Institute of Allergy and Infectious Diseases.

  • Input: -

  • Output: -

  • Contact: Morten Nielsen mniel@cbs.dtu.dk, webmaster@cbs.dtu.dk, Massimo Andreatta massimo@cbs.dtu.dk

  • Collection: -

  • Maturity: -

Publications

  • NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions
  • Nielsen M, Andreatta M. NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions. Nucleic Acids Res. 2017 Jul 3;45(W1):W344-W349. doi: 10.1093/nar/gkx276. PMID: 28407117; PMCID: PMC5570195.
  • https://doi.org/10.1093/nar/gkx276
  • PMID: 28407117
  • PMC: PMC5570195
  • NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data.
  • Andreatta M, Schafer-Nielsen C, Lund O, Buus S, Nielsen M. NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data. PLoS One. 2011;6(11):e26781. doi: 10.1371/journal.pone.0026781. Epub 2011 Nov 2. PMID: 22073191; PMCID: PMC3206854.
  • https://doi.org/10.1371/journal.pone.0026781
  • PMID: 22073191
  • PMC: PMC3206854

Download and documentation

    Currently not available or not maintained.

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