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NNAlign - 2.1

Discovering sequence motifs in biological sequences

The NNAlign server allows generating artificial neural network models of receptor-ligand interactions. The program takes as input a set of ligand sequences with target values; it returns a sequence alignment, a binding motif of the interaction, and a model that can be used to scan for occurrences of the motif in other sequences.
Visit the links on the pink bar below to read detailed instructions and guidelines, see output formats, or download the code.

New in version 2.0/2.1:

  • Custom alphabet, extends applications to DNA/RNA sequences, or peptide data with PTMs.
  • Insertions and deletions in the sequence alignment
  • Encoding of receptor pseudo-sequence, enabling the generation of "pan-specific" methods



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