Discovering sequence motifs in biological sequences
View the version history of this server.
All the previous versions are available online, for comparison and
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
NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions
Nielsen M, Andreatta M Nucleic Acids Research (2017) Apr 12. doi: 10.1093/nar/gkx276
This file was last modified Tuesday 29th 2019f January 2019 19:00:44 GMT