NORSnet can distinguish between very long contiguous segments with
non-regular secondary structure (NORS regions) and well-folded proteins.
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NORSnet was trained on predicted information rather than on experimental data.
This allows NORSnet to reach into regions in sequence space that are not
covered by specialized disorder predictors. One disadvantage of this approach
is that it is not optimal for the identification of the "average" disordered
region.
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NORSnet takes the following input, further described on norsnet(1):
* a protein sequence in a FASTA file
* secondary structure and solvent accessibility prediction by prof(1)
* an HSSP file
* flexible/rigid residues prediction by profbval(1)
Installed Size: 213.0 kB
Architectures: all