Пакунок: norsnet (1.0.17-4)

[ Source: norsnet  ]

tool to identify unstructured loops in proteins

NORSnet can distinguish between very long contiguous segments with non-regular secondary structure (NORS regions) and well-folded proteins.

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.

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)

Інші пакунки пов'язані з norsnet

• dep: profnet-norsnet

  neural network architecture for norsnet

• rec: blast2

  transitional dummy package to ncbi-blast+-legacy

• rec: librg-utils-perl

  parsers and format conversion utilities used by (e.g.) profphd

• rec: profbval

  predictor of flexible/rigid protein residues from sequence

• rec: profphd

  secondary structure and solvent accessibility predictor

• sug: pp-popularity-contest

  PredictProtein popularity contest

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