Paketti: norsnet (1.0.17-6)

[ 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)

Muut pakettiin norsnet liittyvät paketit

• dep: profnet-norsnet

  neural network architecture for norsnet

• rec: blast2

  Paketti ei saatavilla

• 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

  Paketti ei saatavilla

• sug: pp-popularity-contest

  PredictProtein popularity contest

Imuroi norsnet

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
all	43.3 kt	214.0 kt	[tiedostoluettelo]