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April 24th, 2024: NPS@ updated (see NEWS).

A brief introduction to DSC
DSC (Discrimination of protein Secondary structure Class) is based on decomposing secondary structure prediction into the basic concepts and then use of simple and linear statistical methods to combine the concepts for prediction. This makes the prediction method comprehensible and allows the relative importance of the different sources of information used to be measured.
In NPS@, we run BLASTP on UniPortKB at 50% identity, filter it and then run CLUSTALW. The resulting alignment is the input for DSC.

Availability in NPS@
This method is available :

• from a dedicated page
• in secondary structure prediction consensus
• in protein multiple sequence alignment:
  • KALIGN
  • MAFFT
  • MSUCLE
• when you work with a sequence in NPS@ if you make a consensus secondary structure prediction on it

Parameters
No parameter required.

NPS@ DSC output example
You can see:

• the color coded prediction (a sequence line and below the corresponding predicted states)
• the sequence length
• the percentage of each secondary element
• two graphics, the first to summarize the prediction, the second contains score curve for each predicted state
• links to the prediction result text file and to intermediate result text files

References

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