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July 22, 2024: NPS@ updated (see NEWS).

July 25 17h00 (Paris Time) - July 26 12h00 (Paris Time): NPS@ service interruption.

A brief introduction to MLRC
MLRC (Multivariate Linear Regression Combination) is a secondary structure prediction method which combines GOR4, SIMPA96 and SOPMA. It post-processes the outputs of protein secondary structure prediction methods and generates class posterior probability estimates. Experimental results establish that it can increase the recognition rate of methods that provide inhomogeneous scores, even if their individual prediction successes are largely different
Warning : It can be long to compute. So, be careful when using it in alignment (or it will exceed the NPS@'s maximum computing time).
NPS@ is the original server for this method.

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@ MLRC 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 summarize the prediction, the second contains the score curve for each predicted state
• links on the prediction result text file and intermediate result text files

References

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