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July 30, 2024: NPS@ updated (see NEWS).
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 :
Parameters
No parameter required.
NPS@ MLRC output example
You can see:
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