ProQ

By | September 22, 2011

ProQ is a neural network based predictor that based on a number of structural features predicts the quality of a protein model. ProQ is optimized to find correct models in contrast to other methods which are optimized to find native structures. Two quality measures are predicited LGscore and MaxSub.

LGscore is -log of a P-value and MaxSub ranges from 0-1, were 0 is insignificant and 1 very significant.

Different ranges of quality:

Correct
LGscore > 1.5
MaxSub > 0.1

Good
LGscore > 3
MaxSub > 0.5

Very good
LGscore > 5
MaxSub > 0.8

Name
ProQ
Documentation
http://www.sbc.su.se/~bjornw/ProQ/ProQ.html
Protocol
SOAP
WSDL
Endpoint
http://wsdl.sbc.su.se/cgi-bin/proq.cgi
Topic
Protein Structure Prediction
Type
Analysis
Tags
, , ,
Description

ProQ is a neural network based predictor that based on a number of structural features predicts the quality of a [...]

Further information

ProQ is a neural network based predictor that based on a number of structural features predicts the quality of a protein model. ProQ is optimized to find correct models in contrast to other methods which are optimized to find native structures. Two quality measures are predicited LGscore and MaxSub.

LGscore is -log of a P-value and MaxSub ranges from 0-1, were 0 is insignificant and 1 very significant.

Different ranges of quality:

Correct
LGscore > 1.5
MaxSub > 0.1

Good
LGscore > 3
MaxSub > 0.5

Very good
LGscore > 5
MaxSub > 0.8

Original source
BioCatalogue

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