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

EMBRACE, molecular structure, protein structure, Quality assessment

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

• «Previous Post
• Next Post »

---