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GPCRpred

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A support vector machine (SVM)-based method has been developed for predicting families and subfamilies of GPCRs from the dipeptide composition of proteins. The method classified GPCRs and non-GPCRs with an accuracy of 99.5% when evaluated using 5-fold cross-validation. The method is further able to predict five major classes or families of GPCRs with an overall Matthew's correlation coefficient (MCC) and accuracy of 0.81 and 97.5% respectively.

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GPCRpred classification

GPCRpred specifications

Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
Stability:
Stable

GPCRpred distribution

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No versioning.

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0 user reviews

No review has been posted.

GPCRpred forum

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No open topic.

GPCRpred classification

GPCRpred specifications

Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Stability:
Stable

Credits

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Publications

Institution(s)

Institute of Microbial Technology, Chandigarh, India

Link to literature

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