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Most tools available for the prediction of linear B cell epitopes use propensity scale methods.
The Parker propensity scale [83] is used to find B cell epitopes in a generic antigenic sequence.
This study was specifically designed to measure and analyze a comprehensive set of sexual behaviors by applying a behavioral risk propensity scale developed to assess risk compensation in circumcised versus uncircumcised men participating in the circumcision trial in Kenya.
Using item response theory [17], [18], we developed an 18-item behavioral risk propensity scale to capture specific behaviors and practices that men reportedly engaged in with each partner discussed in their sexual histories (for up to 12 partners).
The authors argue that a "turn propensity scale" is predictive.
We found the strongest correlation with a 'TM turn propensity' scale (Monné et al., 1999a, 1999b).
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The region was selected based on alignments and propensity scales.
It turns out that the propensity scales of Parker (based on hydrophilicity) [83].
Propensity scales have been developed based on antigenicity, hydrophilicity, inverted hydrophobicity, accessibility, and secondary structure.
In that study, it was shown that the Naive Bayes classifier trained using PSSM profiles significantly outperformed the propensity scale-based methods and simple binary encoding with SVM in predicting protective linear B-cell epitopes.
Blythe and Flower tested 484 amino acid propensity scales on a set of 50 epitope-mapped proteins.
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