MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory
Fig 3
Number of sequences vs. accuracy and information for methods of profile prediction.
(a)-(d) Number of sequences vs. accuracy for TEV, HCV, GrB, and HIV, respectively. Number of sequences is varied over 1-5-10-All experimentally derived sequences, which is different for each protease. (e)-(h) Number of sequences vs. information content (i.e. shape of profile) difference for TEV, HCV, GrB, and HIV, respectively. Information difference is equal to the predicted bits minus the experimental bits. An information difference that is close to zero approximates the experimental information content well; a highly positive information difference indicates a more peaked predicted than experimental profile while a highly negative information difference denotes a flatter predicted than experimental profile.