Investigation and identification of protein γ-glutamyl carboxylation sites

BMC Bioinformatics

Table 2 Cross-validation performance of the predictive models trained with various features.

Training features	Pre	Sn	Sp	Acc	MCC
Positional Weighted Matrix of flanking Amino Acids (AA_PWM)	0.735	0.817	0.843	0.834	0.646
Amino Acid Composition (AAC)	0.696	0.798	0.814	0.808	0.596
Accessible Surface Area (ASA)	0.672	0.768	0.800	0.789	0.553
Secondary structure (SS)	0.580	0.718	0.723	0.721	0.424
AA_PWM + AAC	0.738	0.814	0.846	0.835	0.647
AA_PWM + ASA	0.781	0.831	0.876	0.860	0.698
AA_PWM + SS	0.709	0.791	0.827	0.814	0.604
AA_PWM + AAC + ASA	0.836	0.860	0.910	0.892	0.765
AA_PWM + AAC + SS	0.711	0.801	0.827	0.818	0.613
AA_PWM + AAC + ASA + SS	0.812	0.860	0.894	0.882	0.745

Abbreviation: Pre, precision; Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Matthews Correlation Coefficient.

ISSN: 1471-2105