Table 1.

Coefficients of network metrics in two multiple regression models

Binding (linear regression)	HLA attributes
	Variable	${\alpha }_b$	${\beta }_{HL{A}_{\mathit{degree}}}$	${\beta }_{HL{A}_{\mathit{closeness}}}$	${\beta }_{HL{A}_{\mathit{betweeness}}}$	${\beta }_{HL{A}_{\mathit{eigenvector}}}$
	coefficient	0.281	− 0.048	0.095	0.02	0.003
	Peptide attributes
	Variable		${\beta }_{PE{P}_{\mathit{degree}}}$	${\beta }_{PE{P}_{\mathit{closeness}}}$	${\beta }_{PE{P}_{\mathit{betweeness}}}$	${\beta }_{{\mathit{PEP}}_{\mathit{eigenvector}}}$
	Coefficient		− 0.044	− 0.173	− 0.003	0.05
Immunogenic (logistic regression)	HLA attributes
	Variable	${\alpha }_i$	${\gamma }_{HL{A}_{\mathit{degree}}}$	${\gamma }_{HL{A}_{\mathit{closeness}}}$	${\gamma }_{H{\mathit{LA}}_{\mathit{betweeness}}}$	${\gamma }_{HL{A}_{\mathit{eigenvector}}}$
	Coefficient	1.914	5.241	− 1.878	− 4.083	− 2.242
	Peptide attributes
	Variable		${\gamma }_{PE{P}_{\mathit{degree}}}$	${\gamma }_{PE{P}_{\mathit{closeness}}}$	${\gamma }_{PE{P}_{\mathit{betweeness}}}$	${\gamma }_{{\mathit{PEP}}_{\mathit{eigenvector}}}$
	Coefficient		− 0.429	3.791	0.092	− 1.022