Modeling the QSAR of ACE-Inhibitory Peptides with ANN and Its Applied Illustration

Table 4

The neurons weights from input layer to hidden layer.

Neurons	𝑍^∗11	Z 12	Z 13	Z 21	Z 22	Z 23
(1)	−0.3515	0.28331	0.28286	−0.44043	0.037431	−0.085447
(2)	0.27249	0.041643	−0.9822	−0.087255	0.47412	−0.18318
(3)	0.57416	−0.14092	0.60775	−0.08924	0.11108	−0.5922
(4)	0.24392	0.21597	−0.20115	0.24221	−0.07429	−0.54316
(5)	0.23817	0.07212	0.68217	−0.00285	0.26846	−0.47522
(6)	−0.30588	0.21639	0.036361	−0.41676^†	−0.2514^‡	−0.23479
(7)	−0.090315	−0.058403	0.0745	−0.32458^†	−0.24483^‡	−0.10795

* 𝑍_𝑚𝑛 the first number (m) behind Z represents the sequence of the amino acid in peptide, and the second number (from 1 to 3) represents the hydrophilicity of amino acids, three-dimensional shape, size, and electrical parameters, respectively.