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Table 3 Generation Performances of different network architectures

From: In silico design of MHC class I high binding affinity peptides through motifs activation map

Model

high-affinity rate

2CNN + GAP

0.756

1CNN + GAP

0.813

2CNN + muti-GAP

0.859

3CNN + GAP

0.481

random data

0.05

  1. The dataset is HLA-A*0201. Except for the random data model, all the model is a variety of MAM network. High-affinity rate denotes the fraction of peptides with high affinity in all the generated peptide. Random data is to create data randomly at all sites. GAP stands for global averaging pooling. “A CNN + B GAP” represents A numbers of CNN layer and B numbers of Global Pooling Layer in the feature extraction part. All the definitions we mentioned are the same
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BMC Bioinformatics

ISSN: 1471-2105

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