3 million peptide sequences

The "3 million peptide sequences" dataset contains a large collection of peptide sequences used to evaluate the effectiveness of quantum autoencoders in various peptide classification tasks.

Papers using 3 million peptide sequences (1)

Quantum Autoencoder: An efficient approach to quantum feature map generation2025