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Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation
Scientists from the Graduate School of Advanced Science and Engineering at Waseda University, Japan, developed RaptGen, a variational autoencoder for in silico aptamer generation. RaptGen takes advantage of a profile hidden Markov model decoder to address motif sequences efficiently. The model could accelerate nucleic-acid-based therapeutics. Nucleic acid aptamers are created by an in vitro molecular evolution…