Manato Akiyama

RNA secondary structure prediction using deep learning with thermodynamic integration

Kengo Sato, Manato Akiyama, Yasubumi Sakakibara · Nature Communications · 2021 · 462 citations · Full text

Informative RNA base embedding for RNA structural alignment and clustering by deep representation learning

Manato Akiyama, Yasubumi Sakakibara · NAR Genomics and Bioinformatics · 2022 · 122 citations · Full text

Variational autoencoder-based chemical latent space for large molecular structures with 3D complexity

Toshiki Ochiai, Tensei Inukai, Manato Akiyama et al. · Communications Chemistry · 2023 · 73 citations · Full text

A max-margin training of RNA secondary structure prediction integrated with the thermodynamic model

Manato Akiyama, Kengo Sato, Yasubumi Sakakibara · Journal of Bioinformatics and Computational Biology · 2018 · 55 citations

RNA secondary structure prediction using deep learning with thermodynamic integration

Kengo Sato, Manato Akiyama, Yasubumi Sakakibara · 2020 · 15 citations · Full text

Engineering, Machine Learning, Structural Bioinformatics +18