Masaaki Kotera

Preferred Networks (Japan) — Japan

Computer Science · Physical Sciences

24h-index2.4kcitations83works13.52yr avg
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Research Topics

Computational Drug Discovery Methods(32), Microbial Metabolic Engineering and Bioproduction(27), Metabolomics and Mass Spectrometry Studies(16), Bioinformatics and Genomic Networks(15), Plant biochemistry and biosynthesis(10)

Publications83 total

GenerRNA: A generative pre-trained language model for de novo RNA design
PLoS ONE·2024· 23 citedOpen Access
GenerRNA: A generative pre-trained language model for <i>de novo</i> RNA design
2024· 4 citedOpen Access
Swallowtail butterflies' initial stage of speciation is influenced by adaptation to plant-defensive substances
Research Square (Research Square)·2023Open Access
Recipe Recommendation for Balancing Ingredient Preference and Daily Nutrients
2022· 3 cited
Multimodal Dish Pairing
2022· 2 cited
Fast Estimation Method for the Stability of Ensemble Feature Selectors
arXiv (Cornell University)·2021Open Access
Dry Etching Damage and Alloy Composition Analysis of GaN-Based Semiconductors Using Electron Energy-Loss Spectroscopy
Journal of Electronic Materials·2021· 1 cited
Improvement of the Structure Generator DAECS with Respect to Structural Diversity
Molecular Informatics·2020· 3 cited
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
arXiv (Cornell University)·2020· 4 citedOpen Access
Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
Journal of Cheminformatics·2020· 78 citedOpen Access
BioHackathon 2015: Semantics of data for life sciences and reproducible research
F1000Research·2020· 6 citedOpen Access
Additional file 3 of Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
Figshare·2020Open Access
Additional file 2 of Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
Figshare·2020Open Access
Additional file 4 of Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
Figshare·2020Open Access
Metabolic disassembler for understanding and predicting the biosynthetic units of natural products
BMC Bioinformatics·2019· 2 citedOpen Access
A new evolution aspect from the network analysis of butterfly-plant-compound
The Molecular Biology Society of Japan·2019
Allylic hydroxylation of triterpenoids by a plant cytochrome P450 triggers key chemical transformations that produce a variety of bitter compounds
Journal of Biological Chemistry·2019· 22 citedOpen Access
BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services
F1000Research·2019· 1 citedOpen Access
Novel Electrotopological Atomic Descriptors for the Prediction of Xenobiotic Cytochrome P450 Reactions
Molecular Informatics·2019· 3 cited
KPHMMER: Hidden Markov Model generator for detecting KEGG PATHWAY-specific genes
2019Open Access
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Frequent Co-authors

Susumu Goto(24), Yoshihiro Yamanishi(17), Minoru Kanehisa(17), Toshiaki Tokimatsu(12), Yuki Moriya(8), Yasuo Tabei(8), Ryusuke Sawada(5), Masahiro Hattori(4), Kimito Funatsu(4), Masataka Takarabe(3), Yosuke Nishimura(3), Ai Muto(3), Zenichi Nakagawa(3), Kenichi Tanaka(3), Hiroaki Iwata(3), Shin Kawano(3), Issaku Yamada(3), Toshiaki Katayama(3), Shuichi Kawashima(3), Shujiro Okuda(3)