Author

Hiroto Anbo

Observed name: アンボ, ヒロト

Institution: Maebashi Institute of Technology

Observed institution: Maebashi Institute of Technology

ORCID: 0000-0003-0408-0901

Observed ORCID: 0000-0003-0408-0901

OpenAlex ID: A5059827489

Classification of proteins inducing liquid–liquid phase separation: sequential, structural and functional characterization

2022 · Yuhei Ozawa, Hiroto Anbo, et al. · The Journal of Biochemistry · 22

Functional Segments on Intrinsically Disordered Regions in Disease-Related Proteins

2019 · Hiroto Anbo, Masaya Sato, et al. · Biomolecules · 20

Both Intrinsically Disordered Regions and Structural Domains Evolve Rapidly in Immune-Related Mammalian Proteins

2018 · Keiichi Homma, Hiroto Anbo, et al. · International Journal of Molecular Sciences · 7

How AlphaFold2 Predicts Conditionally Folding Regions Annotated in an Intrinsically Disordered Protein Database, IDEAL

2023 · Hiroto Anbo, Koya Sakuma, et al. · Biology · 6

NeProc predicts binding segments in intrinsically disordered regions without learning binding region sequences

2020 · Hiroto Anbo, Hiroki Amagai, et al. · Biophysics and Physicobiology · 4

Exon Elongation Added Intrinsically Disordered Regions to the Encoded Proteins and Facilitated the Emergence of the Last Eukaryotic Common Ancestor

2022 · Satoshi Fukuchi, Tamotsu Noguchi, et al. · Molecular Biology and Evolution · 2

Longer internal exons tend to have more tandem repeats and more frequently experience insertions and deletions

2025 · Keiichi Homma, Hiroto Anbo, et al. · Life Science Alliance · 1

Neuronal stop-codon readthrough is associated with ribosome pausing and appends lineage-restricted extensions that can alter protein localization in Drosophila

2026 · Takashi Makino, Koya Sakuma, et al. · bioRxiv (Cold Spring Harbor Laboratory)

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions

2025 · Itsuki Shimizu, Takuya Ida, et al. · PeerJ Computer Science

Computational Methods to Predict Intrinsically Disordered Regions and Functional Regions in Them

2023 · Hiroto Anbo, Motonori Ota, et al. · Methods in molecular biology

機械学習を用いた天然変性領域中の機能部位予測法の研究

2021 · アンボ, ヒロト, 安保, 勲人 · Institutional Repositories DataBase (IRDB)

Prediction of functional sites in intrinsically disorder regions by the machine learning methods.

2017 · Hiroto Anbo, Hiroki Amagai, et al. · The Japanese Biochemical Society/The Molecular Biology Society of Japan

Inference of functional fragments in intrinsically disordered regions - an application of secondary structure prediction.

2016 · Kei Muramatsu, Hiroto Anbo, et al. · The Molecular Biology Society of Japan

Works count: 13

Citation count: 62

H-index: 4

I10-index: 2