Daisuke Kihara
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
470
Citations
12,665
Est. group size
~36
Recurring co-author estimate
Active years
31
Publishing since 1996
Daisuke Kihara's research focuses on computational structural biology, developing machine learning and deep learning methods to interpret biomolecular structures, especially from cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET) data. His work includes building AI tools that automatically build atomic models of proteins and nucleic acids from experimental imaging data, as well as methods for evaluating the quality of predicted protein structures (such as those from AlphaFold) and predicting protein-protein interactions.
Publication output has grown substantially over the past decade, rising from about 20 papers per year in 2017 to a peak near 50 in 2021, and has remained steady at 34-39 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Ferritin iron uptake and oxidation are dynamically modulated by nucleotide phosphate architecture via electrostatic gating
International Journal of Biological Macromolecules · 2026
- DAQplugin: Deep Learning based Real-time Model Evaluation Plugin for ChimeraX
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- AI-based methods for biomolecular structure modeling for Cryo-EM
Current Opinion in Structural Biology · 2025
- Advancing structure modeling from cryo-EM maps with deep learning
Biochemical Society Transactions · 2025
- MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation
Knowledge-Based Systems · 2025
- Structural Insights and Functional Dynamics of β-Lactoglobulin Fibrils
Nano Letters · 2025
- CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology
GigaScience · 2025
- Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation
arXiv (Cornell University) · 2025
- DiffModeler: large macromolecular structure modeling for cryo-EM maps using a diffusion model
Nature Methods · 2024
- A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography
Molecular Biology and Evolution · 2024
- Twenty years of advances in prediction of nucleic acid-binding residues in protein sequences
Briefings in Bioinformatics · 2024
- Assessment of Protein–Protein Docking Models Using Deep Learning
Methods in molecular biology · 2024
- DiffModeler: Large Macromolecular Structure Modeling in Low-Resolution Cryo-EM Maps Using Diffusion Model
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- bioRxiv (Cold Spring Harbor Laboratory)×34
- Zenodo (CERN European Organization for Nuclear Research)×26
- Biophysical Journal×22
- Methods in molecular biology×18
- Faculty of 1000 Research Ltd×17
- Andrzej Kloczkowski
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Yuki Kagaya
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Jacob Verburgt
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Charles Christoffer
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Tunde Aderinwale
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile