Woong‐Hee Shin
Computer Science · Purdue University West Lafayette
Publications
97
Citations
1,830
Est. group size
~1
Recurring co-author estimate
Active years
16
Publishing since 2011
Woong-Hee Shin works on computational methods for drug discovery, particularly structure-based approaches for predicting how small molecules and peptides interact with proteins and other biomolecules. Recent work combines physics-based modeling with machine learning and AI (such as protein/ligand language models and AlphaFold-based structure prediction) to improve virtual screening, docking, and binding-site prediction, with applications including kinase inhibitors, BACE1 inhibitors relevant to neurodegeneration, and cancer-related drug targets.
Publication output has fluctuated over the last decade but shows a recent increase, with notably higher counts in 2024 and 2026 compared to earlier years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Peptide–protein docking: from physics-based models to generative intelligence
Chemical Communications · 2026
- PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptors
Journal of Cheminformatics · 2026
- KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- BPS2026 – Utilizing AlphaFold2 multi-state modeling for improving structure-based drug discovery
Biophysical Journal · 2026
- Exploring the Impact of <i>RNU4‐2</i> Defects on Neurodevelopmental Disorders in a Korean Population
Clinical Genetics · 2026
- MOZAIC: Compound Growth via <i>In Silico</i> Reactions and Global Optimization using Conformational Space Annealing
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Author response for "Peptide–Protein Docking: From Physics-Based Models to Generative Intelligence"
2026
- Docking of millions: accelerating a million-scale virtual screening using deep learning
Briefings in Bioinformatics · 2026
- Functional impact of the ATP1A3-p.A813V variant: insights into a calcium-driven hyperexcitability cascade in rapid-onset dystonia-Parkinsonism
Journal of Translational Medicine · 2026
- KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening
Bioinformatics · 2026
- Ameliorative Effects of a Naphthoquinone Derivative With β‐Amyloid Aggregation Inhibitory Activity on Cognitive Impairment and Metabolite Analysis of the Blood and Brains of Mice
Drug Development Research · 2026
- From part to whole: AI-driven progress in fragment-based drug discovery
Current Opinion in Structural Biology · 2025
- A stilbenoid, rhapontigenin, isolated from the root of Rheum palmatum L. acts as a potent BACE1 inhibitor
Fitoterapia · 2025
- Potent BACE1 inhibitory and neuroprotective activities of three lignans, styraxlignolide A, masutakeside I, and egonol, isolated from Styrax japonica
Fitoterapia · 2025
- Farnesiferol B and Kamolonol Isolated from Ferula assa-foetida are Potent BACE1 Inhibitors with Neuroprotective Effects
Planta Medica · 2025
- bioRxiv (Cold Spring Harbor Laboratory)×8
- Zenodo (CERN European Organization for Nuclear Research)×8
- Proteins Structure Function and Bioinformatics×5
- Scientific Reports×5
- eLife×4
- Xiang Liu
Computer Science · Purdue University West Lafayette
- Jianwen Chen
Computer Science · The Ohio State University
- Anton V. Sinitskiy
Computer Science · Purdue University West Lafayette
- Samy O. Meroueh
Computer Science · Indiana University
- Yu‐Chen Yen
Computer Science · 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