Tonglei Li
Materials Science · Purdue University West Lafayette
Publications
307
Citations
5,203
Est. group size
~6
Recurring co-author estimate
Active years
45
Publishing since 1982
Tonglei Li's research focuses on pharmaceutical materials science, particularly how drug molecules crystallize, dissolve, and are delivered in the body. Recent work combines traditional crystallography and solubility studies with computational and machine learning approaches to predict drug behavior, such as how molecules bind proteins, cross the blood-brain barrier, or cause liver toxicity. The group also studies drug delivery systems including nanoparticles, lipid nanoparticles, and long-acting injectable formulations.
Publication output has fluctuated over the past decade, peaking around 2018 and 2021, but has generally slowed in the most recent years (2023-2025) compared to earlier peaks.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Multiscale Dissolution Simulation of Particles from a Tablet in Dissolution Apparatus by Coupling Discrete Element with Lattice Boltzmann Methods
Pharmaceutical Research · 2026
- Machine Learning Prediction of Protein Adsorption on Drug-delivering Nanoparticles: A Literature Survey and Need for Future Development
Pharmaceutical Research · 2025
- Deep Learning of CYP450 Binding of Small Molecules by Quantum Information
Journal of Chemical Information and Modeling · 2025
- Critical quality attributes of lipid nanoparticles and in vivo fate
Asian Journal of Pharmaceutical Sciences · 2025
- Leveraging Model Master Files for Long-Acting Injectables
Pharmaceutical Research · 2025
- Manifold Embedding of Quantum Information as Molecule Representation to Predict Blood-Brain Barrier Permeability by Deep Learning
Molecular Pharmaceutics · 2025
- Correction: Leveraging Model Master Files for Long-Acting Injectables
Pharmaceutical Research · 2025
- Challenges and innovations in long-acting injectable formulations: can formulation design space be rationalized?
Journal of Pharmacy and Pharmacology · 2025
- Manifold Kernelization of Molecular Surface to Encode Quantum Information of Electronic Attributes for Machine Learning
Journal of Chemical Theory and Computation · 2025
- <scp>AI</scp> / <scp>ML</scp> in Translation: <scp>PhRMA</scp> Foundation Trainee Challenge Award
Clinical and Translational Science · 2025
- In vivo deposition of poorly soluble drugs
Advanced Drug Delivery Reviews · 2024
- Deep Learning Prediction of Drug-Induced Liver Toxicity by Manifold Embedding of Quantum Information of Drug Molecules
Pharmaceutical Research · 2024
- Bohemian Rhapsody of Future Drug Delivery Systems: Rational Changes Necessary for the Next Revolution
Molecular Pharmaceutics · 2024
- What matters for drug delivery to tumor by nanoparticles: Gaining insights from PBPK/PD simulation of drug nanocrystals
ADMET & DMPK · 2024
- A Perspective on Model-Informed IVIVC for Development of Subcutaneous Injectables
Pharmaceutical Research · 2023
- The Cambridge Structural Database×69
- Pharmaceutical Research×19
- Crystal Growth & Design×11
- CrystEngComm×8
- Molecular Pharmaceutics×6
- Mercy A. Okezue
Materials Science · Purdue University West Lafayette
- Diana Perales
Materials Science · Purdue University West Lafayette
- Curtis E. Moore
Materials Science · The Ohio State University
- Chun‐Hsing Chen
Materials Science · Indiana University
- Digamber Rane
Materials Science · The Ohio State University
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.
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