Directory Profile
Lianjin (Clement) CaiGraduate Student
Program: MS Track: PSP Advisor: Junmei Wang, PhD
Lianjin graduated from a joint Pharmacolgy B.S program of China Pharmaceutical University and University of Strathclyde and currently is a 2nd-year Master student in Pharmacometrics and System Pharmacology (PSP) track to study more computational modeling expertise in drug devlopment pipeline.
His research interest is mainly to apply integrative translational model-informed drug development (MIDD) approaches to inform drug development and optimize decision-making in Clinical Pharmacology. He is also intrigued by machine-learning techniques application in Pharmceutical field integrating various biomedical '-omics' data and Health Outcomes research.
He is engaged in integrating some useful in-silico predictive tools encompassing ADMET predictor, molecular dynamics (MD) modeling, Physiology-based Pharmacokinetics/Pharmacodynamics modeling (PBPK/PD), populational PK/PD methods, and Quantitative Systems Pharmacology (QSP) modalities to investigate opioids drug exposure and efficacy/addiction in special population using available non-clinical and clinical data.
1. Zhai, J., Ji, B., Liu, S., Zhang, Y., Cai, L., & Wang, J. (2022). In Silico Prediction of Pharmacokinetic Profile for Human Oral Drug Candidates Which Lack Clinical Pharmacokinetic Experiment Data. European Journal Of Drug Metabolism And Pharmacokinetics, 47(3), 403-417. doi: 10.1007/s13318-022-00758-9.
2. Zhai, J., Ji, B., Cai, L., Liu, S., Sun, Y., & Wang, J. (2022). Physiologically-Based Pharmacokinetics Modeling for Hydroxychloroquine as a Treatment for Malaria and Optimized Dosing Regimens for Different Populations. Journal Of Personalized Medicine, 12(5), 796. doi: 10.3390/jpm12050796.
3. Zhai, J., He, X., Man, V., Sun, Y., Ji, B., Cai, L., & Wang, J. (2022). A multiple-step in silico screening protocol to identify allosteric inhibitors of Spike–hACE2 binding. Physical Chemistry Chemical Physics, 24(7), 4305-4316. doi: 10.1039/d1cp04736a