LIAO, JUN

Release date:2016-06-06  Release:

LIAO, JUN, Ph.D.

OFFICE ADDRESS:    School of Science, Department of Information Science and Information System

China Pharmaceutical University

639 Longmian St, Room 413 Lab A

Tel: (+86) 13952040425|Email:liaojun@cpu.edu.cn



SUMMARY

Computer Application science, laboratory information management systems, trust model of ad hoc networks, pharmacy informatics, pharmacy database construction, pharmaceutical information data mining, especially in pharmacokinetic modeling and forecasting



TECHNICAL EXPERTISE


  • Adverse drug reaction database design, data mining of adverse drug reactions signals. Adverse reactions signal data Discovery and Evaluation

  • Gene Expression Programming and predictive models research based on drug interaction database

  • Physiologically based pharmacokinetic model with Gene Expression Programming to predict drug interactions, PBPK model

  • Research on Methods of Security Detection and Trust Evaluation Mechanisms in Mobile Ad Hoc Networks

  • Development laboratory management information system based on RFID


PROFESSIONAL EXPERIENCE

Associate professor of Information Science and Information System, School of Science

2013 – present

  • Discovery and Evaluation of adverse drug reactions (ADR) signal data

  • Gene Expression Programming and predictive models research based on drug interaction database

  • On the basis of the establishment of database on drug interactions, purification and transformation of data. the key is to adopt a new machine learning methods , has been validated by the compatibility of drugs commonly used in clinical pharmacokinetic interactions and pharmacodynamics data to find rules, and uses new drugs data or conclusions to predict interactions, to establish a suitable transport proteins inhibition prediction model about status of CYP450 enzymes and effects of new drugs and known drugs, and fitting, and then verified by in vivo pharmacokinetics.

  • Physiologically based pharmacokinetic model with Gene Expression Programming to predict drug interactions, PBPK model                                                                                                                            

  • Explore new physiologically based pharmacokinetic model for physiological parameters and pharmacokinetic parameters.

  • The use of mining function of the physiological pharmacokinetics evolving model.

  • Using innovative method to establish evolution of physiologically based pharmacokinetic evolving model.


Research Projects

  1. Studies on Drug-drug interactions database of Gene Expression Programming and Prediction Model

Foundation: The Fundamental Research Funds for the Central Universities  2014.1



  1. Hepatic injury and the function or change of the expression of ABC transporter P-GP and MRP2 in blood brain barrier as well as their influence on drugs in brain

Foundation: National Natural Science Foundation of China (Grant No.81373482)2014.1-2017.12



  1. The study of capillary electrophoresis chiral resolution based on ion liquid

Foundation: National Natural Science Foundation of China (Grant No.81373378)2014.1-2017.12



4. The anti-diabetes effect and its mechanism of panoxadiol type saponin based on GLP-1 released adjustment

Foundation: National Natural Science Foundation of China (Grant No.81102503)2012.1-2014.12



5. The function and change of expressional tissue specificity of ABC transporter p-glycoprotein in diabetes as well as its influence on drugs in vivo

Foundation: National Natural Science Foundation of China (Grant No.81072693)2011.1-2013-12

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