Application of Machine Learning Technology in the Prediction of ADME- Related Pharmacokinetic Parameters.

Journal: Current medicinal chemistry
Published Date:

Abstract

BACKGROUND: As an important determinant in drug discovery, the accurate analysis and acquisition of pharmacokinetic parameters are very important for the clinical application of drugs. At present, the research and development of new drugs mainly obtain their pharmacokinetic parameters through data analysis, physiological model construction and other methods, but the results are often quite different from the actual situation, needing more manpower and material resources.

Authors

  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Yonghua Zhan
  • Changhu Liu
    Department of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
  • Wenhua Zhan
    Department of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China.