The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review.

Journal: Current drug metabolism
Published Date: Jan 1, 2019

Abstract

BACKGROUND: Cell-penetrating Peptides (CPPs) are important short peptides that facilitate cellular intake or uptake of various molecules. CPPs can transport drug molecules through the plasma membrane and send these molecules to different cellular organelles. Thus, CPP identification and related mechanisms have been extensively explored. In order to reveal the penetration mechanisms of a large number of CPPs, it is necessary to develop convenient and fast methods for CPPs identification.

Authors

  • Huan-Huan Wei
    Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Wuritu Yang
    Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Hua Tang
    Chongqing Institute for Food and Drug Control, Chongqing 401121, China.
  • Hao Lin
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.

Keywords

External Resources

Popular Topics
Recent Journals