A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.

Journal: Current computer-aided drug design
Published Date: Jan 1, 2019

Abstract

INTRODUCTION: Machine Learning is a useful tool for the prediction of cell-penetration compounds as drug candidates.

Authors

  • Jihui Tang
    School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China.
  • Jie Ning
    Department of Oncology, The First Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
  • Xiaoyan Liu
    College of Information Technology, Jilin Agricultural University, Changchun, China.
  • Baoming Wu
    School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China.
  • Rongfeng Hu
    Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui Province Key Laboratory of R&D of Chinese Medicine, Anhui University of Chinese Medicine, Anhui "115" Xin'an Medicine Research & Development Innovation Team, Hefei 230038, China.

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