Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy.

Journal: Frontiers in bioscience (Landmark edition)
PMID: 35345316

Abstract

BACKGROUND: Lipocalin belongs to the calcyin family, and its sequence length is generally between 165 and 200 residues. They are mainly stable and multifunctional extracellular proteins. Lipocalin plays an important role in several stress responses and allergic inflammations. Because the accurate identification of lipocalins could provide significant evidences for the study of their function, it is necessary to develop a machine learning-based model to recognize lipocalin.

Authors

  • Hasan Zulfiqar
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.
  • Zahoor Ahmed
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.
  • Cai-Yi Ma
    School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, China.
  • Rida Sarwar Khan
    School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, China.
  • Bakanina Kissanga Grace-Mercure
    School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, China.
  • Xiao-Long Yu
    School of Materials Science and Engineering, Hainan University, 570228 Haikou, Hainan, China.
  • Zhao-Yue Zhang
    Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.

Keywords

External Resources

Popular Topics
Recent Journals