TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.

Journal: BMC medical genomics
Published Date:

Abstract

BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a significant role in essential cellular processes including immunity regulation, hematopoiesis, and inflammation. As one important family of cytokines, tumor necrosis factors have association with the regulation of a various biological processes such as proliferation and differentiation of cells, apoptosis, lipid metabolism, and coagulation. The implication of these cytokines can also be seen in various diseases such as insulin resistance, autoimmune diseases, and cancer. Considering the interdependence between this kind of cytokine and others, classifying tumor necrosis factors from other cytokines is a challenge for biological scientists.

Authors

  • Trinh-Trung-Duong Nguyen
    Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, 32003, Taiwan.
  • Nguyen-Quoc-Khanh Le
    Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, 32003, Taiwan. Electronic address: khanhlee87@gmail.com.
  • Quang-Thai Ho
    Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, 32003, Taiwan. Electronic address: hoquangthaiholy@gmail.com.
  • Dinh-Van Phan
    Department of Information Management, Yuan Ze University, Taoyuan, ROC.
  • Yu-Yen Ou
    Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, 32003, Taiwan. Electronic address: yien@saturn.yzu.edu.tw.