Multimodal deep learning for allergenic proteins prediction.

Journal: BMC biology
Published Date:

Abstract

BACKGROUND: Accurate prediction of allergens is essential for identifying the sources of allergic reactions and preventing future exposure to harmful triggers; however, the limited performance of current prediction tools hinders their practical applications.

Authors

  • Lezheng Yu
    School of Chemistry and Materials Science, Guizhou Education University, Guiyang 550018, China.
  • Yuxin Luo
    The Laboratory of Artificial Intelligence and Big Data in Ophthalmology, Affiliated Eye Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
  • Shiqi Wu
    School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Siyi Chen
    Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
  • Li Xue
    HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.
  • Runyu Jing
    College of Cybersecurity, Sichuan University, Chengdu 610065, China.
  • Jiesi Luo
    College of Chemistry, Sichuan University, Chengdu 610064, PR China.