NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides.

Journal: BMC biology
Published Date: May 28, 2025

Abstract

BACKGROUND: Neuropeptides (NPs) are critical signaling molecules involved in various physiological and behavioral processes, including development, metabolism, and memory. They function within both the nervous and endocrine systems and have emerged as promising therapeutic targets for a range of diseases. Despite their significance, the accurate identification of NPs remains a challenge, necessitating the development of more effective computational approaches.

Authors

  • Hongqi Zhang
    China International Neuroscience Institute (China-INI), Beijing, China xwzhanghq@163.com qinlan@unionstrongtech.com.
  • Shanghua Liu
    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.
  • Wei Su
    Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
  • Xueqin Xie
    College of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
  • Junwen Yu
    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.
  • Fuying Dao
    School of Biological Sciences, Nanyang Technological University, Singapore 639798, Singapore.
  • Mi Yang
    Department of Neurology, School of Medicine, The Fourth Affiliated Hospital of Zhejiang University, Yiwu, China.
  • Hao Lyu
    Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
  • Hao Lin
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.

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