sRNAdeep: a novel tool for bacterial sRNA prediction based on DistilBERT encoding mode and deep learning algorithms.

Journal: BMC genomics
PMID: 39482572

Abstract

BACKGROUND: Bacterial small regulatory RNA (sRNA) plays a crucial role in cell metabolism and could be used as a new potential drug target in the treatment of pathogen-induced disease. However, experimental methods for identifying sRNAs still require a large investment of human and material resources.

Authors

  • Weiye Qian
    School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, P.R. China.
  • Jiawei Sun
    Department of Bioengineering, Stanford University, CA, 94305, USA.
  • Tianyi Liu
    Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
  • Zhiyuan Yang
    College of Life Information Science & Instrument Engineering , Hangzhou Dianzi University , Hangzhou 310018 , China.
  • Stephen Kwok-Wing Tsui
    School of Biomedical Sciences , The Chinese University of Hong Kong , Shatin , N.T. , Hong Kong.

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