Transformer-based deep learning enables improved B-cell epitope prediction in parasitic pathogens: A proof-of-concept study on Fasciola hepatica

• Rui-Si Hu,

  Roles Data curation, Formal analysis, Funding acquisition, Methodology, Software, Writing – original draft

  Affiliations School of Health and Wellness Industry & School of Medicine, Sichuan University of Arts and Science, Dazhou, Sichuan Province, People’s Republic of China, Key Laboratory of Intelligent Medicine and Health Data Science, Sichuan University of Arts and Science, Dazhou, Sichuan Province, People’s Republic of China

  https://orcid.org/0000-0003-0587-0542

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• Kui Gu ,

  Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

  * E-mail: gukui0404@cqut.edu.cn (KG) chunrenwang@sohu.com (CRW)

  Affiliation School of Pharmacy and Bioengineering, Chongqing University of Technology, Banan, Chongqing, People’s Republic of China

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• Muhammad Ehsan,

  Roles Data curation, Formal analysis, Writing – review & editing

  Affiliation Department of Parasitology, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Punjab, Pakistan

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• Sayed Haidar Abbas Raza,

  Roles Methodology, Software, Writing – review & editing

  Affiliation State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong Province, People’s Republic of China

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• Chun-Ren Wang

  Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

  * E-mail: gukui0404@cqut.edu.cn (KG) chunrenwang@sohu.com (CRW)

  Affiliation College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang Province, People’s Republic of China

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