AI-driven discovery in protein science for immunology and infectious disease research.

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Bibliographic Details
Title: AI-driven discovery in protein science for immunology and infectious disease research.
Authors: Helmy M; Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada.; Vaccinology and Immunotherapeutics Program, School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada.; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.; Department of Computer Science, Idaho State University, Moscow, ID, United States.; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Shafei F; Bioscience Technology Program, Saskatchewan Polytechnic, Saskatoon, SK, Canada., Pellegrina D; Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada., Jin L; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada., Alhossary A; Chemistry Department, Wesleyan University, Middletown, CT, United States.; Pulse for Integrated Solutions GmbH, Unterschleißheim, Bavaria, Germany., Wilson HL; Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada.; Vaccinology and Immunotherapeutics Program, School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada.; Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada., Mansour T; Department of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.; Department of Clinical Pathology, College of Medicine, Mansoura University, Mansoura, Egypt., Selvarajoo K; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.; Synthetic Biology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.; Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore (NUS), Singapore, Singapore.; School of Biological Sciences, Nanyang Technological University (NTU), Singapore, Singapore.
Source: Frontiers in bioinformatics [Front Bioinform] 2026 Apr 13; Vol. 6, pp. 1760257. Date of Electronic Publication: 2026 Apr 13 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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