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Computational identification of novel therapeutic candidates for Streptococcus pyogenes and influenza A coinfections through transcriptomic-based drug repositioning.

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Bibliographic Details
Title: Computational identification of novel therapeutic candidates for Streptococcus pyogenes and influenza A coinfections through transcriptomic-based drug repositioning.
Authors: Strey K; Institute of Medical Microbiology, Virology and Hygiene (IMIKRO), Rostock University Medical Center, Rostock, Germany., Sueto S; Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, Rostock, Germany., Fuellen G; Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, Rostock, Germany., Kreikemeyer B; Institute of Medical Microbiology, Virology and Hygiene (IMIKRO), Rostock University Medical Center, Rostock, Germany., Patenge N; Institute of Medical Microbiology, Virology and Hygiene (IMIKRO), Rostock University Medical Center, Rostock, Germany., Barrantes I; Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, Rostock, Germany. israel.barrantes@uni-rostock.de.
Source: BMC microbiology [BMC Microbiol] 2026 Apr 23; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 23.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100966981 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2180 (Electronic) Linking ISSN: 14712180 NLM ISO Abbreviation: BMC Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2180
DOI:10.1186/s12866-026-05063-y