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bioRxiv · 10.64898/2026.08.14.744991

ResLit: A Large-Scale Automated Literature Mining Database for Antimicrobial Resistance

Skoulakis, A.·Xiao, H.·Provatas, K. A.·Galaras, A.·Pavlopoulos, G. A.·Georgakopoulos-Soares, I.
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Abstract

Antimicrobial resistance generates a vast, rapidly growing literature, yet no resource offers a comprehensive, evidence-linked repository of AMR findings at scale. We present ResLit, an automated pipeline and public database that mines the AMR literature for resistance genes, mutations, organisms, and mechanisms. From 2 million candidate PubMed records, BioMistral-7B screened abstracts to 356,000 relevant papers; multi-tier retrieval yielded 117,000 full texts, from which Qwen3-30B performed two-step extraction. ResLit contains 3,120 genes and 13,593 mutations, cross-linked to CARD, ResFinder, and NCBI Reference Gene Catalog across four evidence tiers. It further supports community-driven curation of automated outputs and reference databases. Freely available at www.reslit.info.

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Skoulakis, A., Xiao, H., Provatas, K. A., Galaras, A., Pavlopoulos, G. A., Georgakopoulos-Soares, I.. 2026-08-21. ResLit: A Large-Scale Automated Literature Mining Database for Antimicrobial Resistance. https://doi.org/10.64898/2026.08.14.744991

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