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Author

Idil Ismail

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Open access Oct 2026

SureChEMBL in 2026: an open database of chemical and biomedical annotations from the patent literature.

The patent literature is a major source of scientific and technical information for drug discovery, often disclosing chemical structures, biological targets, therapeutic indications, and structure-activity relationships before they appear in the scientific literature. However, patent documents are difficult to analyse...

Nicolas Bosc, Tevfik Kizilören, Eloy Félix et al. · 0 citations
Review Open access Jul 2026

Yield Smarter, Not Harder: Good Practices for Machine Learning of Reaction Outcomes

Compared to conventional expectations, it is found that simpler models with interpretable features can achieve competitive performance under rigorous validation protocols and should become a requirement for future ML studies for reaction-yield prediction.

Idil Ismail, Gregory A Landrum, Sereina Riniker · 0 citations

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