Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.

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Bibliographic Details
Title: Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.
Authors: Montoya AL; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Hogendorf AS; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Tingey S; Waterford School 1480 E 9400 S Sandy UT 84093 USA., Kuberan A; West High School 241 N 300 W Salt Lake City UT 84103 USA., Yuen LH; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Schüler H; Center for Molecular Protein Science, Department of Chemistry, Lund University Lund 22100 Sweden., Franzini RM; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.; Huntsman Cancer Institute, University of Utah 2000 Circle of Hope Salt Lake City UT 84054 USA.
Source: Chemical science [Chem Sci] 2025 May 09; Vol. 16 (24), pp. 10918-10927. Date of Electronic Publication: 2025 May 09 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101545951 Publication Model: eCollection Cited Medium: Print ISSN: 2041-6520 (Print) Linking ISSN: 20416520 NLM ISO Abbreviation: Chem Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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