ArticleJournal of chemical information and modeling2026
Advancing Biochemical Molecule Registration, Representation and Search for New Drug Modalities.
Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
16 authors.
Funding
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Abstract
The pharmaceutical industry's shift toward new drug modalities, including therapeutic peptides, modified oligonucleotides, and antibody-drug conjugates, has exposed fundamental gaps in cheminformatics infrastructure. Unlike small molecules, which benefit from mature representation standards and reliable data exchange, new modalities lack robust and interoperable systems capable of capturing their structural and chemical complexity. Drawing on our experience at AstraZeneca, we examine these challenges across peptides, oligonucleotides, and ADCs, focusing on the limitations of current approaches, particularly HELM. We show that these limitations arise from both technical constraints, as new modalities exceed the scope of purely atomistic or sequence-based representations, and organizational gaps, including unresolved standardization and governance. We argue that local solutions exacerbate fragmentation, and that vendor- and community-driven standards, open implementations, and stronger governance are required to enable standardized and interoperable chemical information systems for next-generation therapeutics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.