Evidence map›Paper›PMID 42402045›Full record

ArticleJournal of chemical information and modeling2026

Advancing Biochemical Molecule Registration, Representation and Search for New Drug Modalities.

Kevin Pinto-Gil, Leonardo De Maria, Anaïs F M Noisier, Susan Leung, Arthur Garon, Andrey Frolov, Sunay V Chankeshwara, Mattias Bood, Lars Brive, Nicholas P Tomkinson and 6 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Kevin Pinto-GilAugmented DMTA Platform, R&D IT, AstraZeneca, Avenue Roma 81, 08029Barcelona, Spain.ORCID 0000-0002-2768-7872
Leonardo De MariaMedicinal Chemistry R&I, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0000-0002-8061-4242
Anaïs F M NoisierMedicinal Chemistry CVRM, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0000-0002-6949-5764
Susan LeungAugmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.ORCID 0000-0003-0917-0332
Arthur GaronAugmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.ORCID 0000-0002-0991-789X
Andrey FrolovMedicinal Chemistry CVRM, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0000-0001-9801-3253
Sunay V ChankeshwaraMedicinal Chemistry R&I, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0000-0001-8886-170X
Mattias BoodDiscovery Sciences, Nucleic Acid Therapeutics, Biopharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0000-0003-1644-6915
Lars BriveAugmented DMTA Platform, R&D IT, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0009-0005-2976-4412
Nicholas P TomkinsonAugmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.
Daniel Alvarez-GarciaAugmented DMTA Platform, R&D IT, AstraZeneca, Avenue Roma 81, 08029Barcelona, Spain.ORCID 0000-0002-2867-5005
Johan BroddefalkMedicinal Chemistry CVRM, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, 43183Mölndal, Sweden.ORCID 0009-0002-3971-4652
K Phin ChooiOncology Targeted Discovery, AstraZeneca, Queen Mary BioEnterprises Innovation Centre, 42 New Road, E1 2AXLondon, U.K.
Abdul IngarDiscovery Sciences, R&D, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.ORCID 0009-0004-8441-5912
Hannah BoltDiscovery Sciences, R&D, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.ORCID 0000-0002-4106-8912
Gian Marco GhiandoniAugmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), 1 Francis Crick Avenue, CB2 0AACambridge, U.K.ORCID 0000-0002-2592-2939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ChemistryImmunoconjugatesMolecular StructureOligonucleotidesPeptidesComputational BiologyDrug DiscoveryHealth Information ExchangeMolecular TypingPharmaceutical PreparationsTerminology as TopicImmunoconjugatesOligonucleotidesPeptidesPharmaceutical Preparations

Identifiers

PMID42402045
PMCPMC13417882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.