Evidence map›Paper›PMID 42668421›Full record

ArticlemAbs2026

Quantifying molecular specificity in excipient-driven antibody solubilization.

Zexiang Han, Nadia A Erkamp, Rob Scrutton, Giuseppe Licari, Olga Predeina, Andreas Evers, Pietro Sormanni, Tuomas P J Knowles

Abstract read
In one paragraph

Article in mAbs, 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

8 authors.

Zexiang HanYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-8968-0860
Nadia A ErkampDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID 0000-0003-4095-2105
Rob ScruttonYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Giuseppe LicariGlobal Drug Product Development, Biotech Development Center, Merck Serono SA (an Affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland.ORCID 0000-0002-8490-7536
Olga PredeinaYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Andreas EversAntibody Discovery & Protein Engineering, Merck Healthcare KGaA, Darmstadt, Germany.ORCID 0000-0003-4643-1941
Pietro SormanniYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Tuomas P J KnowlesYusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7879-0140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excipients are widely used to suppress the self-association of therapeutic proteins, yet their mechanisms of action are not well understood and often assumed to be nonspecific. Here we show that excipient-mediated solubilization of therapeutic antibodies is markedly molecularly specific. Using a high-throughput combinatorial droplet microfluidic platform, we systematically quantify the effects of common pharmaceutical excipients across a diverse panel of monoclonal antibodies (mAbs). Although all studied excipients enhance solubility, their effects can vary significantly between antibodies, spanning dynamic ranges from approximately 7-fold to over 200-fold. Integrating experimental solubilization measurements with sequence- and structure-derived molecular descriptors, we identify interpretable physicochemical determinants underlying excipient responses; for example, the histidine effect is strongly dependent on mAb dipole moment. Our findings reveal trends that highlight the molecular specificity and complexity of antibody-excipient interactions, as well as the limitations of purely generic formulation rules. Overall, this study provides a quantitative framework for analyzing excipient effects across diverse antibodies and supports the development of predictive approaches for rational formulation design. The integration of high-throughput experimentation with molecular feature analysis offers a foundation for improving our understanding and prediction of antibody-specific formulation behavior.

Indexed as

Antibodies, MonoclonalExcipientsChemistry, PharmaceuticalHumansSolubilityAntibodies, MonoclonalExcipientsDevelopabilityexcipientformulationmicrofluidicsmonoclonal antibodysolubility

Identifiers

PMID42668421
PMCPMC13532009

What OpenQuestion holds

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Registered trials

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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.