Evidence map›Paper›PMID 41815842›Full record

ArticleBio-protocol2026

High-Resolution Quantification of Two-Way Nanobody Synergy Using Automated Liquid Handling and Computational Modeling.

Natasha M Bourgeois, Satchel W Bell, Jean Paul Olivier, Michael P Rout, John D Aitchison, Fred D Mast

Abstract read
In one paragraph

Article in Bio-protocol, 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

6 authors.

Natasha M BourgeoisCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
Satchel W BellCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
Jean Paul OlivierCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
Michael P RoutLaboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York, USA.
John D AitchisonCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
Fred D MastCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.

Funding

Synergistic Nanobodies for Pandemic PreparednessR01AI189657 · NIAID · ROCKEFELLER UNIVERSITY · PI JOHN D. AITCHISON, MICHAEL P ROUT · 2025 to 2026
$1.7M
NIAID NIH HHS R01 AI189657
6 · The paper itself

Abstract

Evaluating single-domain antibody cooperativity is essential for developing potent, escape-resistant antiviral biologics. Here, we present a protocol that reproducibly quantifies functional synergy between neutralizing nanobody pairs in standardized viral infectivity assays. Controlled automated liquid handling prepares two-dimensional concentration matrices, minimizing pipetting variance and systematic error. Neutralization data are fitted using quantitative models that independently estimate potency, cooperativity, and efficacy to distinguish additive, synergistic, and antagonistic effects between nanobody pairs. Replicated measurements enable statistically interpretable parameter estimates, supporting robust evaluation of combinatorial nanobody therapeutics with commonly available equipment and open-source analysis tools. This framework is broadly applicable to assessing cooperative effects among other classes of binding or inhibitory molecules, facilitating systematic discovery of synergistic combinations. Key features • Understanding functional synergistic effects between antiviral nanobodies advances their rational therapeutic design. • Performing nanobody synergy experiments with an automated liquid handling workflow enables high-throughput and highly reproducible analysis of nanobody cooperativity. • Evaluating a two-dimensional matrix of nanobody concentrations using the MuSyC model provides the resolution needed to understand how one nanobody can be influenced by another. • This protocol integrates experimental, computational, and visualization procedures into a unified framework to identify and characterize synergistic antiviral nanobody combinations.

Indexed as

AntiviralsAutomated liquid handlingNanobodySingle domain antibodySynergyTherapeutics

Identifiers

PMID41815842
PMCPMC12971279

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.