Evidence map›Paper›PMID 42347263›Full record

ArticlePathogens (Basel, Switzerland)2026

In Vitro Selection of Antibodies Targeting

Madeline R Bolding, Sarah C Mozden, Olivia R Pimentel, Makaela M Montoya, Jessica Z Kubicek-Sutherland, Nileena Velappan

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 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.

Madeline R BoldingBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Sarah C MozdenBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-0879-9860
Olivia R PimentelChemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Makaela M MontoyaChemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Jessica Z Kubicek-SutherlandChemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0001-6215-4871
Nileena VelappanBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-4488-9126

Funding

Los Alamos National Laboratory Award# 20220108ER
6 · The paper itself

Abstract

Proteins are the most common targets for antibody discovery and vaccine development, but their sequence variability can limit the breadth of resulting antigens. Lipids represent an alternative class of antigens due to their structural conservation and roles in host-pathogen interactions. Here, we describe the development and optimization of an in vitro antibody selection workflow using lipid-containing nanodiscs as antigen presentation platforms to enable phage and yeast display selections under conditions adapted for these non-protein targets. Lipopolysaccharide (LPS) nanodiscs were first used as a model system to evaluate selection strategies, including competitive and subtractive approaches to reduce non-specific binders, yielding peptide and single-chain variable fragment (scFv) binders that were affinity matured to improve binding signals. The same approach was subsequently used to select scFv antibodies that recognize lipid nanodiscs prepared from

Indexed as

Antibodies, BacterialAntigen PresentationAntigens, BacterialMembrane LipidsYersinia pestisCell Surface Display TechniquesNanostructuresSingle-Chain AntibodiesAntibodies, BacterialAntigens, BacterialMembrane LipidsSingle-Chain Antibodiesantibody selectionlipid antigenslipopolysaccharidenanodiscsphage displayscFv antibodiesyeast displayYersinia pestis

Identifiers

PMID42347263
PMCPMC13304831

What Socratic 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 Socratic graph.