Evidence map›Paper›PMID 42872001›Full record

ArticleACS pharmacology & translational science2026

Antibody Affinity Maturation by Yeast Mating against a Diverse Antigen Library Enhances Antibody Resistance to Viral Mutations.

Ryan Hard, Young Su Ko, Jonathan Parkinson, Wei Wang

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 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

4 authors.

Ryan HardDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0359, United States.ORCID https://orcid.org/0000-0003-0434-804X
Young Su KoDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0359, United States.
Jonathan ParkinsonDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0359, United States.ORCID https://orcid.org/0000-0002-7000-2082
Wei WangDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0359, United States.

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Systems-level identification of key regulators deciding immune cell stateR01AI150282 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2020 to 2024
$3.5M
Designing neutralization antibodies against Sars-Cov-2R21AI158114 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2020 to 2020
$434k
NCI NIH HHS P30 CA023100NIAID NIH HHS R01 AI150282NIAID NIH HHS R21 AI158114
6 · The paper itself

Abstract

Antibodies suffer from resistance mutations in their targets, which diminishes their efficacy. Most antibody library screens use a single antigen yet should ideally use many antigens to ensure that the hits have broad-binding capacity. As a test case, we used the receptor-binding domain (RBD) of SARS COV-2 and CR3022 as the starting antigen/antibody pair. We screened a CR3022 library against a large panel of RBDs (94) and isolated a hit (C8) that has improved affinity for 95/102 tested RBDs. C8 has improved affinity to variants unseen in the library screening, indicating that C8 is more resistant to future antigen variants. This study, to our knowledge, represents the largest interaction screen (10

Indexed as

antibody engineeringSARS COV-2viral resistanceyeast mating

Identifiers

PMID42872001
PMCPMC13659841

What OpenQuestion holds

Textmetadata
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.