Evidence map›Paper›PMID 36147680›Full record

ArticleComputational and structural biotechnology journal2022

Antibody interfaces revealed through structural mining.

Yizhou Yin, Matthew G Romei, Kannan Sankar, Lipika R Pal, Kam Hon Hoi, Yanli Yang, Brandon Leonard, Gladys De Leon Boenig, Nikit Kumar, Marissa Matsumoto and 4 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Yizhou YinInstitute for Bioscience and Biotechnology Research and Department of Cell Biology and Molecular Genetics, University of Maryland College Park, College Park, MD, USA.
Matthew G RomeiDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
Kannan SankarDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
Lipika R PalInstitute for Bioscience and Biotechnology Research and Department of Cell Biology and Molecular Genetics, University of Maryland College Park, College Park, MD, USA.
Kam Hon HoiDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
Yanli YangDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
Brandon LeonardDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
Gladys De Leon BoenigDepartment of Structural Biology, Genentech Inc., South San Francisco, CA, USA.
Nikit KumarDepartment of Structural Biology, Genentech Inc., South San Francisco, CA, USA.
Marissa MatsumotoDepartment of Structural Biology, Genentech Inc., South San Francisco, CA, USA.
Jian PayandehDepartment of Structural Biology, Genentech Inc., South San Francisco, CA, USA.
Seth F HarrisDepartment of Structural Biology, Genentech Inc., South San Francisco, CA, USA.
John MoultInstitute for Bioscience and Biotechnology Research and Department of Cell Biology and Molecular Genetics, University of Maryland College Park, College Park, MD, USA.
Greg A LazarDepartment of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA.
University of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies are fundamental effectors of humoral immunity, and have become a highly successful class of therapeutics. There is increasing evidence that antibodies utilize transient homotypic interactions to enhance function, and elucidation of such interactions can provide insights into their biology and new opportunities for their optimization as drugs. Yet the transitory nature of weak interactions makes them difficult to investigate. Capitalizing on their rich structural data and high conservation, we have characterized all the ways that antibody fragment antigen-binding (Fab) regions interact crystallographically. This approach led to the discovery of previously unrealized interfaces between antibodies. While diverse interactions exist, β-sheet dimers and variable-constant elbow dimers are recurrent motifs. Disulfide engineering enabled interactions to be trapped and investigated structurally and functionally, providing experimental validation of the interfaces and illustrating their potential for optimization. This work provides first insight into previously undiscovered oligomeric interactions between antibodies, and enables new opportunities for their biotherapeutic optimization.

Indexed as

AntibodyClusterCrystallographyHomotypicInterfaceOligomerProtein data bankStructure

Identifiers

PMID36147680
PMCPMC9474289
OpenAlexW4293767453

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.