Evidence map›Paper›PMID 35874680›Full record

ArticleFrontiers in immunology2022

Structural Features of Antibody-Peptide Recognition.

Jessica H Lee, Rui Yin, Gilad Ofek, Brian G Pierce

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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  16. bioRxiv : the preprint server for biology · 2024
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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

4 authors at 3 institutions in 1 country.

Jessica H LeeDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, United States.
Rui YinDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, United States.
Gilad OfekDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, United States.
Brian G PierceDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, United States.
Advanced Bioscience Laboratories (United States) · USUniversity of Maryland, Baltimore · USUniversity of Maryland, College Park · US

Funding

High-resolution definition of B cell responses to HIV Env for immunogen designR01AI102766 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI LI, YUXING · 2013 to 2024
$6.6M
Next Generation Broadly Neutralizing Antibodies to Clear HIV-1 ReservoirR01AI136756 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI LI, QINGSHENG, LI, YUXING · 2019 to 2023
$3.9M
Anti-flavivirus B cell response analysis to aid vaccine designR01AI175439 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI Yuxing Li · 2023 to 2026
$3.1M
High resolution modeling and design of immune recognitionR35GM144083 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Brian G. Pierce · 2022 to 2026
$1.6M
High Resolution Modeling and Design of T-Cell ReceptorsR01GM126299 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI PIERCE, BRIAN G. · 2018 to 2021
$1.3M
NIAID NIH HHS R01 AI102766NIAID NIH HHS R01 AI175439NIGMS NIH HHS R01 GM126299NIGMS NIH HHS R35 GM144083
6 · The paper itself

Abstract

Antibody recognition of antigens is a critical element of adaptive immunity. One key class of antibody-antigen complexes is comprised of antibodies targeting linear epitopes of proteins, which in some cases are conserved elements of viruses and pathogens of relevance for vaccine design and immunotherapy. Here we report a detailed analysis of the structural and interface features of this class of complexes, based on a set of nearly 200 nonredundant high resolution antibody-peptide complex structures that were assembled from the Protein Data Bank. We found that antibody-bound peptides adopt a broad range of conformations, often displaying limited secondary structure, and that the same peptide sequence bound by different antibodies can in many cases exhibit varying conformations. Propensities of contacts with antibody loops and extent of antibody binding conformational changes were found to be broadly similar to those for antibodies in complex with larger protein antigens. However, antibody-peptide interfaces showed lower buried surface areas and fewer hydrogen bonds than antibody-protein antigen complexes, while calculated binding energy per buried interface area was found to be higher on average for antibody-peptide interfaces, likely due in part to a greater proportion of buried hydrophobic residues and higher shape complementarity. This dataset and these observations can be of use for future studies focused on this class of interactions, including predictive computational modeling efforts and the design of antibodies or epitope-based vaccine immunogens.

Indexed as

Antigen-Antibody ComplexVaccinesAntigensBinding Sites, AntibodyEpitopesModels, MolecularPeptidesProtein ConformationAntigen-Antibody ComplexAntigensEpitopesPeptidesVaccinesantibodyimmunologylinear epitopepeptidestructure

Identifiers

PMID35874680
PMCPMC9302003
OpenAlexW4284896141

What OpenQuestion holds

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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.