Evidence map›Paper›PMID 38161735›Full record

ArticleComputational and structural biotechnology journal2024

Structural trends in antibody-antigen binding interfaces: a computational analysis of 1833 experimentally determined 3D structures.

Andreas V Madsen, Oscar Mejias-Gomez, Lasse E Pedersen, J Preben Morth, Peter Kristensen, Timothy P Jenkins, Steffen Goletz

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 32 citations in OpenAlex.

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  16. Engineering antibody-drug conjugates targeting an adhesion GPCR, CD97.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors at 2 institutions in 1 country.

Andreas V MadsenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Oscar Mejias-GomezDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Lasse E PedersenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
J Preben MorthDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Peter KristensenDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Timothy P JenkinsDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Steffen GoletzDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Technical University of Denmark · DKAalborg University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies are attractive therapeutic candidates due to their ability to bind cognate antigens with high affinity and specificity. Still, the underlying molecular rules governing the antibody-antigen interface remain poorly understood, making in silico antibody design inherently difficult and keeping the discovery and design of novel antibodies a costly and laborious process. This study investigates the characteristics of antibody-antigen binding interfaces through a computational analysis of more than 850,000 atom-atom contacts from the largest reported set of antibody-antigen complexes with 1833 nonredundant, experimentally determined structures. The analysis compares binding characteristics of conventional antibodies and single-domain antibodies (sdAbs) targeting both protein- and peptide antigens. We find clear patterns in the number antibody-antigen contacts and amino acid frequencies in the paratope. The direct comparison of sdAbs and conventional antibodies helps elucidate the mechanisms employed by sdAbs to compensate for their smaller size and the fact that they harbor only half the number of complementarity-determining regions compared to conventional antibodies. Furthermore, we pinpoint antibody interface hotspot residues that are often found at the binding interface and the amino acid frequencies at these positions. These findings have direct potential applications in antibody engineering and the design of improved antibody libraries.

Indexed as

AntibodyAntibody engineeringComputationalEpitopeIn silicoParatopeSdAbSingle-domain antibodyStructureTherapeutic

Identifiers

PMID38161735
PMCPMC10755492
OpenAlexW4389312412

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.