Evidence map›Paper›PMID 41142758›Full record

ArticleComputational and structural biotechnology journal2025

Replacement of a single residue in an antibody abolishes cognate antigen binding, as predicted by theoretical methods.

Marvin Scherlo, Adrian Höveler, Marvin Mann, Grischa Gerwert, Jörn Güldenhaupt, Klaus Gerwert, Till Rudack, Carsten Kötting

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. D81 Mutants Reveal Hidden EF-Tu Diversity while Natural Sequences Preserve Aspartate.Computational and structural biotechnology journal · 2026
    Article
  3. Article
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

8 authors.

Marvin ScherloCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Adrian HövelerCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Marvin MannCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Grischa GerwertCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Jörn GüldenhauptCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Klaus GerwertCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Till RudackStructural Bioinformatics Group, Regensburg Center for Biochemistry, University Regensburg, Regensburg, Germany.
Carsten KöttingCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural insights into the interaction between antibodies and antigens at the atomic level are pivotal for understanding the molecular mechanisms of antigen binding. Despite the availability of structural models generated by recent artificial intelligence advancements, computational predictions require experimental validation to confirm their accuracy. Here, we demonstrate an approach that combines computational protein modeling with spectroscopic experiments to validate antibody-antigen interactions. As a case example we use solanezumab, a monoclonal antibody that targets amyloid-beta (Aβ), whose misfolding is the main factor responsible for Alzheimer's disease. For this antibody, we predicted a single mutation, G95A

Indexed as

AlzheimerAmyloid-BetaAntibody-Antigen-InteractionATR-FTIRSpectroscopyImmuno Infrared SensorMolecular dynamics simulationsMutagenesisProtein ModelingSolanezumab

Identifiers

PMID41142758
PMCPMC12550714

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.