Evidence map›Paper›PMID 40413729›Full record

ArticlemAbs2025

Data-driven analyses of human antibody variable domain germlines: pairings, sequences and structural features.

Clarissa A Seidler, Vera A Spanke, Jakob Gamper, Alexander Bujotzek, Guy Georges, Klaus R Liedl

Abstract read
In one paragraph

Article in mAbs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Clarissa A SeidlerDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-7859-9234
Vera A SpankeDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.
Jakob GamperDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.
Alexander BujotzekRoche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany.ORCID 0000-0001-5052-0221
Guy GeorgesRoche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany.
Klaus R LiedlDepartment of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-0985-2299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Observed Antibody Space provides the most abundant collection of annotated paired antibody variable domain sequences, thus offering a unique platform for the systematic investigation of the factors governing the pairing of antibody heavy and light chains. By examining a range of characteristics, including amino acid conservation, structural features, charge distribution, and interface residue identity, we challenge the prevailing assumption that pairing is random. Our findings indicate that specific physicochemical properties of single amino acid residues may influence the compatibility and affinity of heavy and light chain combinations. Further structural analyses based on antibody Fv fragments deposited in the Protein Data Bank (PDB) provide insights into the underlying structural features driving these pairing preferences, including a novel definition for the residues constituting the V

Indexed as

Immunoglobulin Heavy ChainsImmunoglobulin Light ChainsImmunoglobulin Variable RegionAmino Acid SequenceDatabases, ProteinHumansImmunoglobulin Heavy ChainsImmunoglobulin Light ChainsImmunoglobulin Variable Regionantibody assemblyAntibody pairingdatabase analysisgermline V-geneVH-VL interface

Identifiers

PMID40413729
PMCPMC12118439

What OpenQuestion holds

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LicenceCC BY-NC
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.