Evidence map›Paper›PMID 37971316›Full record

ArticleNucleic acids research2024

The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures.

Brennan Abanades, Tobias H Olsen, Matthew I J Raybould, Broncio Aguilar-Sanjuan, Wing Ki Wong, Guy Georges, Alexander Bujotzek, Charlotte M Deane

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  5. Receptor-guided AAV Tropism Engineering via MATCH.bioRxiv : the preprint server for biology · 2026
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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

8 authors.

Brennan AbanadesOxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK.ORCID 0000-0001-8712-533X
Tobias H OlsenOxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK.
Matthew I J RaybouldOxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK.ORCID 0000-0002-5663-5297
Broncio Aguilar-SanjuanOxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK.
Wing Ki WongLarge Molecule Research, Roche Pharma Research and Early Development, Roche Innovation Center Munich, DE-82377 Penzberg, Germany.
Guy GeorgesLarge Molecule Research, Roche Pharma Research and Early Development, Roche Innovation Center Munich, DE-82377 Penzberg, Germany.ORCID 0000-0001-5737-006X
Alexander BujotzekLarge Molecule Research, Roche Pharma Research and Early Development, Roche Innovation Center Munich, DE-82377 Penzberg, Germany.
Charlotte M DeaneOxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK.ORCID 0000-0003-1388-2252

Funding

Engineering and Physical Sciences Research Council EP/S024093/1F. Hoffmann-La RocheGlaxoSmithKlineUniversity of Oxford
6 · The paper itself

Abstract

Antibodies are key proteins of the adaptive immune system, and there exists a large body of academic literature and patents dedicated to their study and concomitant conversion into therapeutics, diagnostics, or reagents. These documents often contain extensive functional characterisations of the sets of antibodies they describe. However, leveraging these heterogeneous reports, for example to offer insights into the properties of query antibodies of interest, is currently challenging as there is no central repository through which this wide corpus can be mined by sequence or structure. Here, we present PLAbDab (the Patent and Literature Antibody Database), a self-updating repository containing over 150,000 paired antibody sequences and 3D structural models, of which over 65 000 are unique. We describe the methods used to extract, filter, pair, and model the antibodies in PLAbDab, and showcase how PLAbDab can be searched by sequence, structure, or keyword. PLAbDab uses include annotating query antibodies with potential antigen information from similar entries, analysing structural models of existing antibodies to identify modifications that could improve their properties, and facilitating the compilation of bespoke datasets of antibody sequences/structures that bind to a specific antigen. PLAbDab is freely available via Github (https://github.com/oxpig/PLAbDab) and as a searchable webserver (https://opig.stats.ox.ac.uk/webapps/plabdab/).

Indexed as

AntibodiesDatabases, FactualAntigensInternetModels, MolecularPatents as TopicAntibodiesAntigens

Identifiers

PMID37971316
PMCPMC10767817

What OpenQuestion 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 OpenQuestion graph.