Evidence map›Paper›PMID 27639634›Full record

ArticleProgress in biophysics and molecular biology2017

Promiscuous antibodies characterised by their physico-chemical properties: From sequence to structure and back.

Julie M J Laffy, Tihomir Dodev, Jamie A Macpherson, Catherine Townsend, Hui Chun Lu, Deborah Dunn-Walters, Franca Fraternali

Abstract read
In one paragraph

Article in Progress in biophysics and molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

7 authors.

Julie M J LaffyRandall Division of Cell and Molecular Biophysics, King's College London, UK.
Tihomir DodevDepartment of Immunobiology, King's College London, UK.
Jamie A MacphersonRandall Division of Cell and Molecular Biophysics, King's College London, UK.
Catherine TownsendDepartment of Immunobiology, King's College London, UK.
Hui Chun LuRandall Division of Cell and Molecular Biophysics, King's College London, UK.
Deborah Dunn-WaltersDepartment of Immunobiology, King's College London, UK; Faculty of Health and Medical Sciences, University of Surrey, UK.
Franca FraternaliRandall Division of Cell and Molecular Biophysics, King's College London, UK. Electronic address: franca.fraternali@kcl.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/L015845/1Medical Research Council MR/L01257X/1Medical Research Council MR/L01257X/2The Dunhill Medical Trust R279/0213
6 · The paper itself

Abstract

Human B cells produce antibodies, which bind to their cognate antigen based on distinct molecular properties of the antibody CDR loop. We have analysed a set of 10 antibodies showing a clear difference in their binding properties to a panel of antigens, resulting in two subsets of antibodies with a distinct binding phenotype. We call the observed binding multiplicity 'promiscuous' and selected physico-chemical CDRH3 characteristics and conformational preferences may characterise these promiscuous antibodies. To classify CDRH3 physico-chemical properties playing a role in their binding properties, we used statistical analyses of the sequences annotated by Kidera factors. To characterise structure-function requirements for antigen binding multiplicity we employed Molecular Modelling and Monte Carlo based coarse-grained simulations. The ability to predict the molecular causes of promiscuous, multi-binding behaviour would greatly improve the efficiency of the therapeutic antibody discovery process.

Indexed as

Antibody SpecificityChemical PhenomenaAntibodiesAntigensComplementarity Determining RegionsHumansModels, MolecularMonte Carlo MethodPhenotypeProtein Conformation, beta-StrandAntibodiesAntigensComplementarity Determining RegionsAntibody CDRH3Binding promiscuityConformational preferencesELISAKidera factorsMolecular modellingMonte Carlo simulations

Identifiers

PMID27639634
PMCPMC6167913

What OpenQuestion holds

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Registered trials

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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.