Evidence map›Paper›PMID 26132144›Full record

ArticlePLoS computational biology2015

Rigidity Emerges during Antibody Evolution in Three Distinct Antibody Systems: Evidence from QSFR Analysis of Fab Fragments.

Tong Li, Malgorzata B Tracka, Shahid Uddin, Jose Casas-Finet, Donald J Jacobs, Dennis R Livesay

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  4. Efficient generation of epitope-targetedbioRxiv : the preprint server for biology · 2025
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  9. Review
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  11. Article
  12. Article
  13. Significance of Receptor Mobility in Multivalent Binding on Lipid Membranes.Angewandte Chemie (International ed. in English) · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. The Allosteric Effect in Antibody-Antigen Recognition.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  18. Article
  19. Article
  20. 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

6 authors.

Tong LiDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.
Malgorzata B TrackaDepartment of Formulation Sciences, MedImmune Ltd., Cambridge, United Kingdom.
Shahid UddinDepartment of Formulation Sciences, MedImmune Ltd., Cambridge, United Kingdom.
Jose Casas-FinetAnalytical Biochemistry Department, MedImmune LLC, Gaithersburg, Maryland, United States of America.
Donald J JacobsDepartment of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.
Dennis R LivesayDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of somatic mutations that transform polyspecific germline (GL) antibodies to affinity mature (AM) antibodies with monospecificity are compared among three GL-AM Fab pairs. In particular, changes in conformational flexibility are assessed using a Distance Constraint Model (DCM). We have previously established that the DCM can be robustly applied across a series of antibody fragments (VL to Fab), and subsequently, the DCM was combined with molecular dynamics (MD) simulations to similarly characterize five thermostabilizing scFv mutants. The DCM is an ensemble based statistical mechanical approach that accounts for enthalpy/entropy compensation due to network rigidity, which has been quite successful in elucidating conformational flexibility and Quantitative Stability/Flexibility Relationships (QSFR) in proteins. Applied to three disparate antibody systems changes in QSFR quantities indicate that the VH domain is typically rigidified, whereas the VL domain and CDR L2 loop become more flexible during affinity maturation. The increase in CDR H3 loop rigidity is consistent with other studies in the literature. The redistribution of conformational flexibility is largely controlled by nonspecific changes in the H-bond network, although certain Arg to Asp salt bridges create highly localized rigidity increases. Taken together, these results reveal an intricate flexibility/rigidity response that accompanies affinity maturation.

Indexed as

Evolution, MolecularModels, GeneticAntibodiesComputer SimulationImmunoglobulin Fab FragmentsModels, ChemicalMutationProtein ConformationQuantitative Structure-Activity RelationshipAntibodiesImmunoglobulin Fab Fragments

Identifiers

PMID26132144
PMCPMC4489365

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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.