Evidence map›Paper›PMID 19194863›Full record

ArticleProteins2009

Multi-constraint computational design suggests that native sequences of germline antibody H3 loops are nearly optimal for conformational flexibility.

Mariana Babor, Tanja Kortemme

Abstract read
In one paragraph

Article in Proteins, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Defining and Studying B Cell Receptor and TCR Interactions.Journal of immunology (Baltimore, Md. : 1950) · 2023
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  4. Review
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  9. Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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  20. Structure of the apo anti-influenza CH65 Fab.Acta crystallographica. Section F, Structural biology communications · 2015
    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

2 authors.

Mariana BaborCalifornia Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, California 94158-2330, USA.
Tanja Kortemme

Funding

Center for Protein Folding Machinery (RMI)PN2EY016525 · NEI · BAYLOR COLLEGE OF MEDICINE · PI CHIU, WAH · 2005 to 2015
$33.6M
Center for Protein Folding Machinery (RMI)PN1EY016525 · NEI · BAYLOR COLLEGE OF MEDICINE · PI CHIU, WAH · 2004 to 2004
$67k
NEI NIH HHS PN1 EY016525NEI NIH HHS PN2 EY016525NEI NIH HHS PN2EY016525
6 · The paper itself

Abstract

The limited size of the germline antibody repertoire has to recognize a far larger number of potential antigens. The ability of a single antibody to bind multiple ligands due to conformational flexibility in the antigen-binding site can significantly enlarge the repertoire. Among the six complementarity determining regions (CDRs) that generally comprise the binding site, the CDR H3 loop is particularly variable. Computational protein design studies showed that predicted low energy sequences compatible with a given backbone structure often have considerable similarity to the corresponding native sequences of naturally occurring proteins, indicating that native protein sequences are close to optimal for their structures. Here, we take a step forward to determine whether conformational flexibility, believed to play a key functional role in germline antibodies, is also central in shaping their native sequence. In particular, we use a multi-constraint computational design strategy, along with the Rosetta scoring function, to propose that the native sequences of CDR H3 loops from germline antibodies are nearly optimal for conformational flexibility. Moreover, we find that antibody maturation may lead to sequences with a higher degree of optimization for a single conformation, while disfavoring sequences that are intrinsically flexible. In addition, this computational strategy allows us to predict mutations in the CDR H3 loop to stabilize the antigen-bound conformation, a computational mimic of affinity maturation, that may increase antigen binding affinity by preorganizing the antigen binding loop. In vivo affinity maturation data are consistent with our predictions. The method described here can be useful to design antibodies with higher selectivity and affinity by reducing conformational diversity.

Indexed as

Models, ChemicalAmino Acid SequenceAmino Acid SubstitutionAntigen-Antibody ComplexBinding Sites, AntibodyComplementarity Determining RegionsCrystallography, X-RayDatabases, ProteinImmunoglobulin Heavy ChainsModels, MolecularPliabilityProtein ConformationStructure-Activity RelationshipAntigen-Antibody ComplexComplementarity Determining RegionsImmunoglobulin Heavy Chains

Identifiers

PMID19194863
PMCPMC3978785

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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.