ArticleProceedings of the National Academy of Sciences of the United States of America2019
Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
Who cites it
23 citing papers in PubMed.
- Optimizing the breadth of SARS-CoV-2-neutralizing antibodies in vivo and in silico.Human vaccines & immunotherapeutics · 2025Review
- RosettaHDX: Predicting antibody-antigen interaction from hydrogen-deuterium exchange mass spectrometry data.Journal of structural biology · 2025Article
- Enabling the immune escaped etesevimab fully-armed against SARS-CoV-2 Omicron subvariants including KP.2.hLife · 2025Article
- Applying computational protein design to therapeutic antibody discovery - current state and perspectives.Frontiers in immunology · 2025Review
- A general computational design strategy for stabilizing viral class I fusion proteins.Nature communications · 2024Article
- The Potential of Single-Chain Variable Fragment Antibody: Role in Future Therapeutic and Diagnostic Biologics.Journal of immunology research · 2024Review
- Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design.Cell reports · 2023Article
- GPCRome-wide analysis of G-protein-coupling diversity using a computational biology approach.Nature communications · 2023Article
- Structural characterisation of hemagglutinin from seven Influenza A H1N1 strains reveal diversity in the C05 antibody recognition site.Scientific reports · 2023Article
- Design and discovery of metamorphic proteins.Current opinion in structural biology · 2022Review
- Computational Structure Prediction for Antibody-Antigen Complexes From Hydrogen-Deuterium Exchange Mass Spectrometry: Challenges and Outlook.Frontiers in immunology · 2022Review
- Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design.Biochemistry · 2021Review
- Rosetta:MSF:NN: Boosting performance of multi-state computational protein design with a neural network.PloS one · 2021Article
- Predicting susceptibility to SARS-CoV-2 infection based on structural differences in ACE2 across species.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
- Computationally Designed Cyclic Peptides Derived from an Antibody Loop Increase Breadth of Binding for Influenza Variants.Structure (London, England : 1993) · 2020Article
- Macromolecular modeling and design in Rosetta: recent methods and frameworks.Nature methods · 2020Review
- Computer-based Engineering of Thermostabilized Antibody Fragments.AIChE journal. American Institute of Chemical Engineers · 2020Article
- Multi-state design of flexible proteins predicts sequences optimal for conformational change.PLoS computational biology · 2020Article
- Article
- Solubility, Stability, and Avidity of Recombinant Antibody Fragments Expressed in Microorganisms.Frontiers in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Influenza is a yearly threat to global public health. Rapid changes in influenza surface proteins resulting from antigenic drift and shift events make it difficult to readily identify antibodies with broadly neutralizing activity against different influenza subtypes with high frequency, specifically antibodies targeting the receptor binding domain (RBD) on influenza HA protein. We developed an optimized computational design method that is able to optimize an antibody for recognition of large panels of antigens. To demonstrate the utility of this multistate design method, we used it to redesign an antiinfluenza antibody against a large panel of more than 500 seasonal HA antigens of the H1 subtype. As a proof of concept, we tested this method on a variety of known antiinfluenza antibodies and identified those that could be improved computationally. We generated redesigned variants of antibody C05 to the HA RBD and experimentally characterized variants that exhibited improved breadth and affinity against our panel. C05 mutants exhibited improved affinity for three of the subtypes used in design by stabilizing the CDRH3 loop and creating favorable electrostatic interactions with the antigen. These mutants possess increased breadth and affinity of binding while maintaining high-affinity binding to existing targets, surpassing a major limitation up to this point.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.