Synopsis of Social media discussions

The discussions highlight the technical superiority of ImmuneBuilder, with many emphasizing its faster and more accurate predictions compared to prior models, as seen in comments about 'outperforming AlphaFold' and 'supporting research.' Users use positive language like 'game changer' and 'important development' to convey recognition of its potential influence in immunology and drug discovery, reflecting high interest and moderate impact perceptions.

A
Agreement
Moderate agreement

Most discussions reflect strong support and positive acknowledgment of the publication's advancements, with phrases like 'accurately predict' and 'outperform existing tools' indicating broad agreement.

I
Interest
High level of interest

Participants demonstrate high curiosity, frequently mentioning technical details, such as the models' speed and accuracy, showing they find the research engaging.

E
Engagement
Moderate level of engagement

The discussions include references to related topics like immunotherapy, biotherapeutics, and existing models, showing a meaningful level of engagement beyond surface-level mentions.

I
Impact
Moderate level of impact

While some express optimism about the potential applications in medicine and research, the overall tone indicates a recognition of moderate but important scientific impact rather than revolutionary change.

Social Mentions

YouTube

1 Videos

Twitter

22 Posts

Metrics

Video Views

38

Total Likes

46

Extended Reach

201,975

Social Features

23

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

ImmuneBuilder Deep-Learning for Immune Protein Structure Prediction

ImmuneBuilder Deep-Learning for Immune Protein Structure Prediction

ImmuneBuilder uses deep learning models to quickly and accurately predict immune protein structures, outperforming existing tools like AlphaFold2, and supports immunology research and drug development. The models are freely available online.

September 29, 2023

38 views


  • manu
    @weakcoalgebra (Twitter)

    RT @CommsBio: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/oHCxVmNblR
    view full post

    October 13, 2024

    1

  • Communications Biology
    @CommsBio (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/oHCxVmNblR
    view full post

    October 10, 2024

    1

    1

  • Oxford Protein Informatics Group (OPIG)
    @OPIGlets (Twitter)

    Immunebuilder: deep-learning models for predicting the structures of immune proteins (also talk) @brennanaba Paired Antibody Sequence Generation: A Deep Generative Language Model for the Creation of Highly Developable Libraries @oliverturnbull1 2/4
    view full post

    July 24, 2023

    3

  • fangxiang
    @Realorientation (Twitter)

    RT @CAR_TCell: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immun…
    view full post

    June 9, 2023

    4

  • lbgbox
    @lbgbox (Twitter)

    RT @CAR_TCell: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immun…
    view full post

    June 9, 2023

    4

  • CancerLinks 
    @CancerLinks (Twitter)

    RT @CAR_TCell: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immun…
    view full post

    June 8, 2023

    4

  • John Kenten
    @JohnKenten (Twitter)

    RT @CAR_TCell: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immun…
    view full post

    June 8, 2023

    4

  • CAR-TCR
    @CAR_TCell (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immunotherapy
    view full post

    June 8, 2023

    10

    4

  • Pirater-un-compte-fb.com
    @UnPirater (Twitter)

    https://t.co/mcJbNyjOsx https://t.co/bNVlY5w0rF https://t.co/OqMDVg1NDO #twitter #facebook #metaverse #trump #joebiden #usa #war #russia #ukraine #putine #stopthewar #nature #photo #vegan #lgbt #trump2024
    view full post

    June 1, 2023

  • Anjali Kusumbe
    @KusumbeLab (Twitter)

    RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
    view full post

    May 31, 2023

    4

  • John Andrew Todd
    @ProfJohnATodd (Twitter)

    RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
    view full post

    May 31, 2023

    4

  • Adrian Liston
    @LabListon (Twitter)

    RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
    view full post

    May 31, 2023

    4

  • Hoffman
    @SPDFHoffman (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. Deep learning models trained to accurately predict the structure of antibodies, nanobodies, and T-Cell receptors. https://t.co/lp0duhELja #science #medicine #Immunology
    view full post

    May 31, 2023

  • Malcolm Sim
    @mjwsim (Twitter)

    RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
    view full post

    May 30, 2023

    4

  • hashem
    @hashemkoohy (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co/cQxYoPSNEr
    view full post

    May 30, 2023

    5

    4

  • OxASN: The Oxford Antigen Specificity Network
    @Ox_T_Cell_ASN (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co/WWCgCAPZYo
    view full post

    May 30, 2023

    3

  • know thyself(子豚のオリバー)
    @thyself_know (Twitter)

    RT @oxkawaka: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/sek2ajCdVL
    view full post

    May 30, 2023

    2

  • Kato
    @oxkawaka (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/sek2ajCdVL
    view full post

    May 30, 2023

    16

    2

  • hashem
    @hashemkoohy (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. | bioRxiv https://t.co/U56G8UGRsx
    view full post

    November 7, 2022

  • Helio Rocha
    @_elioRocha (Twitter)

    #bioRxiv ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. #bioinfo https://t.co/muRX1wOs1Y
    view full post

    November 5, 2022

  • bioRxiv Bioinfo
    @biorxiv_bioinfo (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. https://t.co/K4TKkXIC43 #biorxiv_bioinfo
    view full post

    November 5, 2022

    7

  • bioRxiv
    @biorxivpreprint (Twitter)

    ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. https://t.co/CmQHJYuCns #bioRxiv
    view full post

    November 5, 2022

    1

Abstract Synopsis

  • ImmuneBuilder is a set of deep learning models designed to accurately and quickly predict the structures of immune proteins like antibodies, nanobodies, and T-cell receptors, which are important for understanding immune responses and developing biotherapeutics.
  • The models outperform existing tools such as AlphaFold2 and AlphaFoldMultimer in both accuracy and speed, providing detailed structural predictions including error estimates for individual residues.
  • ImmuneBuilder is freely accessible through download and a web server, and also offers structural models for a large database of antibody sequences, supporting research and drug development in immunology.]