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.
Agreement
Moderate agreementMost discussions reflect strong support and positive acknowledgment of the publication's advancements, with phrases like 'accurately predict' and 'outperform existing tools' indicating broad agreement.
Interest
High level of interestParticipants demonstrate high curiosity, frequently mentioning technical details, such as the models' speed and accuracy, showing they find the research engaging.
Engagement
Moderate level of engagementThe discussions include references to related topics like immunotherapy, biotherapeutics, and existing models, showing a meaningful level of engagement beyond surface-level mentions.
Impact
Moderate level of impactWhile 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
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 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.
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RT @CommsBio: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/oHCxVmNblR
view full postOctober 13, 2024
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Communications Biology
@CommsBio (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/oHCxVmNblR
view full postOctober 10, 2024
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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 postJuly 24, 2023
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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 postJune 9, 2023
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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 postJune 9, 2023
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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 postJune 8, 2023
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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 postJune 8, 2023
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CAR-TCR
@CAR_TCell (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins: https://t.co/xtvhstmUr5 #CARTCR #immunotherapy
view full postJune 8, 2023
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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 postJune 1, 2023
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Anjali Kusumbe
@KusumbeLab (Twitter)RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
view full postMay 31, 2023
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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 postMay 31, 2023
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Adrian Liston
@LabListon (Twitter)RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
view full postMay 31, 2023
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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 postMay 31, 2023
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Malcolm Sim
@mjwsim (Twitter)RT @hashemkoohy: ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co…
view full postMay 30, 2023
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hashem
@hashemkoohy (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins | Communications Biology https://t.co/cQxYoPSNEr
view full postMay 30, 2023
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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 postMay 30, 2023
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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 postMay 30, 2023
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Kato
@oxkawaka (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins https://t.co/sek2ajCdVL
view full postMay 30, 2023
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hashem
@hashemkoohy (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. | bioRxiv https://t.co/U56G8UGRsx
view full postNovember 7, 2022
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Helio Rocha
@_elioRocha (Twitter)#bioRxiv ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. #bioinfo https://t.co/muRX1wOs1Y
view full postNovember 5, 2022
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bioRxiv Bioinfo
@biorxiv_bioinfo (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. https://t.co/K4TKkXIC43 #biorxiv_bioinfo
view full postNovember 5, 2022
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bioRxiv
@biorxivpreprint (Twitter)ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. https://t.co/CmQHJYuCns #bioRxiv
view full postNovember 5, 2022
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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.]
manu
@weakcoalgebra (Twitter)