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Antibody Therapeutics(IF=4.5, Oxford University Press)
🎯🎯🎯rAbDesFlow: a novel workflow for computational recombinant antibody design for healthcare engineering
academic.oup.com/abt/article/...
#Computational #AntibodyDesign

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JAM-2: Performance Metrics and Validation Gaps Technical analysis of Nabla Bio’s computational antibody design platform

Nabla Bio's JAM-2 claims 30-70% epitope coverage. But all designs tested against same full-length antigen with no binning experiments. How do we know they're binding different epitopes?

Six validation gaps analyzed: medium.com/@enginyapici...

#AntibodyDesign #DrugDiscovery #ProteinEngineering #AI

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I Tried to Poke Holes in Chai-2’s Antibody Design Paper. Here’s What I Found. 88 designed antibodies, atomic accuracy, and some important caveats.

"AI designs therapeutic antibodies" 🤨

*reads 31-page Chai Discovery paper*

Okay, 88 functional mAbs with atomic accuracy is legit. But success is template-dependent and varies 4-100% by target.

Full analysis: medium.com/@enginyapici...

#AntibodyDesign #DrugDiscovery #ProteinEngineering

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Study Finds Sequence Data Sufficient for Antibody Bayesian Optimization

Study Finds Sequence Data Sufficient for Antibody Bayesian Optimization

Sequence‑only Bayesian optimization matches the affinity of structure‑enhanced models; a protein‑language constraint removes stability gaps. Read more: getnews.me/study-finds-sequence-dat... #bayesianoptimization #antibodydesign #proteinclanguage

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🧬Available now in Bioinformatics Advances: "AntiFold: Improved structure-based antibody design using inverse folding" 

Find the full paper here: https://doi.org/10.1093/bioadv/vbae202

#AntibodyDesign #ProteinEngineering #MachineLearning

Authors include: @broncio.bsky.social @opig.stats.ox.ac.uk

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Random thought! Can we develop an AI like AlphaFold to predict and develop antibodies specifically target and binds to prions?

#AlphaFold #AntibodyDesign #PrionResearch #ProteinEngineering #DeepLearning #Biotech #DrugDiscovery

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Breakthrough in immunology: AbMAP’s novel approach to antibody modeling Researchers developed AbMAP, a cutting-edge framework leveraging transfer learning to model antibody hypervariable regions, significantly improving design and immune repertoire analysis.

Breakthrough in immunology: AbMAP’s novel approach to antibody modeling 🔬🧬✨ www.news-medical.net/news/2025010... #AntibodyModeling #Immunology #Biophysics #AI #Science #AntibodyDesign #LanguageModels #TransferLearning #Therapeutics @pnas.org

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