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#proteinengineering — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #proteinengineering, aggregated by home.social.

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  1. Raygun is reshaping protein engineering at Duke University using an AI “shrink ray” approach that speeds up design cycles and enhances precision. Essential read for biotech professionals and researchers thinking about AI-driven design workflows. Learn more: wix.to/HRvwEYI

    #Research
    #Innovation
    #AIinBiotech
    #DukeUniversity
    #ProteinEngineering

  2. 🧬 Can AI help researchers discover better proteins faster?

    The Software Campus project ProtAl combines active learning and protein language models to explore new approaches for protein engineering—while putting transparency and usability at the center. 🚀🔬☁️

    Participant: Sebastian Franz
    Research Partners: @tu_muenchen / LMU Munich
    Industry Partner: #Merck

    Learn more via the link! 👇
    softwarecampus.de/en/projekt/p

    #SoftwareCampus #Bioinformatics #ProteinEngineering #AI #Biotech

  3. 🤖 Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    🔗 BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #BioPipelines #ProteinEngineering #ComputationalBiology #ProteinDesign #SyntheticBiology #Bioinformatics #AlphaFold #SystemsBiology #AI

  4. 🦠 Can a redesigned bacterial platform reshape the future of protein engineering?

    🔗 Optimized Quantitative Bacterial Two-Hybrid (qB2H) for Protein–Protein Interaction Assessment. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0098

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #ProteinEngineering #SyntheticBiology #ProteinDesign #DrugDiscovery #ProteinInteractions #TherapeuticDiscovery

  5. 🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?

    🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0100

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology

  6. ⚛️ Can spherical voxelization improve how AI interprets protein chemistry and interactions?

    🔗 SpheronizaTor: Spherical Voxelization for Interpretable Protein Microenvironment Modeling. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0076

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #StructuralBiology #Bioinformatics #ComputationalBiology #ProteinStructure #ArtificialIntelligence #ProteinEngineering #ProteinModeling

  7. ⚛️ Could life itself be a quantum phenomenon disguised as biology?

    🔗 Quantum Biology Using Ultrafast Integrative and Molecular Engineering Tools: A Perspective. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0024

    📚 CSBJ Quantum Biology and Biophotonics: spj.science.org/journal/csbj/q

    #QuantumBiology #QuantumPhysics #MolecularBiology #ProteinEngineering #Biophysics #Biochemistry #Bioinformatics #SystemsBiology #MolecularDynamics #Lifesciences

  8. Can the functions of #metalloenzymes be further improved using non-canonical amino acids?

    In her talk at #Biochemistry2026, Alexandra Deliz Liang talked about the usage of genetic code expansion in order to improve the activity of metalloenzymes using e.g. hydrophobic tuning.

    biorxiv.org/content/10.1101/20
    #Chemistry #ChemBio #Biochemistry #BioinorganicChemistry #ProteinEngineering
    CC: @gdch, @GDCh_BioChem

  9. How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures

    A bioprocess engineer's journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. What I don't usually mention is that I've been teaching myself machine learning on nights and weekends. Not because it's trendy, but […]

    kemal.yaylali.uk/from-bioreact

  10. 🧩 Could structural AI finally decode the complex language of T-cell antigen recognition?

    🔗 STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.09

    📚 CSBJ: csbj.org/

    #StructuralBiology #ProteinLanguageModels #Immunotherapy #ComputationalBiology #Bioinformatics #MachineLearning #Immunology #ProteinEngineering #TCR #HLA #DrugDiscovery #AI

  11. ✨ Is it time to rethink allosteric site prediction using internal protein nanoenvironments?

    🔗 Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.10

    📚 CSBJ: csbj.org/

    #DrugDiscovery #ComputationalBiology #StructuralBiology #ProteinEngineering #Biophysics #Cheminformatics

  12. 🧬 Can molecular simulations transform the future of long-acting diabetes treatments?

    🔗 In silico investigations of albumin-GLP-1 receptor agonist complexes for diabetes drug delivery applications. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.11

    📚 CSBJ: csbj.org/

    #MolecularDynamics #DiabetesResearch #Biotherapeutics #GLP1 #Albumin #DrugDelivery #Biomaterials #ComputationalBiology #ProteinEngineering

  13. 💡 Can AI find the viral “on switch” that triggers infection?

    🔗 Machine and deep learning to predict viral fusion peptides. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.02

    📚 CSBJ: csbj.org/

    #MachineLearning #Virology #AI #ProteinEngineering #Bioinformatics

  14. 🧬 Can AI build peptides that tell your cells to fight back against oxidative stress?

    🔗 RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.02

    📚 CSBJ: csbj.org/

    #StructuralBiology #PeptideTherapeutics #RoseTTAFold #ProteinEngineering #MolecularDynamics #AIinDrugDiscovery #AntioxidantResearch #DrugDesign #Bioinformatics #ComputationalBiology

  15. ⚛️ Is the secret to circular rare earth recovery hidden in molecular motion?

    🔗 Computationally derived structural insights into Rare Earth selectivity in lanmodulin and its variants. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.02

    📚 CSBJ: csbj.org/

    #RareEarths #Lanmodulin #ComputationalBiology #Sustainability #CircularEconomy #RareEarthElements #MolecularDynamics #ProteinEngineering #MolecularModeling #MolecularSimulation

  16. IntegrateRNA launches revolutionary Aminoacyl-tRNA Synthesis Service enabling custom protein engineering with non-canonical amino acids, transforming research across pharma, biotech, and synthetic biology #Biotechnology #ProteinEngineering

  17. 🧩 The future of drug discovery may depend on how well we understand PROTAC-driven protein partnerships.

    🔗 Mapping the energy landscape of PROTAC-mediated protein-protein interactions. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2023.02

    📚 CSBJ: csbj.org/

    #StructuralBiology #PROTAC #DrugDiscovery #ComputationalBiology #ProteinEngineering #ProteinDegradation #Biopharma #MedicinalChemistry #TargetedTherapies #AIinBiotech #MolecularModeling