home.social

#computationalbiology — Public Fediverse posts

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

  1. Delphy is a web-based software application designed to rapidly assemble phylogenetic trees, mapping the evolution and spread of viral variants from genomic sequence data in near-real time.
    #ComputationalBiology #Epidemiology #Genomics #Virology #sflorg
    sflorg.com/2026/09/cobi0916260

  2. Delphy is a web-based software application designed to rapidly assemble phylogenetic trees, mapping the evolution and spread of viral variants from genomic sequence data in near-real time.
    #ComputationalBiology #Epidemiology #Genomics #Virology #sflorg
    sflorg.com/2026/09/cobi0916260

  3. Delphy is a web-based software application designed to rapidly assemble phylogenetic trees, mapping the evolution and spread of viral variants from genomic sequence data in near-real time.
    #ComputationalBiology #Epidemiology #Genomics #Virology #sflorg
    sflorg.com/2026/09/cobi0916260

  4. Delphy is a web-based software application designed to rapidly assemble phylogenetic trees, mapping the evolution and spread of viral variants from genomic sequence data in near-real time.
    #ComputationalBiology #Epidemiology #Genomics #Virology #sflorg
    sflorg.com/2026/09/cobi0916260

  5. Delphy is a web-based software application designed to rapidly assemble phylogenetic trees, mapping the evolution and spread of viral variants from genomic sequence data in near-real time.
    #ComputationalBiology #Epidemiology #Genomics #Virology #sflorg
    sflorg.com/2026/09/cobi0916260

  6. If you are interested in how AI can support the development of scientific software, I invite you to attend my workshop at the 71st Annual Meeting of the Biophysical Society in Philadelphia.

    On February 23, 2027, at 7:30 PM, I will present “Developing Scientific Software with AI: Opportunities, Practices, and Pitfalls for Biophysicists.”

    I am grateful for the invitation and look forward to the discussion.

    See you at #BPS2027 #Biophysics #AI #ComputationalBiology

  7. If you are interested in how AI can support the development of scientific software, I invite you to attend my workshop at the 71st Annual Meeting of the Biophysical Society in Philadelphia.

    On February 23, 2027, at 7:30 PM, I will present “Developing Scientific Software with AI: Opportunities, Practices, and Pitfalls for Biophysicists.”

    I am grateful for the invitation and look forward to the discussion.

    See you at #BPS2027 #Biophysics #AI #ComputationalBiology

  8. If you are interested in how AI can support the development of scientific software, I invite you to attend my workshop at the 71st Annual Meeting of the Biophysical Society in Philadelphia.

    On February 23, 2027, at 7:30 PM, I will present “Developing Scientific Software with AI: Opportunities, Practices, and Pitfalls for Biophysicists.”

    I am grateful for the invitation and look forward to the discussion.

    See you at #BPS2027 #Biophysics #AI #ComputationalBiology

  9. If you are interested in how AI can support the development of scientific software, I invite you to attend my workshop at the 71st Annual Meeting of the Biophysical Society in Philadelphia.

    On February 23, 2027, at 7:30 PM, I will present “Developing Scientific Software with AI: Opportunities, Practices, and Pitfalls for Biophysicists.”

    I am grateful for the invitation and look forward to the discussion.

    See you at #BPS2027 #Biophysics #AI #ComputationalBiology

  10. If you are interested in how AI can support the development of scientific software, I invite you to attend my workshop at the 71st Annual Meeting of the Biophysical Society in Philadelphia.

    On February 23, 2027, at 7:30 PM, I will present “Developing Scientific Software with AI: Opportunities, Practices, and Pitfalls for Biophysicists.”

    I am grateful for the invitation and look forward to the discussion.

    See you at #BPS2027 #Biophysics #AI #ComputationalBiology

  11. 🧩 Could RNA and proteins share the same “shape language” for binding drugs?

    🔗 Eigenvalue Ratios Reveal Shared Binding Pocket Shapes in RNA and Protein Structures. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0022

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

    #DrugDiscovery #StructuralBiology #ComputationalBiology #RNAResearch #ProteinScience #Bioinformatics #MolecularModeling #Genomics #Proteomics #Cheminformatics #LigandBinding

  12. 🧩 Could RNA and proteins share the same “shape language” for binding drugs?

    🔗 Eigenvalue Ratios Reveal Shared Binding Pocket Shapes in RNA and Protein Structures. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0022

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

    #DrugDiscovery #StructuralBiology #ComputationalBiology #RNAResearch #ProteinScience #Bioinformatics #MolecularModeling #Genomics #Proteomics #Cheminformatics #LigandBinding

  13. 🧬 Ever wondered how the genome actually looks when it folds inside the nucleus — and how fast we can simulate it?

    🔗 Multiscale molecular modeling of chromatin with MultiMM: From nucleosomes to the whole genome. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.09

    📚 CSBJ: csbj.org/

    #ChromatinModeling #3DGenome #ComputationalBiology #Genomics #MolecularModeling #GenomeArchitecture #ChromatinStructure #HiC #ATACSeq #Biophysics #StructuralBiology

  14. 🧬 Ever wondered how the genome actually looks when it folds inside the nucleus — and how fast we can simulate it?

    🔗 Multiscale molecular modeling of chromatin with MultiMM: From nucleosomes to the whole genome. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.09

    📚 CSBJ: csbj.org/

    #ChromatinModeling #3DGenome #ComputationalBiology #Genomics #MolecularModeling #GenomeArchitecture #ChromatinStructure #HiC #ATACSeq #Biophysics #StructuralBiology

  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. ⚛️ 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

  17. ⚛️ 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

  18. ⚛️ 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

  19. ⚛️ 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

  20. Posting this months after GGMM 2025 on purpose: the takeaways still hold. Strong mix of structural bioinformatics, AI, integrative/multi‑scale modeling, and visualization; great PhD/postdoc–senior interplay. MolPlay feedback aged well and is shaping follow‑ups. Grateful for the community—see you in two years.

    #GGMM2025 #MolecularModeling #ComputationalBiology #ScientificCommunity

    idees.moleculair.es/ggmm2025-d

  21. Posting this months after GGMM 2025 on purpose: the takeaways still hold. Strong mix of structural bioinformatics, AI, integrative/multi‑scale modeling, and visualization; great PhD/postdoc–senior interplay. MolPlay feedback aged well and is shaping follow‑ups. Grateful for the community—see you in two years.

    #GGMM2025 #MolecularModeling #ComputationalBiology #ScientificCommunity

    idees.moleculair.es/ggmm2025-d

  22. Posting this months after GGMM 2025 on purpose: the takeaways still hold. Strong mix of structural bioinformatics, AI, integrative/multi‑scale modeling, and visualization; great PhD/postdoc–senior interplay. MolPlay feedback aged well and is shaping follow‑ups. Grateful for the community—see you in two years.

    #GGMM2025 #MolecularModeling #ComputationalBiology #ScientificCommunity

    idees.moleculair.es/ggmm2025-d

  23. Posting this months after GGMM 2025 on purpose: the takeaways still hold. Strong mix of structural bioinformatics, AI, integrative/multi‑scale modeling, and visualization; great PhD/postdoc–senior interplay. MolPlay feedback aged well and is shaping follow‑ups. Grateful for the community—see you in two years.

    #GGMM2025 #MolecularModeling #ComputationalBiology #ScientificCommunity

    idees.moleculair.es/ggmm2025-d

  24. 🧬 Can we bridge the gap between AlphaFold’s static structures and real molecular motion?

    🔗 Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.11

    📚 CSBJ: csbj.org/

    #Biophysics #ProteinDynamics #AlphaFold #CABSflex #StructuralBiology #ComputationalBiology #MolecularModeling #Bioinformatics #MolecularDynamics #ProteinFlexibility

  25. 🧬 Can we bridge the gap between AlphaFold’s static structures and real molecular motion?

    🔗 Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.11

    📚 CSBJ: csbj.org/

    #Biophysics #ProteinDynamics #AlphaFold #CABSflex #StructuralBiology #ComputationalBiology #MolecularModeling #Bioinformatics #MolecularDynamics #ProteinFlexibility

  26. 💡 AI can predict protein structures — but can it predict how they behave?

    🔗 AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis?. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.10

    📚 CSBJ: csbj.org/

    #AlphaFold3 #ProteinDesign #MolecularModeling #ComputationalBiology #StructuralBiology #Thermodynamics #ProteinProteinInteractions #Bioinformatics

  27. 💡 AI can predict protein structures — but can it predict how they behave?

    🔗 AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis?. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.10

    📚 CSBJ: csbj.org/

    #AlphaFold3 #ProteinDesign #MolecularModeling #ComputationalBiology #StructuralBiology #Thermodynamics #ProteinProteinInteractions #Bioinformatics

  28. 💡 AI can predict protein structures — but can it predict how they behave?

    🔗 AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis?. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.10

    📚 CSBJ: csbj.org/

    #AlphaFold3 #ProteinDesign #MolecularModeling #ComputationalBiology #StructuralBiology #Thermodynamics #ProteinProteinInteractions #Bioinformatics

  29. 💡 AI can predict protein structures — but can it predict how they behave?

    🔗 AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis?. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.10

    📚 CSBJ: csbj.org/

    #AlphaFold3 #ProteinDesign #MolecularModeling #ComputationalBiology #StructuralBiology #Thermodynamics #ProteinProteinInteractions #Bioinformatics

  30. 💡 AI can predict protein structures — but can it predict how they behave?

    🔗 AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis?. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.10

    📚 CSBJ: csbj.org/

    #AlphaFold3 #ProteinDesign #MolecularModeling #ComputationalBiology #StructuralBiology #Thermodynamics #ProteinProteinInteractions #Bioinformatics

  31. 🧩 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

  32. 🧩 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

  33. 🧩 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

  34. 🧬 Could the key to better genomic models lie in how we “read” sequences?

    🔗 Tokenization and deep learning architectures in genomics: A comprehensive review. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.07

    📚 CSBJ: csbj.org/

    #Genomics #DeepLearning #AIinBiology #ComputationalBiology #Bioinformatics #MachineLearning #LargeLanguageModels #Tokenization #DNASequencing #BiomedicalAI #AIinHealthcare #NextGenSequencing