home.social

#systemsbiology โ€” Public Fediverse posts

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

fetched live
  1. The ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—•๐—ถ๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ฎ๐—ป๐—ฑ ๐—•๐—ถ๐—ผ๐—ฝ๐—ต๐—ผ๐˜๐—ผ๐—ป๐—ถ๐—ฐ๐˜€ section of CSBJ (A Science Partner Journal) is inviting submissions for its upcoming Special Issue:

    โ€œ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—œ๐—บ๐—บ๐˜‚๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ฎ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐——๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—œ๐—บ๐—บ๐˜‚๐—ป๐—ฒ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€โ€

    โณ Submission Deadline: 30 November 2026

    ๐Ÿ”— For more information and submission guidelines, please visit: spj.science.org/journal/csbj/q

    #CallForPapers #QuantumImmunology #QuantumBiology #Immunology #SystemsBiology #Biophysics #SystemsImmunology #QuantumScience

  2. The ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—•๐—ถ๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ฎ๐—ป๐—ฑ ๐—•๐—ถ๐—ผ๐—ฝ๐—ต๐—ผ๐˜๐—ผ๐—ป๐—ถ๐—ฐ๐˜€ section of CSBJ (A Science Partner Journal) is inviting submissions for its upcoming Special Issue:

    โ€œ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—œ๐—บ๐—บ๐˜‚๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ฎ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐——๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—œ๐—บ๐—บ๐˜‚๐—ป๐—ฒ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€โ€

    โณ Submission Deadline: 30 November 2026

    ๐Ÿ”— For more information and submission guidelines, please visit: spj.science.org/journal/csbj/q

    #CallForPapers #QuantumImmunology #QuantumBiology #Immunology #SystemsBiology #Biophysics #SystemsImmunology #QuantumScience

  3. ๐Ÿค– Can artificial intelligence reveal how bacterial strains differ beneath the surface?

    ๐Ÿ”— Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0190

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #ComputationalBiology #SystemsBiology #ArtificialIntelligence #Biotechnology #SyntheticBiology

  4. ๐Ÿค– Can artificial intelligence reveal how bacterial strains differ beneath the surface?

    ๐Ÿ”— Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0190

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #ComputationalBiology #SystemsBiology #ArtificialIntelligence #Biotechnology #SyntheticBiology

  5. ๐Ÿค– Can artificial intelligence reveal how bacterial strains differ beneath the surface?

    ๐Ÿ”— Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0190

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #ComputationalBiology #SystemsBiology #ArtificialIntelligence #Biotechnology #SyntheticBiology

  6. ๐Ÿค– Can artificial intelligence reveal how bacterial strains differ beneath the surface?

    ๐Ÿ”— Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0190

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #ComputationalBiology #SystemsBiology #ArtificialIntelligence #Biotechnology #SyntheticBiology

  7. ๐Ÿค– Can artificial intelligence reveal how bacterial strains differ beneath the surface?

    ๐Ÿ”— Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0190

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #Microbiology #ComputationalBiology #SystemsBiology #ArtificialIntelligence #Biotechnology #SyntheticBiology

  8. Metaproteomics is the comprehensive study of the entire protein complement produced by complex microbial communities and their hosts, revealing the active physiological functions and interactions within ecosystems like the gut microbiome.
    #Metaproteomics #Microbiology #SystemsBiology #AnalyticalChemistry #Pharmacology #Toxicology #sflorg
    sflorg.com/2026/08/mcb08032601

  9. Metaproteomics is the comprehensive study of the entire protein complement produced by complex microbial communities and their hosts, revealing the active physiological functions and interactions within ecosystems like the gut microbiome.
    #Metaproteomics #Microbiology #SystemsBiology #AnalyticalChemistry #Pharmacology #Toxicology #sflorg
    sflorg.com/2026/08/mcb08032601

  10. Metaproteomics is the comprehensive study of the entire protein complement produced by complex microbial communities and their hosts, revealing the active physiological functions and interactions within ecosystems like the gut microbiome.
    #Metaproteomics #Microbiology #SystemsBiology #AnalyticalChemistry #Pharmacology #Toxicology #sflorg
    sflorg.com/2026/08/mcb08032601

  11. Metaproteomics is the comprehensive study of the entire protein complement produced by complex microbial communities and their hosts, revealing the active physiological functions and interactions within ecosystems like the gut microbiome.
    #Metaproteomics #Microbiology #SystemsBiology #AnalyticalChemistry #Pharmacology #Toxicology #sflorg
    sflorg.com/2026/08/mcb08032601

  12. Metaproteomics is the comprehensive study of the entire protein complement produced by complex microbial communities and their hosts, revealing the active physiological functions and interactions within ecosystems like the gut microbiome.
    #Metaproteomics #Microbiology #SystemsBiology #AnalyticalChemistry #Pharmacology #Toxicology #sflorg
    sflorg.com/2026/08/mcb08032601

  13. Geriatric frailty is significantly associated with lower bacterial diversity and impaired functional capacity within the gut microbiota. A higher degree of frailty correlates directly with fewer microbial genes and diminished microbial diversity.
    #Microbiology #Gerontology #SystemsBiology #sflorg
    sflorg.com/2026/07/mcb07082601

  14. Geriatric frailty is significantly associated with lower bacterial diversity and impaired functional capacity within the gut microbiota. A higher degree of frailty correlates directly with fewer microbial genes and diminished microbial diversity.
    #Microbiology #Gerontology #SystemsBiology #sflorg
    sflorg.com/2026/07/mcb07082601

  15. Geriatric frailty is significantly associated with lower bacterial diversity and impaired functional capacity within the gut microbiota. A higher degree of frailty correlates directly with fewer microbial genes and diminished microbial diversity.
    #Microbiology #Gerontology #SystemsBiology #sflorg
    sflorg.com/2026/07/mcb07082601

  16. Geriatric frailty is significantly associated with lower bacterial diversity and impaired functional capacity within the gut microbiota. A higher degree of frailty correlates directly with fewer microbial genes and diminished microbial diversity.
    #Microbiology #Gerontology #SystemsBiology #sflorg
    sflorg.com/2026/07/mcb07082601

  17. Geriatric frailty is significantly associated with lower bacterial diversity and impaired functional capacity within the gut microbiota. A higher degree of frailty correlates directly with fewer microbial genes and diminished microbial diversity.
    #Microbiology #Gerontology #SystemsBiology #sflorg
    sflorg.com/2026/07/mcb07082601

  18. Call for Papers:

    Omics and Metabolic Networks in Microbial Xenobiotic Degradation and Detoxification.

    Special Issue aims to bring together research and reviews that integrate omics data, metabolic network analysis, and ecological perspectives to elucidate microbial mechanisms involved in xenobiotic degradation and detoxification.

    #Xenobiotics #biodegradation #Metagenomics #SystemsBiology #environment #Bioremediation #ecology

    sciencedirect.com/special-issu

  19. Call for Papers:

    Omics and Metabolic Networks in Microbial Xenobiotic Degradation and Detoxification.

    Special Issue aims to bring together research and reviews that integrate omics data, metabolic network analysis, and ecological perspectives to elucidate microbial mechanisms involved in xenobiotic degradation and detoxification.

    #Xenobiotics #biodegradation #Metagenomics #SystemsBiology #environment #Bioremediation #ecology

    sciencedirect.com/special-issu

  20. Call for Papers:

    Omics and Metabolic Networks in Microbial Xenobiotic Degradation and Detoxification.

    Special Issue aims to bring together research and reviews that integrate omics data, metabolic network analysis, and ecological perspectives to elucidate microbial mechanisms involved in xenobiotic degradation and detoxification.

    #Xenobiotics #biodegradation #Metagenomics #SystemsBiology #environment #Bioremediation #ecology

    sciencedirect.com/special-issu

  21. Call for Papers:

    Omics and Metabolic Networks in Microbial Xenobiotic Degradation and Detoxification.

    Special Issue aims to bring together research and reviews that integrate omics data, metabolic network analysis, and ecological perspectives to elucidate microbial mechanisms involved in xenobiotic degradation and detoxification.

    #Xenobiotics #biodegradation #Metagenomics #SystemsBiology #environment #Bioremediation #ecology

    sciencedirect.com/special-issu

  22. Call for Papers:

    Omics and Metabolic Networks in Microbial Xenobiotic Degradation and Detoxification.

    Special Issue aims to bring together research and reviews that integrate omics data, metabolic network analysis, and ecological perspectives to elucidate microbial mechanisms involved in xenobiotic degradation and detoxification.

    #Xenobiotics #biodegradation #Metagenomics #SystemsBiology #environment #Bioremediation #ecology

    sciencedirect.com/special-issu

  23. ๐Ÿค– Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    ๐Ÿ”— BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

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

  24. ๐Ÿค– Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    ๐Ÿ”— BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

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

  25. ๐Ÿค– Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    ๐Ÿ”— BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

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

  26. ๐Ÿค– Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    ๐Ÿ”— BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

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

  27. ๐Ÿค– Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

    ๐Ÿ”— BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0129

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

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

  28. ๐Ÿง  What if missing data is not a flaw, but one of the most informative parts of a complex system?

    ๐Ÿ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0099

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

  29. ๐Ÿง  What if missing data is not a flaw, but one of the most informative parts of a complex system?

    ๐Ÿ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0099

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

  30. ๐Ÿง  What if missing data is not a flaw, but one of the most informative parts of a complex system?

    ๐Ÿ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0099

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

  31. ๐Ÿง  What if missing data is not a flaw, but one of the most informative parts of a complex system?

    ๐Ÿ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0099

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

  32. ๐Ÿง  What if missing data is not a flaw, but one of the most informative parts of a complex system?

    ๐Ÿ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0099

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

  33. "INTOXICOM Workshop Report: Systems Biology Models for Toxicology" doi.org/10.37044/osf.io/zf2qj_

    "The workshop took place under the INTOXICOM Implementation Study workshop series (Integrating the toxicology community into ELIXIR 2024) and aimed to strengthen connections between systems biologyand toxicology by bridging ELIXIR resources with systems toxicology modelling approaches usedfor chemical risk assessment." index.biohackrxiv.org/2026/05/

    #systemsBiology #toxicology #INTOXICOM

  34. "INTOXICOM Workshop Report: Systems Biology Models for Toxicology" doi.org/10.37044/osf.io/zf2qj_

    "The workshop took place under the INTOXICOM Implementation Study workshop series (Integrating the toxicology community into ELIXIR 2024) and aimed to strengthen connections between systems biologyand toxicology by bridging ELIXIR resources with systems toxicology modelling approaches used for chemical risk assessment." index.biohackrxiv.org/2026/05/

    #systemsBiology #toxicology #INTOXICOM

  35. "INTOXICOM Workshop Report: Systems Biology Models for Toxicology" doi.org/10.37044/osf.io/zf2qj_

    "The workshop took place under the INTOXICOM Implementation Study workshop series (Integrating the toxicology community into ELIXIR 2024) and aimed to strengthen connections between systems biologyand toxicology by bridging ELIXIR resources with systems toxicology modelling approaches usedfor chemical risk assessment." index.biohackrxiv.org/2026/05/

    #systemsBiology #toxicology #INTOXICOM

  36. ๐Ÿ“ข We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to CSBJ through the ๐—ฏ๐—ถ๐—ผ๐—ฅ๐˜…๐—ถ๐˜ƒ-๐˜๐—ผ-๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น (B2J) transfer service.

    ๐Ÿ™We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the B2J service.

    #CSBJ #bioRxiv #AAAS #OpenScience #Preprints #SystemsBiology #StructuralBiology #Biotechnology #ComputationalBiology #Omics #Nanoscience #MedicalInformatics #Biomedicine #AdvancedMaterials #Biomaterials #QuantumBiology #Biophotonics

  37. ๐Ÿ“ข We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to CSBJ through the ๐—ฏ๐—ถ๐—ผ๐—ฅ๐˜…๐—ถ๐˜ƒ-๐˜๐—ผ-๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น (B2J) transfer service.

    ๐Ÿ™We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the B2J service.

    #CSBJ #bioRxiv #AAAS #OpenScience #Preprints #SystemsBiology #StructuralBiology #Biotechnology #ComputationalBiology #Omics #Nanoscience #MedicalInformatics #Biomedicine #AdvancedMaterials #Biomaterials #QuantumBiology #Biophotonics

  38. ๐Ÿ“ข We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to CSBJ through the ๐—ฏ๐—ถ๐—ผ๐—ฅ๐˜…๐—ถ๐˜ƒ-๐˜๐—ผ-๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น (B2J) transfer service.

    ๐Ÿ™We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the B2J service.

    #CSBJ #bioRxiv #AAAS #OpenScience #Preprints #SystemsBiology #StructuralBiology #Biotechnology #ComputationalBiology #Omics #Nanoscience #MedicalInformatics #Biomedicine #AdvancedMaterials #Biomaterials #QuantumBiology #Biophotonics

  39. ๐Ÿ“ข We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to CSBJ through the ๐—ฏ๐—ถ๐—ผ๐—ฅ๐˜…๐—ถ๐˜ƒ-๐˜๐—ผ-๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น (B2J) transfer service.

    ๐Ÿ™We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the B2J service.

    #CSBJ #bioRxiv #AAAS #OpenScience #Preprints #SystemsBiology #StructuralBiology #Biotechnology #ComputationalBiology #Omics #Nanoscience #MedicalInformatics #Biomedicine #AdvancedMaterials #Biomaterials #QuantumBiology #Biophotonics

  40. ๐Ÿ“ข We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to CSBJ through the ๐—ฏ๐—ถ๐—ผ๐—ฅ๐˜…๐—ถ๐˜ƒ-๐˜๐—ผ-๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น (B2J) transfer service.

    ๐Ÿ™We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the B2J service.

    #CSBJ #bioRxiv #AAAS #OpenScience #Preprints #SystemsBiology #StructuralBiology #Biotechnology #ComputationalBiology #Omics #Nanoscience #MedicalInformatics #Biomedicine #AdvancedMaterials #Biomaterials #QuantumBiology #Biophotonics

  41. ๐Ÿฆ  Could we outsmart antibiotic resistance by turning bacteria against themselves?

    ๐Ÿ”— Rational Targeting and gRNA Design for Enhancing Quorum Quenching in Pseudomonas aeruginosa PAO1. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0089

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #AntimicrobialResistance #AMR #CRISPR #GeneEditing #SyntheticBiology #SystemsBiology #Microbiology #Biotechnology #DrugResistance #QuorumSensing #Biofilms #Genomics

  42. ๐Ÿฆ  Could we outsmart antibiotic resistance by turning bacteria against themselves?

    ๐Ÿ”— Rational Targeting and gRNA Design for Enhancing Quorum Quenching in Pseudomonas aeruginosa PAO1. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0089

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #AntimicrobialResistance #AMR #CRISPR #GeneEditing #SyntheticBiology #SystemsBiology #Microbiology #Biotechnology #DrugResistance #QuorumSensing #Biofilms #Genomics

  43. ๐Ÿฆ  Could we outsmart antibiotic resistance by turning bacteria against themselves?

    ๐Ÿ”— Rational Targeting and gRNA Design for Enhancing Quorum Quenching in Pseudomonas aeruginosa PAO1. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0089

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #AntimicrobialResistance #AMR #CRISPR #GeneEditing #SyntheticBiology #SystemsBiology #Microbiology #Biotechnology #DrugResistance #QuorumSensing #Biofilms #Genomics

  44. ๐Ÿฆ  Could we outsmart antibiotic resistance by turning bacteria against themselves?

    ๐Ÿ”— Rational Targeting and gRNA Design for Enhancing Quorum Quenching in Pseudomonas aeruginosa PAO1. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0089

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #AntimicrobialResistance #AMR #CRISPR #GeneEditing #SyntheticBiology #SystemsBiology #Microbiology #Biotechnology #DrugResistance #QuorumSensing #Biofilms #Genomics

  45. ๐Ÿฆ  Could we outsmart antibiotic resistance by turning bacteria against themselves?

    ๐Ÿ”— Rational Targeting and gRNA Design for Enhancing Quorum Quenching in Pseudomonas aeruginosa PAO1. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0089

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #AntimicrobialResistance #AMR #CRISPR #GeneEditing #SyntheticBiology #SystemsBiology #Microbiology #Biotechnology #DrugResistance #QuorumSensing #Biofilms #Genomics

  46. ๐Ÿงฌ Could a single metric decode how genes are regulated across cells?

    ๐Ÿ”— Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0044

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #GeneRegulation #Genomics #MultiOmics #SystemsBiology #Bioinformatics #ComputationalBiology #MolecularBiology #RNA #GeneExpression #Epigenetics #Transcriptomics

  47. ๐Ÿงฌ Could a single metric decode how genes are regulated across cells?

    ๐Ÿ”— Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0044

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #GeneRegulation #Genomics #MultiOmics #SystemsBiology #Bioinformatics #ComputationalBiology #MolecularBiology #RNA #GeneExpression #Epigenetics #Transcriptomics

  48. ๐Ÿงฌ Could a single metric decode how genes are regulated across cells?

    ๐Ÿ”— Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0044

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #GeneRegulation #Genomics #MultiOmics #SystemsBiology #Bioinformatics #ComputationalBiology #MolecularBiology #RNA #GeneExpression #Epigenetics #Transcriptomics

  49. ๐Ÿงฌ Could a single metric decode how genes are regulated across cells?

    ๐Ÿ”— Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0044

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #GeneRegulation #Genomics #MultiOmics #SystemsBiology #Bioinformatics #ComputationalBiology #MolecularBiology #RNA #GeneExpression #Epigenetics #Transcriptomics

  50. ๐Ÿงฌ Could a single metric decode how genes are regulated across cells?

    ๐Ÿ”— Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0044

    ๐Ÿ“š CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #GeneRegulation #Genomics #MultiOmics #SystemsBiology #Bioinformatics #ComputationalBiology #MolecularBiology #RNA #GeneExpression #Epigenetics #Transcriptomics

  51. Researchers have developed a method to deduce the complete protein landscape (proteome profile) of a living cell without destroying it by utilizing Raman spectroscopy. This light-based technique allows scientists to observe exactly how cells balance internal stability with the flexibility needed to survive changing environments.
    #Biophysics #Proteomics #Optics #SystemsBiology #sflorg
    sflorg.com/2026/04/phy04282601

  52. Researchers have developed a method to deduce the complete protein landscape (proteome profile) of a living cell without destroying it by utilizing Raman spectroscopy. This light-based technique allows scientists to observe exactly how cells balance internal stability with the flexibility needed to survive changing environments.
    #Biophysics #Proteomics #Optics #SystemsBiology #sflorg
    sflorg.com/2026/04/phy04282601