home.social

#systemsbiology โ€” Public Fediverse posts

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

fetched live
  1. My new paper: The Kinetic Elasticity Model proposes that PEM may emerge from slow GPCR desensitization/recovery kinetics - not simply from energy failure. Different upstream phenotypes may converge on a shared signaling bottleneck.

    doi.org/10.5281/zenodo.23061587

    #mecfs #cfs #CognitiveNeuroscience #neuroscience
    #systemsbiology

  2. My new paper: The Kinetic Elasticity Model proposes that PEM may emerge from slow GPCR desensitization/recovery kinetics - not simply from energy failure. Different upstream phenotypes may converge on a shared signaling bottleneck.

    doi.org/10.5281/zenodo.23061587

    #mecfs #cfs #CognitiveNeuroscience #neuroscience
    #systemsbiology

  3. My new paper: The Kinetic Elasticity Model proposes that PEM may emerge from slow GPCR desensitization/recovery kinetics - not simply from energy failure. Different upstream phenotypes may converge on a shared signaling bottleneck.

    doi.org/10.5281/zenodo.23061587


  4. My new paper: The Kinetic Elasticity Model proposes that PEM may emerge from slow GPCR desensitization/recovery kinetics - not simply from energy failure. Different upstream phenotypes may converge on a shared signaling bottleneck.

    doi.org/10.5281/zenodo.23061587

    #mecfs #cfs #CognitiveNeuroscience #neuroscience
    #systemsbiology

  5. A closed-loop artificial intelligence laboratory system capable of autonomously generating scientific hypotheses, designing and executing experiments, and analyzing the resulting biological data.
    #SystemsBiology #ArtificialIntelligence #ComputationalBiology #Biotechnology #sflorg
    sflorg.com/2026/09/bio09302601

  6. A closed-loop artificial intelligence laboratory system capable of autonomously generating scientific hypotheses, designing and executing experiments, and analyzing the resulting biological data.
    #SystemsBiology #ArtificialIntelligence #ComputationalBiology #Biotechnology #sflorg
    sflorg.com/2026/09/bio09302601

  7. A closed-loop artificial intelligence laboratory system capable of autonomously generating scientific hypotheses, designing and executing experiments, and analyzing the resulting biological data.
    #SystemsBiology #ArtificialIntelligence #ComputationalBiology #Biotechnology #sflorg
    sflorg.com/2026/09/bio09302601

  8. A closed-loop artificial intelligence laboratory system capable of autonomously generating scientific hypotheses, designing and executing experiments, and analyzing the resulting biological data.
    #SystemsBiology #ArtificialIntelligence #ComputationalBiology #Biotechnology #sflorg
    sflorg.com/2026/09/bio09302601

  9. ๐Ÿงฌ What if some single-cell trajectories are technical artifacts masquerading as biology?

    ๐Ÿ”— Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0087

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

    #scRNAseq #SingleCellOmics #Transcriptomics #Genomics #Bioinformatics #SystemsBiology #CellBiology #CellState #CellTrajectory #Omics

  10. ๐Ÿงฌ What if some single-cell trajectories are technical artifacts masquerading as biology?

    ๐Ÿ”— Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0087

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

    #scRNAseq #SingleCellOmics #Transcriptomics #Genomics #Bioinformatics #SystemsBiology #CellBiology #CellState #CellTrajectory #Omics

  11. ๐Ÿงฌ What if some single-cell trajectories are technical artifacts masquerading as biology?

    ๐Ÿ”— Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0087

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

    #scRNAseq #SingleCellOmics #Transcriptomics #Genomics #Bioinformatics #SystemsBiology #CellBiology #CellState #CellTrajectory #Omics

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. "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

  39. "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

  40. "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

  41. 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

  42. 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

  43. 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

  44. 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

  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. 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

  47. 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

  48. 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

  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. 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

  52. 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

  53. 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