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#ptm — Public Fediverse posts

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

  1. The authors use affinity-based protein profiling with photoaffinity probes to elucidate PTM-dependent changes in protein ligandability in the proteome. To induce global changes of the PTM landscape, they use broad spectrum inhibitors like staurosporine to inhibit protein kinases and tunicamycin to inhibit N-linked glycosylation. Very interesting findings that many ligand interactions are affected either by direct or downstream effects. (2/2)

    #ChemicalProteomics #ChemBio #DrugDiscovery #PAL #PTM

  2. The authors use affinity-based protein profiling with photoaffinity probes to elucidate PTM-dependent changes in protein ligandability in the proteome. To induce global changes of the PTM landscape, they use broad spectrum inhibitors like staurosporine to inhibit protein kinases and tunicamycin to inhibit N-linked glycosylation. Very interesting findings that many ligand interactions are affected either by direct or downstream effects. (2/2)

    #ChemicalProteomics #ChemBio #DrugDiscovery #PAL #PTM

  3. The authors use affinity-based protein profiling with photoaffinity probes to elucidate PTM-dependent changes in protein ligandability in the proteome. To induce global changes of the PTM landscape, they use broad spectrum inhibitors like staurosporine to inhibit protein kinases and tunicamycin to inhibit N-linked glycosylation. Very interesting findings that many ligand interactions are affected either by direct or downstream effects. (2/2)

    #ChemicalProteomics #ChemBio #DrugDiscovery #PAL #PTM

  4. The authors use affinity-based protein profiling with photoaffinity probes to elucidate PTM-dependent changes in protein ligandability in the proteome. To induce global changes of the PTM landscape, they use broad spectrum inhibitors like staurosporine to inhibit protein kinases and tunicamycin to inhibit N-linked glycosylation. Very interesting findings that many ligand interactions are affected either by direct or downstream effects. (2/2)

    #ChemicalProteomics #ChemBio #DrugDiscovery #PAL #PTM

  5. The authors use affinity-based protein profiling with photoaffinity probes to elucidate PTM-dependent changes in protein ligandability in the proteome. To induce global changes of the PTM landscape, they use broad spectrum inhibitors like staurosporine to inhibit protein kinases and tunicamycin to inhibit N-linked glycosylation. Very interesting findings that many ligand interactions are affected either by direct or downstream effects. (2/2)

    #ChemicalProteomics #ChemBio #DrugDiscovery #PAL #PTM

  6. The liver #transcriptome is highly sensitive to metabolic cues. By characterizing nuclear protein #OGlcNAcylation in mouse #liver during the day, this study shows how shifts in a nutrient-sensitive #PTM may shape transcriptional regulation @PLOSBiology plos.io/3KuS7m1

  7. The liver #transcriptome is highly sensitive to metabolic cues. By characterizing nuclear protein #OGlcNAcylation in mouse #liver during the day, this study shows how shifts in a nutrient-sensitive #PTM may shape transcriptional regulation @PLOSBiology plos.io/3KuS7m1

  8. The liver #transcriptome is highly sensitive to metabolic cues. By characterizing nuclear protein #OGlcNAcylation in mouse #liver during the day, this study shows how shifts in a nutrient-sensitive #PTM may shape transcriptional regulation @PLOSBiology plos.io/3KuS7m1

  9. The liver #transcriptome is highly sensitive to metabolic cues. By characterizing nuclear protein #OGlcNAcylation in mouse #liver during the day, this study shows how shifts in a nutrient-sensitive #PTM may shape transcriptional regulation @PLOSBiology plos.io/3KuS7m1

  10. The liver #transcriptome is highly sensitive to metabolic cues. By characterizing nuclear protein #OGlcNAcylation in mouse #liver during the day, this study shows how shifts in a nutrient-sensitive #PTM may shape transcriptional regulation @PLOSBiology plos.io/3KuS7m1

  11. #PTM-Mamba is a new #PTM-Aware #protein #language model (#pLM)

    biorxiv.org/content/10.1101/20

    Seeing the high recall and low precision scores makes me wonder if it is time to talk more about the high #imbalance in PTM data and the prevalence of #PositiveUnlabeled samples residues

  12. MSII filtering can be applied to #RTI/
    #PTM datasets when converted to 3D. Great cooperation with LDA Sachsen-Anhalt and
    #Fraunhofer IFF
    creating a curvature based 2D/3D benchmark dataset: doi.org/10.5334/joad.116 @nfdi4objects @nfdi4culture

  13. Une splendide et spectaculaire découverte au @MusTemploMayor . Alejandra Aguirre et Antonio nous proposent un contexte incroyablement complexe et passionnant à la fois. Avec des photos non moins précises de Mirsa Islas.

    rb.gy/1wk2l

    #ptm #archaeology #arqueología #mexico #Tenochtitlan

  14. When stressed or infected, plants modify proteins by #ADP-ribosylation. But how are these signal interpreted? New data from the Kangasjärvi lab shows that transcriptional co-regulator RCD1 binds to poly-ADP-ribose chains and might act as a PAR 'reader'. #PTM #PARP #plantscience t.ly/HHyP

  15. When stressed or infected, plants modify proteins by #ADP-ribosylation. But how are these signal interpreted? New data from the Kangasjärvi lab shows that transcriptional co-regulator RCD1 binds to poly-ADP-ribose chains and might act as a PAR 'reader'. #PTM #PARP #plantscience t.ly/HHyP

  16. When stressed or infected, plants modify proteins by #ADP-ribosylation. But how are these signal interpreted? New data from the Kangasjärvi lab shows that transcriptional co-regulator RCD1 binds to poly-ADP-ribose chains and might act as a PAR 'reader'. #PTM #PARP #plantscience t.ly/HHyP

  17. Portugal. The Man pushing their own cryptocurrency now 😢 #PTM