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ProteomicsStructural and functional studies of CC chemokine receptor 5 phosphorylation and its interactions with arrestin2
The two non-visual arrestin isoforms, arrestin2 and arrestin3, recognize and bind hundreds of G protein-coupled receptors (GPCRs) with different phosphorylation patterns leading to distinct functional outcomes. Whereas the impact of phosphorylation of the vasopressin 2 receptor and rhodopsin on arre...
ORGANISM(S): Homo sapiens (Human) 
2023-05-24 | PXD036220 | Pride
Po4 
UnknownElectroporated recombinant proteins as tools for in vivo functional complementation, imaging and chemical biology.
Not available
S-EPMC6656429 | biostudies-literature
UnknownA multi-country analysis of COVID-19 hospitalizations by vaccination status.
Not available
S-EPMC10935543 | biostudies-literature
UnknownISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19.
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S-EPMC9339000 | biostudies-literature
UnknownPaediatric COVID-19 mortality: a database analysis of the impact of health resource disparity.
Not available
S-EPMC9621167 | biostudies-literature
UnknownRespiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study.
Not available
S-EPMC9469080 | biostudies-literature
UnknownAn international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients.
Not available
S-EPMC9534549 | biostudies-literature
UnknownCharacteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.
Not available
S-EPMC10114094 | biostudies-literature
UnknownAssociation of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19.
Not available
S-EPMC10219675 | biostudies-literature
UnknownAt-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Not available
S-EPMC11252333 | biostudies-literature
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