Connection

A Venkatakrishnan to Humans

This is a "connection" page, showing publications A Venkatakrishnan has written about Humans.
Connection Strength

0.023
  1. Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. Elife. 2020 05 28; 9.
    View in: PubMed
    Score: 0.007
  2. Intravenous bamlanivimab use associates with reduced hospitalization in high-risk patients with mild to moderate COVID-19. J Clin Invest. 2021 10 01; 131(19).
    View in: PubMed
    Score: 0.002
  3. Healthcare disparities among anticoagulation therapies for severe COVID-19 patients in the multi-site VIRUS registry. J Med Virol. 2021 Jul; 93(7):4303-4318.
    View in: PubMed
    Score: 0.002
  4. Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations. Sci Rep. 2021 02 26; 11(1):4741.
    View in: PubMed
    Score: 0.002
  5. Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC). Elife. 2020 08 17; 9.
    View in: PubMed
    Score: 0.002
  6. Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis. Elife. 2020 07 07; 9.
    View in: PubMed
    Score: 0.002
  7. SARS-CoV-2 strategically mimics proteolytic activation of human ENaC. Elife. 2020 05 26; 9.
    View in: PubMed
    Score: 0.002
  8. D4 dopamine receptor high-resolution structures enable the discovery of selective agonists. Science. 2017 10 20; 358(6361):381-386.
    View in: PubMed
    Score: 0.001
  9. Mechanism of intracellular allosteric ß2AR antagonist revealed by X-ray crystal structure. Nature. 2017 08 24; 548(7668):480-484.
    View in: PubMed
    Score: 0.001
  10. Crystal Structure of an LSD-Bound Human Serotonin Receptor. Cell. 2017 01 26; 168(3):377-389.e12.
    View in: PubMed
    Score: 0.001
  11. Deciphering membrane protein structures from protein sequences. Genome Biol. 2012 Jun 27; 13(6):160.
    View in: PubMed
    Score: 0.001
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.