Effects of the dopamine receptor antagonist raclopride and the serotonin receptor antagonist LY 53857 alone and in combination on extracellular recordings of substantia nigra reticulata neurons of the rat brain

1998 ◽  
Vol 29 (1-2) ◽  
pp. 169
Author(s):  
R. Bruggeman ◽  
M.J. Heeringa ◽  
B.H.C. Westerink ◽  
W. Timmerman
1992 ◽  
Vol 106 (4) ◽  
pp. 455-458 ◽  
Author(s):  
J. Hietala ◽  
T. Seppälä ◽  
J. Lappalainen ◽  
E. Syvälahti

Viruses ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1540
Author(s):  
Beatriz Sierra ◽  
Ana Cristina Magalhães ◽  
Daniel Soares ◽  
Bruno Cavadas ◽  
Ana B. Perez ◽  
...  

Transcriptomics, proteomics and pathogen-host interactomics data are being explored for the in silico–informed selection of drugs, prior to their functional evaluation. The effectiveness of this kind of strategy has been put to the test in the current COVID-19 pandemic, and it has been paying off, leading to a few drugs being rapidly repurposed as treatment against SARS-CoV-2 infection. Several neglected tropical diseases, for which treatment remains unavailable, would benefit from informed in silico investigations of drugs, as performed in this work for Dengue fever disease. We analyzed transcriptomic data in the key tissues of liver, spleen and blood profiles and verified that despite transcriptomic differences due to tissue specialization, the common mechanisms of action, “Adrenergic receptor antagonist”, “ATPase inhibitor”, “NF-kB pathway inhibitor” and “Serotonin receptor antagonist”, were identified as druggable (e.g., oxprenolol, digoxin, auranofin and palonosetron, respectively) to oppose the effects of severe Dengue infection in these tissues. These are good candidates for future functional evaluation and clinical trials.


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