Results 101 to 110 of about 25,515 (216)

Characterization of the norepinephrine-activation of adenylate cyclase suggests a role in memory affirmation pathways. Overexposure to epinephrine inactivates adenylate-cyclase,a causal pathway for stress-pathologies [PDF]

open access: yesBioSystems 100 (2010) p. 87-93, 2010
Incubation with noradrenaline (norepinephrine) of isolated membranes of rat's brain corpus striatum and cortex, showed that ionic-magnesium (Mg2+) is required for the neurotransmitter activatory response of Adenylate Cyclase [ATP pyrophosphate-lyase (cyclizing), (EC 4.6.1.1)], AC.An Mg2+-dependent response to the activatory effects of adrenaline, and ...
arxiv  

Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors [PDF]

open access: yesarXiv
Neuronal networking supports complex brain functions, with neurotransmitters facilitating communication through chemical synapses. The release probability of neurotransmitters varies and is influenced by pre-synaptic neuronal activity. Recent findings suggest that blocking astrocytic N-Methyl-D-Aspartate (NMDA) receptors reduces this variation. However,
arxiv  

Tolvaptan is successful in treating inappropriate antidiuretic hormone secretion in infants

open access: yesActa paediatrica, 2016
Daniela Marx-Berger   +6 more
semanticscholar   +1 more source

Leveraging 13C NMR spectroscopic data derived from SMILES to predict the functionality of small biomolecules by machine learning: a case study on human Dopamine D1 receptor antagonists [PDF]

open access: yesarXiv
This study contributes to ongoing research which aims to predict small biomolecule functionality using Carbon-13 Nuclear Magnetic Resonance ($^{13}$C NMR) spectrum data and machine learning (ML). The approach was demonstrated using a bioassay on human dopamine D1 receptor antagonists.
arxiv  

Comparative analysis of computational approaches for predicting Transthyretin transcription activators and human dopamine D1 receptor antagonists [PDF]

open access: yesarXiv
The study expands the application of scikit-learn-based machine learning (ML) to the prediction of small biomolecule functionalities based on Carbon 13 isotope (13C) NMR spectroscopy data derived from Simplified Molecular Input Line Entry System (SMILES) notations.
arxiv  

ICI-RS 2015 : is a better understanding of sleep the key in managing nocturia? [PDF]

open access: yes, 2018
Cherian, Jerald   +8 more
core   +2 more sources

Effect of tolvaptan on hyponatremia in a dog with syndrome of inappropriate secretion of antidiuretic hormone. [PDF]

open access: yesJ Vet Med Sci, 2023
Yamamoto H   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy