Computational Modeling of Therapy with the NMDA Antagonist in Neurodegenerative Disease: Information Theory in the Mechanism of Action of Memantine.

ABSTRACT: (1) Background: in patients with neurodegenerative diseases, noncompetitive N-methyl-D-aspartate (NMDA) receptor antagonists provide neuroprotective advantages. We performed memantine therapy and proved mathematical and computer modeling of neurodegenerative disease in this study. (2) Methods: a computer simulation environment of the N-methyl-D-aspartate receptor incorporating biological mechanisms of channel activation by high extracellular glutamic acid concentration. In comparison to controls, pathological models were essentially treated with doses of memantine 3-30 µM. (3) Results: the mean values and 95% CI for Shannon entropy in Alzheimer's disease (AD) and memantine treatment models were 1.760 (95% CI, 1.704-1.818) vs. 2.385 (95% CI, 2.280-2.490). The Shannon entropy was significant

SUBMITTER: Swietlik D 

PROVIDER: S-EPMC9027074 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature