scholarly journals Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

2020 ◽  
Author(s):  
Sezen Vatansever ◽  
Avner Schlessinger ◽  
Daniel Wacker ◽  
H. Ümit Kaniskan ◽  
Jian Jin ◽  
...  
1993 ◽  
Vol 74 (1) ◽  
pp. 8-12
Author(s):  
R. Kh. Khafizyaiiova ◽  
I. A. Studentsova ◽  
V. I. Danilov ◽  
I. S. Mokrinskaya ◽  
R. A. Garaev ◽  
...  

An experimental study of dimephpsphone, using different models of the disorders of cerebrum and cerebral circulation functions, reveals cerebroprotcctive properties and normalizing type of the effect on the regulating mechanisms of cerebral circulation. Clinical tests indicate the efficacy of the drug in different central nervous system diseases in neurological and neurosurgical clinics.


Author(s):  
Bernardo F. Sánchez-Dalmau ◽  
Anna Camós-Carreras ◽  
Ruben Torres-Torres ◽  
Johannes Keller ◽  
Laura Sanchez-Vela ◽  
...  

Author(s):  
Gayatri Gopal Shetgaonkar ◽  
Shirleen Miriam Marques ◽  
Cleona E. M. DCruz ◽  
R. J. A. Vibhavari ◽  
Lalit Kumar ◽  
...  

AbstractExosomes are extracellular vesicles with the diameter ranging from 50 to 100 nm and are found in different body fluids such as blood, cerebrospinal fluid (CSF), urine and saliva. Like in case of various diseases, based on the parent cells, the content of exosomes (protein, mRNA, miRNA, DNA, lipids and metabolites) varies and thus can be utilized as potential biomarker for diagnosis and prognosis of the brain diseases. Furthermore, utilizing the natural potential exosomes to cross the blood–brain barrier and by specifically decorating it with the ligand as per the desired brain sites therapeutics can be delivered to brain parenchyma. This review article conveys the importance of exosomes and their use in the treatment and diagnosis of brain/central nervous system diseases. Graphical abstract


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