Parkinson’s disease (PD) is a neurodegenerative disorder that does not develop spontaneously in some animal species. PD can be induced experimentally in some laboratory animals including mouse, rat and horse. Globus pallidus (GP) and substantia nigra pars compacta (SNc) are damaged in patients with PD. The hallmark of PD is a progressive impaired control of movement, an alteration of autonomic ...

By the virtual screening method we have screened out Dihydrochalcone as a top-lead for the Alzheimer's disease using the database of about 32364 natural compounds. The binding affinity of this ligand to amyloid beta (Aβ) fibril has been thoroughly studied by computer simulation and experiment. Using the Thioflavin T (ThT) assay we have obtained the inhibition constant IC50 μM. This result is in...

By reading, you can know the knowledge and things more, not only about what you get from people to people. Book will be more trusted. As this alzheimers disease the silent epidemic, it will really give you the good idea to be successful. It is not only for you to be success in certain life you can be successful in everything. The success can be started by knowing the basic knowledge and do acti...

Parkinson’s disease (PD) is a neurodegenerative disorder that does not develop spontaneously in some animal species. PD can be induced experimentally in some laboratory animals including mouse, rat and horse. Globus pallidus (GP) and substantia nigra pars compacta (SNc) are damaged in patients with PD. The hallmark of PD is a progressive impaired control of movement, an alteration of autonomic ...

Although the vast majority of Alzheimer’s disease (AD) cases are of the sporadic type, mutations causing the familial form have been the focus of AD research for decades. The disease is pathologically characterised by β-amyloid (Aβ) and tau protein aggregates in neuritic plaques and neurofibrillary tangles. Furthermore, it is known that AD pathology spreads throughout the brain, most often alon...

Prediction of Alzheimers disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end we combine a predictive multi-task machine learning method1 with novel MR-based multivariate morphometric surface map of the hippocampus2 to predict future cognitive scores of patients. Previous work...