In-silco structure prediction of beta amyloid: A novel protein in alzhemers, on different aspects

Alzheimer's disease (AD) that are relevant to the design and interpretation of clinical treatment trials. Longitudinal data from patients tested with the Alzheimer's Disease Assessment Scale demonstrate that cognitive symptoms and non cognitive symptoms. Functional measures of activities of daily living are difficult to standardize for AD patients but are important for determining the overall clinical and economic impact of AD treatments. This project is a longitudinal data collected from patients with Alzheimer's disease (AD) that are relevant to the design and interpretation of clinical treatment trials. Using NCBI, done the data mining of beta amyloid and from phylogenetic analysis , infer that Musculus is closely related to beta amyloid. From Texshade and Boxshade alignments, observed that more conserved regions are present when compared different model organisms .The energy range before docking is Energy range: Emin = -132.04, Emax = -82.92 and after docking is Energy range: Emin = -134.00, Emax = - 68.35.

Author(s): Burra Shashidher, Pabba Chandra Kama, Aitha Swetha, Atmakuru Priyanka and Namini Prudhvi

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