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Articles 1 - 3 of 3
Full-Text Articles in Bioinformatics
Experimental And Computational Analysis Of The Synucleins, Agatha Munyanyi
Experimental And Computational Analysis Of The Synucleins, Agatha Munyanyi
Theses and Dissertations in Biomedical Sciences
The synuclein proteins α, β and γ which are located in the brain, have been a subject of intense research. Of particular interest is α-synuclein, which is found in misfolded forms in Lewy bodies that are associated with Parkinson's disease. Despite the efforts of researchers across the world, the physiological structure and function of the synucleins remains elusive. In recent years, highly controversial reports by some investigators indicate that in its natural form, α-synuclein exists as a tetramer instead of as an intrinsically unstructured monomer. This dissertation presents results of the experimental and computational analysis of the synucleins. First, we …
Improving Structural Features Prediction In Protein Structure Modeling, Ashraf Yaseen
Improving Structural Features Prediction In Protein Structure Modeling, Ashraf Yaseen
Computer Science Theses & Dissertations
Proteins play a vital role in the biological activities of all living species. In nature, a protein folds into a specific and energetically favorable three-dimensional structure which is critical to its biological function. Hence, there has been a great effort by researchers in both experimentally determining and computationally predicting the structures of proteins.
The current experimental methods of protein structure determination are complicated, time-consuming, and expensive. On the other hand, the sequencing of proteins is fast, simple, and relatively less expensive. Thus, the gap between the number of known sequences and the determined structures is growing, and is expected to …
Modeling Stem Cell Population Dynamics, Samiur Arif
Modeling Stem Cell Population Dynamics, Samiur Arif
Computer Science Theses & Dissertations
Because of the stochastic nature of biological systems, mathematical and computational modeling approaches have become more acceptable to experimentalists and clinicians in recent years as contributing to new understandings of complicated cell mechanisms and tissue physiology. Indeed, even single cell or small tissue samples are complex dynamic systems that adapt to environmental challenges in space and time which is poorly understood. Mathematical models and computer simulations can explain and uncover unknown aspects of cell behavior and tissue functions. Models based on key biological mechanisms can give interesting insights and formulate predictions that cannot be derived from physical experiments or statistical …