Date of Award
Computer and Information Science
Protein design is a complex biomolecular and computational problem. Working on increasingly large protein folding problems requires an improvement in current analysis methods available. This work first discusses various methods of protein design, including de novo protein design, which is the primary focus of this thesis. Then, a new approach utilizing a B+ tree to effectively store and query a graph of keys and vertices is proposed in order to store the number of times two polypeptides are considered to be similar. This approach is found to have a reduction in time complexity from current mapping methods and thus provides a new approach by which to compute similar metrics.
Swensen, Arianna, "Improving Adjacency List Storage Methods for Polypeptide Similarity Analysis" (2022). Honors Theses. 2807.
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