Cluster Analysis using Quantile Plots with Applications in Computational Chemistry
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open in viewerThe project is about proving that a program can determine the clustering of points in space, with or without the need of a user defined cutoff. The program uses a statistical method called quantile-quantile plots to find clusters of points based on their locations in space. As part of the project, it will be proven that the program can correctly cluster multi-dimensional points regardless of the distances between them. The program will also be used to try determine likely binding sites in carbohydrate-protein docking simulations, and then compare the programs results with results generated by AutoDock versions 3 and 4. The program will also try to and identify molecular epitopes, which can be represented by more than three dimensions.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-101708-055032
- Advisor
- Year
- 2008
- Sponsor
- Date created
- 2008-10-17
- Ubicación
- Athens
- Resource type
- Major
- Rights statement
- Última modificación
- 2020-11-24
Las relaciones
- En Collection:
Elementos
Elementos
Miniatura | Título | Visibilidad | Embargo Release Date | Acciones |
---|---|---|---|---|
081027-Quantile_Clustering_Report.pdf | Público | Descargar | ||
Qliinc_with_GLYLIB.zip | Público | Descargar |
Permanent link to this page: https://digital.wpi.edu/show/vq27zq12f