The 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

• Tessier, Michael Nathan

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-101708-055032

Advisor

• Heineman, George T.

Year

• 2008

Sponsor

• Woods Research Group at the University of Georgia

Date created

• 2008-10-17

Location

• Athens

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright

License

• All rights reserved

Last modified

• 2020-11-24