Faculty Advisor

Heilman, Destin

Faculty Advisor

Neamtu, Rodica

Abstract

The goal of this project is to design and implement a user-friendly machine learning tool that can be applied to the classification of polypeptides to find functional nuclear export sequences (NESs). This tool incorporates an API that takes advantage of support vector machines and can be expanded to include other models. Because NESs have been found to have consistent structure, structural data is incorporated into the model to increase confidence. This report is accompanied by a manual that instructs users on how to use the tool.

Publisher

Worcester Polytechnic Institute

Date Accepted

2020-05-15

Major

Interdisciplinary

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Chemistry and Biochemistry

Advisor Department

Computer Science

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