BYU

Abstract by Danae Stephens

Personal Infomation


Presenter's Name

Danae Stephens

Degree Level

Undergraduate

Abstract Infomation


Department

Physics and Astronomy

Faculty Advisor

Dennis Della Corte

Title

Developing a reliable initial model for protein folding predictions.

Abstract

High-quality protein structures are needed for a variety of scientific pursuits such as medical research. The current drawback is that most proteins cannot be crystallized through traditional experimental methods. Due to this computation predictions have come to the forefront as we move forward with protien predictions. Our lab utilizes a Convoluted Nural Network (CNN) to generate structural constraints for proteins; primarily focusing on molecular distances with auxiliary predictions for torsion angles and secondary structures. My piece of this was to covert these predictions into a full atomistic protein structure. Once completed this pipeline will allow accurate predictions of any amino acid sequence of interest, thus allowing scientists in multiple fields to quickly generate and asses protein structures for reserch.