Saajan Maslanka

Computer science

Hometown: Gilbert, Arizona, United States

Graduation date: Fall 2023

Health icon, disabled. A red heart with a cardiac rhythm running through it.

FURI | Spring 2023

Developing Meaningful Protein Embeddings Using Structural Information For Use in TCR-Epitope Binding Affinity Prediction Tasks

This project aims to develop an end-to-end machine learning pipeline that utilizes predicted protein structure from AlphaFold to estimate T Cell Receptor (TCR)-Epitope binding affinity. It has been long known that the exact structural composition of proteins is a major factor in the outcome of protein-to-protein interactions. Recent work at Google resulted in the creation of AlphaFold, a machine learning model capable of accurately predicting protein structure. Prior attempts at predicting TCR-Epitope binding rely only on the underlying amino acid sequences. The researcher aims to incorporate this new information to improve upon existing methods.


QR code for the current page

It’s hip to be square.

Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future. 

Right click the image to save it to your computer.