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College of Engineering and Computing


Biomedical Engineering

Computational Biology / Computational Medicine

Active Site Identification Using Multiple Structure Alignment With msTALI

This study investigates msTALI's utility for active site identification of proteins such as e.g., ATPases and Kinases.

Characterization of Dynamics Through RDCs

The aim of this project is to identify and characterize protein dynamics that are necessary for protein function and may be manipulated for e.g., drug design. 

Curvature and Tension Effects on Protein Segregation on Phase Separated Lipid Bilayers

This project aims to advance the use of the lipid raft concept in medicine by using molecular modeling and theoretical approaches to determine the impact of lipid-lipid and protein-lipid interactions on the structure and functionality of the cell membrane.

Denovo Assembly of Transcriptomes From Next Generation Sequencing Data

This project uses the software package Trinity to reassemble and analyze transcriptomic data. 

Detection of Smoking Gestures Using Accelerometer Data And Wearable Technologies

The goal of this project is to develop an android based app for smartwatches that will automatically detect smoking gestures thus bypassing the issue of self-reporting.

Identification and Refinement of Structures From Unassigned RDC Data using PDPA

Probability Density Profile Analysis (PDPA) is used to bypass assignment by using multiple correlated unassigned Residual Dipolar Couplings (RDCs) data sets and an estimation of experimental error to produce a probability density function (PDF) for the true distribution of RDC's, which has been shown to provide an effective means for structure calculations of proteins.

Improvement of Triage Procedures for Mass Casualty Incidents Through Use of a Mobile App

The aim of this study is to develop a robust computer-based informatics tool to improve early chemical identification and to enhance patient processing and triage in the emergency department following a mass casualty incident. 

Metabolic Pathway Optimization

This project uses branch-and-bound principles to analyze metabolic pathways in model organisms such as Saccharomyces cerevisiae.

Predictive Analytics for Building Accurate Diagnostic and Prognostic Models

This project is focused on building accurate diagnostic and prognostic models based on predictive analytics and modeling. 

Structure Calculation From RDCs

The software REDCRAFT is used to fold proteins from Residual Dipolar Couplings (RDCs) to study their structures.