Modeling life processes at the molecular and subcellular levels
Using physics-based principles and novel computational simulation techniques to advance basic biology
Computational biology is guided by the physical laws of microscopic equations of motion. Straddling quantitative biology with computational statistical mechanics, we conduct atomically detailed computer simulations that provide a comprehensive picture of biochemical and subcellular processes.
An Overview: Computational Biology
What is Computational Molecular Biophysics?
Biological processes are conducted at multiple temporal and spatial scales and are tightly regulated by the cell. Computational Molecular Biophysics focuses on fundamental and modulated processes at the subcellular and cellular levels. Many of these processes rely on molecular machines that conduct mechanical work, transmit timely signals, transport material across boundaries of compartments and execute biochemical reactions. Our research is firmly rooted in Hamilton’s equations of motions and statistical mechanics. These fundamental physical laws underpin computer simulations based on novel algorithms and theories developed to understand, predict and manipulate these processes at the atomistic level. We then conduct these simulations and test the predictions with experimental groups.
Current research areas
Examples of current research areas:
The mechanism of drug–kinase interactions
Protein kinases participate in many signaling processes, and their malfunction may cause diseases like cancer. Since there are many different kinases, it is hard to design a drug molecule that is specific to a particular pathway while also avoiding side effects. We study the drug-kinase interaction to understand the specificity of drug molecules. A success story is the drug ‘Imatinib’ that binds preferably to Abl kinase.
Cell-Penetrating Peptides
Cell-Penetrating Peptides (CPP) are small molecules that efficiently cross membrane barriers into cells and between compartments. We model the permeation process and consider the natural and synthetic design of these permeation agents.
Protein sliding along DNA
To read, synthesize and repair, protein machines slide along DNA. We point out the critical role counter ions play in the sliding process.
The operation of the Anthrax toxin
The anthrax toxin is a protein complex. It consists of a channel that enables the translocation of a protein called the Lethal Factor (LF) to the cytosol. Once in the cytosol, the LF causes significant damage. We model the translocation of the LF and use our Milestoning theory to conduct the simulations.
Working with partners
Current partnerships include collaborations with the Department of Chemistry and Department of Neuroscience at UT’s College of Natural Sciences, and with external groups and experts from University of Missouri, University of Rome, Sapienza, and the Hebrew University of Jerusalem.
Centers and Groups
To learn more about projects and people in Computational Biology, explore the centers and groups with research activities in this cross-cutting research area.
Exploring the Future of Digital Twins in Oncology: Highlights from the JCCO Retreat
The fifth annual Joint Center for Computational Oncology (JCCO) retreat highlighted advancements in digital twin technology, Researchers discussed challenges, while showcasing collaborative progress and future goals to integrate digital twins into clinical oncology.
Thomas J.R. Hughes Honored with Prestigious INSA Lyon Honorary Doctorate for Advances in Computational Mechanics
Thomas J.R. Hughes received an honorary doctorate from INSA Lyon on November 5, 2024, recognizing his research and collaborations with INSA’s LaMCoS Laboratory. A core faculty member at the Oden Institute, Hughes continues to advance engineering and medicine through innovative research and a forward-looking vision for integrating artificial intelligence with computational mechanics.
Increased Use of Paxlovid Could Cut Hospitalizations, Deaths and Costs
Using a mathematical model researchers found that using Paxlovid prescribed for COVID has the potential to reduce hospitalizations, save lives, and reduce medical costs.
New Report Urges Multiagency Action to Support Potentially Transformative Digital Twins Research
Across multiple domains of science, engineering, and medicine, excitement is growing about the potential of digital twins to transform scientific research, industrial practices, and many aspects of daily life.
This report identifies the foundational research and resources needed to support the development of digital twin technologies.
Tropical Trees Use Social Distancing to Maintain Biodiversity
Researchers discovered that adult trees in a Panamanian forest are three times more distant from other adults of the same species than what the proverbial ‘the apple doesn’t fall far from the tree’ would suggest, leading to a better understanding of forest biodiversity.
Event honored 16 students that graduated in May 2022, as well as eight other students who graduated throughout the 2021-2022 academic year
"Congratulations to all our PhD and Master's graduate students. Collectively, you represent an incredible set of accomplishments spanning computing, applied mathematics, statistics, machine learning, engineering, science, geoscience, and medicine."