The science of the future.
The rapidly increasing availability of big data in the internet age presents endless opportunities to find new insights and scientific advancements.
Combining both computer science and biological as well as medical concepts, computational biology is one of the newest and most exciting fields of science today. By utilizing data to construct models and draw new conclusions, computational biology presents a new way of solving the world’s biggest problems.
OUR WORK
Featured Projects
Every year, new discoveries in computational biology are made by students across the world.
Predicting Cancer Drug Effectivity
A computational method for predicting cancer drug effectivity using machine learning techniques
Treating Alzheimer’s Disease
Molecular docking study of certain plant alkaloid derivatives as inhibitors of various drug targets of Alzheimer’s disease
Solving Multidrug Resistance
Identifying genetic anomalies in Acinetobacter baumannii in order to isolate genes responsible for multidrug resistance
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NEWS
Latest Research
View the most recent breakthroughs through our projects page.
Predicting Secondary Central Nervous System Cancer Through Ensemble Learning Methods
This past year, I worked with Dr. Xuexia Wang, at the University of North Texas, to develop a computational method for the prediction of secondary central nervous system cancer. Below[…]
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Identifying Genetic Anomalies in Acinetobacter baumannii in Order to Isolate Genes Responsible for Multidrug Resistance
Project by: Ayon Das and Shreyas Shridharan Multidrug resistance is a grave threat to global health, causing more than 23,000 deaths and 2,000,000 infections yearly in the US alone according[…]
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Making an Efficient Inhibitor of Melanoma With Melatonin: An In-Silico Molecular-Docking-Based Analysis of a Unique N-Acetyl-5-methoxytryptamine Ligand and its Binding Properties to a BRAF Protein Kinase
Project by Charles Hou and Adith Gangalakunta: Problem: Skin cancer is one of the most common and rampant diseases in the world, with a wide variety of causes and devastating[…]
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