Before there were chickens or eggs, there were RNA molecules that gained the ability to duplicate themselves. How did these molecules manage to do this outside of cells on the early earth, and how did this lead to life as we know it?
One of the greatest powers of research is harnessing symbiotic relationships among different fields, and biological research is no exception. With the growth of bioinformatics, a field dedicated to developing computational methods for biology, collecting extremely large datasets has become easier and more widespread. As a result, biochemical methods are increasingly informed by these datasets, and in turn, the complexity of biochemical systems provides an excellent source of material for bioinformatic analysis. Our group "Biochemistry and Bioinformatics in Society" is interested in exploring this interface between biochemistry and bioinformatics. Specifically, we will be sharing insights into the impact that discoveries from this interface have on various aspects of society, such as policy and healthcare/medicine.
When people take multiple prescription drugs at the same time, dangerous drug-drug interactions can occur. Scientists are working to predict drug-drug interactions before they happen in people – by teaching computers how to read!
Commercialized genome sequencing is on the rise. Ancestral knowledge and disease risk information are at our fingertips. What does this mean for medicine and our future?
Clinicians spend years training to accurately interpret medical imaging like X-rays in order to recognize and diagnose diseases. However, a recent research article identifies an unlikely candidate for interpreting medical images: Columba livia, an animal you might recognize as the common pigeon. Researchers in this study showed that, with food reward and several days of practice, it is possible to train pigeons to tell the difference between healthy and cancerous tissue.