Menu
The Gur Lab has unveiled a fast, practical way to read molecular “movies” and pinpoint the forces that make proteins stick together or push apart.
In the complex world inside our bodies, timing can be everything. A new study from Steven Smeal and Robin E.C. Lee reveals the timing of molecular signals can change how cells respond to their environment, with potential implications for cancer treatment and drug discovery.
A team of researchers in Assistant Professor Jishnu Das’s lab has developed a new language model that could revolutionize how scientists understand protein interactions.
Pitt virologists and computational biologists are combining their expertise to understand the replication cycle of a deadly mosquito-borne alphavirus.
PhD student Gaohan Yu delivered a talk and chaired a session at the American Physical Society Global Physics Summit.
How do you analyze millions of papers in the life sciences and physical sciences that have been published in the past 25 years? Assistant Professor Jishnu Das and PhD student Swapnil Keshari are harnessing the power of machine learning to address this question.
PhD candidate Sophia Hu delivered a talk at the 23rd International Conference on Systems Biology (ICSB), which brought together outstanding systems biology researchers from around the world.
What if there were a way to improve clinical testing for changes in our genome (variants) that cause increased risk of breast cancer? A research team led by Frederick (“Fritz”) Roth answers this question in an article in the American Journal of Human Genetics.
PhD candidate Emma Flynn recently took to the stage at the Machine Learning in Drug Discovery Symposium in Cambridge, Massachusetts, where she delivered a lightning talk.
Associate Professor David Koes and PhD candidate Ian Dunn identified promising early-stage molecules that could lead to new treatments for coronaviruses in the second CACHE Challenge.