Weeks is engineering tools to that will allow researchers to exploit the ways the protein ubiquitin affects the fates of other proteins.
protein engineering
The Conversation: Engineering Cells to Broadcast Their Behavior
In The Conversation, Scott Coyle describes why wave patterns are so powerful in cellular engineering and how his lab has harnessed that power.
Research in Brief: The What, Why, and How
New tools developed in the Coyle Lab offer scientists an innovative way to program how molecules are organized within a cell and to explore dynamics of cellular function by harnessing patterns of movement produced by bacterial proteins.
Breaking Through the Noise of Cellular Signaling
Professor Scott Coyle will use a NIH Director’s New Innovator Award to tune into cellular signaling and explore dynamics of signaling pathways in tumors.
Building better proteins with machine learning
Neural networks and machine learning once seemed like far-fetched futuristic concepts but are now proven successful tools that can help scientists approach big problems (and big datasets). A major advantage for machine learning is that it can analyze high throughput datasets and pull out the best predictions out of millions of sequence combinations — a …
Biochemistry affiliate works to develop new bioengineering strategy
Andrew Buller, professor of chemistry at UW-Madison and affiliate of the Department of Biochemistry, is working to develop methods to create new protein building blocks in living systems. This chemical research, recently recognized with a $2.2 million grant from NIH, could make these processes more affordable for and accessible to scientists with expertise in other backgrounds.
Romero receives Shaw Scientist Award to support innovative biochemistry research
Biochemistry assistant professor Philip Romero and neuroscience assistant professor Ari Rosenberg are the recipients of 2018 Shaw Scientist Awards from the Greater Milwaukee Foundation.
Romero targets wide-ranging applications with data-driven protein engineering
Phil Romero wants to understand how proteins accomplish that job so that he can eventually apply their power to important problems in medicine, agriculture, chemistry and bioenergy. He is betting on the top-down approach: learning how protein sequence translates into function by analyzing massive data sets.