Optional ZOOM LINK
Meeting ID: 978 8266 6748
Passcode: 640986

Proteins are engineerable quantities in applied bioprocesses in medicine. My group uses high-throughput, massively parallel measurements of protein function to learn sequence-function relationships. These datasets are used to learn general engineering rules to repurpose existing proteins for desired purposes. In this talk I will discuss how we leverage these datasets to understand how viral sequence diversity impacts therapeutic antibody efficacy. I will show two platforms—one that can probe viral sequence diversity, and one for antibody sequence diversity—and show how these platforms can be leveraged to understand:

1. how to design therapeutic antibodies resistant to viral escape; and
2. how natural antibodies undergo the process of affinity maturation.