Machine Learning-Based Design of Proteins and Small Molecules
Event details
| Date | 29.01.2020 |
| Hour | 10:00 › 11:00 |
| Speaker | Prof. Jennifer Listgarten, University of California, Berkeley, CA (USA) |
| Location | |
| Category | Conferences - Seminars |
Bioengineering Mini-Symposium - "A Morning in Machine-Learning and Protein Prediction and Design" - Talk One
(Talk Two: see here)
Abstract:
With the advent of more and more high-throughput technologies to measure protein properties of interest such as binding, expression, fluorescence, the time for machine learning to act synergistically with protein design is here. I will describe our work on accelerating the design/optimization of proteins (and small molecules) with machine learning approaches - a sort of in silico approach to the method of Directed Evolution which won the 2018 Nobel prize in Chemistry.
Zoom link for attending remotely: https://epfl.zoom.us/j/282485607
(Talk Two: see here)
Abstract:
With the advent of more and more high-throughput technologies to measure protein properties of interest such as binding, expression, fluorescence, the time for machine learning to act synergistically with protein design is here. I will describe our work on accelerating the design/optimization of proteins (and small molecules) with machine learning approaches - a sort of in silico approach to the method of Directed Evolution which won the 2018 Nobel prize in Chemistry.
Zoom link for attending remotely: https://epfl.zoom.us/j/282485607
Practical information
- Informed public
- Free
- This event is internal
Organizer
- Prof. Bruno Correia
Contact
- Prof. Bruno Correia