Sarah Wait
@sarahwait4
@UWMoles PhD Candidate | Herbold Research Fellow | NSF Graduate Research Fellow | Outdoor Enthusiast 🏕🚵♀️
ID:2408332154
24-03-2014 04:21:09
607 Tweets
166 Followers
216 Following
Historically, protein engineering required extensive time & resources, relying heavily on trial & error. Research from Sarah Wait & uwberndtlab looks at how machine learning models can more efficiently guide protein sensor design, with exciting results! bit.ly/berndtai
'We were able to circumvent the trial-and-error approach by using machine learning algorithms to predict how different mutations would perform in the real world.' Sarah Wait uwberndtlab UW Bioengineering bit.ly/3vHgQMT Nature Computational Science
How machine learning was applied to speed the engineering of brighter fluorescent proteins that quickly dim, ready to shine again, with potential as improved biosensors for studies of rapid neuron firing Sarah Wait uwberndtlab UW Bioengineering Nature Computational Science tinyurl.com/3vpe44fu
Ending my several year long Twitter (X?) hiatus to celebrate my first-first author paper, out today in Nature Computational Science!
This is not how Allen School — or any of us — imagined kicking off winter quarter, but we want to amplify this statement calling out the misogyny of an emeritus (retired) faculty member.
When #NobelPrize laureates Emmanuelle Charpentier and Jennifer Doudna investigated the immune system of a Streptococcus bacterium they discovered a molecular tool that can be used to make precise incisions in genetic material, making it possible to easily change the code of life.