
Rachel F Weissman
@rachelfweissman
PhD Candidate @ Berkeley MCB
ID: 1248021085796347913
08-04-2020 22:53:15
11 Tweet
156 Followers
474 Following

Our newest Cats have the #synbio community SHOOK! Weāre thrilled to welcome Flora Zhiqi Wang, Rachel F Weissman, and Jorge Rodriguez to the lab!



New this week! In vivo continuous evolution takes advantage of cycles of rapid mutation, amplification and selection inside living cells @cnb_csic CSIC Beatriz Alvarez Luis Ćngel FernĆ”ndez Chang Liu Haiqi Chen UTSW Science Frances Arnold Rosana go.nature.com/3FXKnCK


Check out our paper and the accompanying perspective by Kuhlman published today in Science Magazine about the surprising role of short tandem repeats in regulating eukaryotic transcription! science.org/doi/10.1126/sc⦠science.org/doi/10.1126/sc⦠A thread (1/11):


What limits rubisco function? Is it the chemical mechanism? Evolution? In an updated pre-print Michael Prywes et. al explore this question by assaying >99% of single amino acid mutants in Form II rubisco (1/7)



What's better than 1 deep mutational scanning (DMS) library? 2! In a new pre-print Brittney Thornton and Rachel F Weissman et al. map the mutational landscape of ISDra2 TnpB protein and reRNA and leverage these datasets to engineer highly active variants (1/9)

Congrats to team TnpB Rachel F Weissman and Brittney Thornton for getting this story out! Not just one, but two DMS scans covering both protein and RNA, with plenty of insights on the sequence-function landscape and some important engineering successes!


We love generating data! But what should we do with it? We collaborated with the Jennifer Listgarten on ProteinGuide - a new method for using experimental data to guide protein generative models. Congrats to Junhao (Bear) Xiong, Hunter, Maria Lukarska, Ishan Gaur and Luke Oltrogge! ā¬ļøā¬ļø