
Asst. Prof. @SFSU. postdoc @fraser_lab; PhD @UCBerkeley @AndyMartinLab; teaching how to take pictures of proteins. (he/him)
Joined December 2019
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Exciting work from @proteins_emma! Methods for high throughput discovery of fluoroprobes that recognize tau fibril polymorphs biorxiv.org/content/10.1101/…
Eric R. Greene retweeted
Overjoyed to share that I am starting as a tenure-track Assistant Professor of Chemistry @SJSU!
I’m excited to announce that I’ll be starting as a tenure-track Assistant Professor in the Department of Chemistry and Biochemistry @SFSU this fall!
I’m grateful to my mentors for their continued support @fraser_lab @AndyMartinLab @MarquseeLab, to my students for teaching me how to be an effective mentor, and to @SLAClab and their S2C2 facility for microscope training and data!
Eric R. Greene retweeted
I am excited to announce I've accepted a job offer at @UCSF @UCSF_BTS @QBI_UCSF where I will be starting as an Assistant Professor in July 2023!
We are hiring at all levels including specialist, grad students, and postdocs. Join us: wcoyotelab.com
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Eric R. Greene retweeted
A new study from @thisismadani, @nikhil_ai, @fraser_lab, and colleagues describe a deep-learning language model that learns “grammatical” rules to write novel protein sequences with defined functions. @chang_c_liu
liebertpub.com/doi/10.1089/g…
Eric R. Greene retweeted
ChatGPT for biology? Excited to share our work on LLMs for protein design out today @NatureBiotech
nature.com/articles/s41587-0…
+ Proud to publicly announce @ProfluentBio with a $9M seed round to tackle meaningful challenges in biology with AI. Join us!
Eric R. Greene retweeted
Excited to have our paper on using large language models like ChatGPT for protein design come out in @NatureBiotech! You can tell a language model which type of protein to design, and it can generate one from scratch! nature.com/articles/s41587-0…
Eric R. Greene retweeted
Are proteasomal tags merely escorts to the proteasome? Our results with the FAT10 proteasomal tag shows that it also modulates substrate stability to accelerate degradation biorxiv.org/content/10.1101/…
Eric R. Greene retweeted
So excited to share that the preprint for a small piece of my postdoc work is out today! biorxiv.org/content/10.1101/…
Eric R. Greene retweeted
Our 1st manuscript on DIMPLE from @ucsf @QBI_UCSF and my 1st senior author!
If interested in DMS, indels, high throughput assays, membrane proteins, and how we can combine these to explore protein evolution, disease, and structure function check it out!
biorxiv.org/content/10.1101/…
Such a privilege and great time presenting this work at #PS36! Thanks for the shoutout @oletaknowsstuff!
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Eric R. Greene retweeted
Really enjoyed revisiting my grad work and the world of site-specific ubiquitination for my first review article! Thanks to all who helped put this together!
Check out this new review on site-specific ubiquitination from our previous grad student @proteins_emma (now a postdoc with @GestwickiLab)!
sciencedirect.com/science/ar…
Eric R. Greene retweeted
Excited to share our latest preprint from the @GestwickiLab (and the first preprint of my postdoc)! Check it out! biorxiv.org/content/10.1101/…
Eric R. Greene retweeted
Fabulous - and tested - more than wishful thinking. Now - what shall we design ?
Thrilled to announce my first preprint as a postdoc, an exciting interdisciplinary effort led by @SFResearch in collaboration with @tierrabio and @fraser_lab utilizing language-based #AI to generate function proteins! doi.org/10.1101/2021.07.18.4…
Great summaries of the work can be found here xitter.gq/nikhil_ai/status/14132…, xitter.gq/thisismadani/status/14…, xitter.gq/fraser_lab/status/1417….
I contributed in vitro biochemistry and a biology-centric perspective to the project.
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It was a pleasure working directly with @nikhil_ai @thisismadani @benwkrause @joseluisolmosjr, Ben Mohr, ZacharySun, and James Holton. I am excited to continue pushing the boundaries in this space towards making designer proteins!












