@SSBiophysics

@Stanford Biophysics and Structural Biology Graduate Programs! Student run account.

 Stanford, CA
med.stanford.edu/biophysics/about.html
Joined February 2023
  • Tweets24
  • Following60
  • Followers160
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Happening tomorrow! Register at tinyurl.com/sbp-info.
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This is heart breaking news… Bill was an astonishing mentor, colleague, and collaborator. I was lucky to learn from him as a graduate student.
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Stanford SBiophysics retweeted
StanfordMCP@Stanford_MCP20 Oct 2023
With sorrow, we (@Stanford_MCP @SSBiophysics) share news that our friend & colleague, Bill Weis, passed away Oct 13,2023. Among many other reasons, he is missed for his discoveries, mentoring, and for the gift of his incisive intellect, wry wit, & kindness. RIP.
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To those with trouble filling out the form -- should be fixed now! Thanks for the heads up and if there's any more questions, don't hesitate to reach out to the email listed at tinyurl.com/sbp-info!
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Stanford SBiophysics retweeted
Stanford Biosciences@StanfordBiosci4 Oct 2023
Learn about our amazing graduate programs & get advice on the application process! Our virtual event includes a Q&A panel with current PhD students & break-out rooms focusing on Personal Statements, Interviews, student life & more. @StanfordMed
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Stanford SBiophysics retweeted
Benjamin Good@benjaminhgood13 Jul 2023
Jimmy will be presenting his work at the @OfficialSMBE poster session on July 24th. Please stop by and chat with him if you’re interested in learning more!
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Congrats Jimmy!!!!
Benjamin Good@benjaminhgood13 Jul 2023
Excited to share some new work led by Jimmy Ferrare. How do rapidly adapting pop'ns balance short-term selection for fitness & long-term selection for evolvability? We develop a theory to predict how these indirect selection pressures emerge from competition btw linked mutations
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Congrats @richardwshuai !!!
Richard Shuai@richardwshuai3 Jul 2023
Can current genomic sequence-to-expression models explain expression variation across individuals based on their personal genome? In the Ioannidis Lab at UC Berkeley, we evaluated 4 state-of-the-art models for this (Enformer, Basenji2, ExPecto, Xpresso) biorxiv.org/content/10.1101/…

Personal transcriptome variation is poorly explained by current genomic deep learning models

Genomic deep learning models can predict genome-wide epigenetic features and gene expression levels directly from DNA sequence. While current models perform well at predicting gene expression levels...

biorxiv.org
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Stanford SBiophysics retweeted
Richard Shuai@richardwshuai3 Jul 2023
Can current genomic sequence-to-expression models explain expression variation across individuals based on their personal genome? In the Ioannidis Lab at UC Berkeley, we evaluated 4 state-of-the-art models for this (Enformer, Basenji2, ExPecto, Xpresso) biorxiv.org/content/10.1101/…

Personal transcriptome variation is poorly explained by current genomic deep learning models

Genomic deep learning models can predict genome-wide epigenetic features and gene expression levels directly from DNA sequence. While current models perform well at predicting gene expression levels...

biorxiv.org
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Stanford SBiophysics retweeted
Carolina Tropini, PhD@CTropini30 Jun 2023
Very excited to share our latest publication, led by Adel Yavarinasab! We show real time detection of microbiota-produced SCFAs using a microfluidic chemiresistor. authors.elsevier.com/a/1hL6n…
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Stanford SBiophysics retweeted
Abby Thurm@abbythurm21 Jun 2023
And we're now online at Cell Systems! Check out the updated paper for some new analyses and overview figures that emphasize the impact of understanding transcriptional regulation by viral proteins. sciencedirect.com/science/ar…
Abby Thurm@abbythurm20 Dec 2022
First publication of grad school now out! I was super lucky to get to work on this w/ Connor, and to bridge my experience in virology with new interests in human gene regulation 🧬
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Stanford SBiophysics retweeted
Ramya Rangan@ramyarangan3 Jun 2023
It was really fun talking at #RNA23 about yeast intron structures!! Thank you for having me!
Kwok Lab@kitkwok63 Jun 2023
RNA structure & folding session 1/2 #RNA23
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Vanessa Barone@Vane_Barone31 May 2023
I am beyond thrilled to announce that I will be joining the Biology Department at @Stanford as Assistant Professor! The Barone lab will be based at @HopkinsMarine station and will open doors on March 1st, 2024. So there is still some time, but stay tuned: Cell-Evo-Devo is coming!
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Congrats @alexechu_ !!!
Alex Chu@alexechu_25 May 2023
We developed a new method for designing proteins which lets us model the entire structure, including sidechains. This involves co-designing protein structure and sequence biorxiv.org/content/10.1101/…

An all-atom protein generative model

Proteins mediate their functions through chemical interactions; modeling these interactions, which are typically through sidechains, is an important need in protein design. However, constructing an...

biorxiv.org
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Stanford SBiophysics retweeted
Gina El Nesr
@ginaelnesr23 May 2023
happy quals season to all who (unfortunately) observe(d)
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Achuthan Raja Venkatesh@achuthan_rv17 Apr 2023
Late to announce but I'm excited to share that I'll be pursuing my PhD in Biophysics @SSBiophysics! Grateful and humbled to be receiving the Stanford Graduate Fellowship to support my studies.
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Stanford SBiophysics retweeted
PrakashLab@PrakashLab8 Apr 2023
(1/2) An amazing week for the lab - engaging with TREC kickoff with so many incredible partners. @charlottebrann8 @Eliott_Flaum represented the lab. Europe has got the focus on fundamental biology for climate action right - hoping we can build similar momentum across the globe!
EMBL@embl3 Apr 2023
The TREC expedition is starting! EMBL researchers and partners are collecting the first samples in Roscoff, France to kick off the two-year mission! Want to keep up with the expedition? Follow us on @EMBLtrec. #EMBLtrec
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Congrats @nicole_delrosso !!!! Amazing work!!
Nicole DelRosso@nicole_delrosso5 Apr 2023
My first😉first author paper just came out in Nature today🎉thank you to all the co-authors, collaborator Mike Bassik, and my co-advisors Polly @fordycelab & Lacra @BintuLab. Check out the supplement that contains plots of every protein's tiling results! tinyurl.com/CRTFNature
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Congrats Ramya!!!! We are so happy for you!!
Ramya Rangan@ramyarangan17 Mar 2023
Last week I successfully defended my PhD!! It was fun talking about all things RNA structure with colleagues, friends, and family. Thanks to everyone in @RDasLab, Rhiju, @RiboGuy, @puglisilab, @mbarnalab, @nicolemmart, and everyone else who made this possible! #PhDone 🎉🎉
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Gina El Nesr
@ginaelnesr16 Mar 2023
day 0 & 1 at the keystone conference, featuring some stunning views of Banff and incredible scientific talks & conversation ✨
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