Xiaojing Gao @SynBioGaoLab
Assistant Professor @ Stanford ChemE synthetic biology, biomolecular engineering https://t.co/KAajKt7YdT gaolab.blog Stanford, CA Joined June 2019-
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Xiaojing Gao retweeted
Regulatable in vivo gene expression via adaptamers sciencedirect.com/science/articl…
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@StevenMBanik @chembioBryan Congrats, @StevenMBanik & @noScandineHere! Beautiful work and it's great to see "starting from a human starting point" team growing.
Xiaowei is the mastermind, also with contributions from current and former lab members @ sophiaburick, @haoyu_dai_dhy, @Geonhu_Lee, Zi Liu, and @santimillef. Read here: doi.org/10.1101/2025.0…
Laura Yang and @BingfeiY for guiding us through ESCAPE-seq so that we can collect an experimental proxy for HLA-I binding, and Elena Sotillo and Kevin Reynolds from the Mackall lab for CAR function validation.
Numerous biotech innovations started with adapting a protein to its non-native context, which often requires substantial experimental optimizations. Here’s a breakdown by our lead, @Xiaowei0402, on a versatile, efficient computational framework to facilitate such adaptations.
We deimmunized a clinical CD19 CAR binder with experimentally detected HLA-I epitope depletion while retaining tumor killing, and rescued a secreted protease to function in the cytosol. Both done with one unified design framework: ProVADA. How it works and what we tested 🧵
Congrats, Brian and team. It never ceases to amaze me what you guys can do with the language models!
As with biological design, AI can also accelerate biological discovery. In new work led by @_David_Li and @garykbrixi with @mfgrp, we show how genome language models enable systematic discovery of genetic elements, revealing a new class of reverse-transcriptase mechanisms.
Xiaojing Gao retweeted
As with biological design, AI can also accelerate biological discovery. In new work led by @_David_Li and @garykbrixi with @mfgrp, we show how genome language models enable systematic discovery of genetic elements, revealing a new class of reverse-transcriptase mechanisms.
@chang_m_yun @Codex_Changelog I guess for a field we care deeply about, we just can't wait for it to move fast :D Sometimes what makes the difference is whether one has the fortune of having ppl like Santi and Xiaowei to lead such projects...
@chang_m_yun @Codex_Changelog I resonate with many of your points :) I have to say tho depending on what we mean by synbio, we'd like to claim we are in the stone-bridge-to-modern-bridge age, but we could actually be in the pre-stone-bridge age imo... we could use better machine-guided stone design too.
Heading to mSBW? Check out work by @cnnrcall (Poster 47, genetically encoded urinary reporter to noninvasively monitor live molecular events), JS (Poster 46, efficient biophysical design of orthogonal DNA duplex libraries), and @mengzhang668 (talk, ablating cancer using RADAR).
Itching for the next challenge in AI for bio? Want to work as part of an interdisciplinary team that bridges several labs? Please email us.
Please RT: We're hiring! Computational postdoc for foundation model and sequence-structure-function studies of intrinsic disordered proteins through a consortium and unique large datasets. Ideal candidates have led ML/AI projects in protein design/analysis.
Xiaojing Gao retweeted
Efficient generation of epitope-targeted antibodies with Germinal - @BrianHie @SynBioGaoLab nature.com/articles/s4158…
@pdhsu @Moon_Synth_Bio @Stanford @ACSSynBio @ChEnected @AmerChemSociety Thanks Patrick!
@Moon_Synth_Bio @Stanford @ACSSynBio @ChEnected @AmerChemSociety Thank you, Tae Seok. It was great catching up!
@GallowayLabMIT @Moon_Synth_Bio @Stanford @ACSSynBio @ChEnected @AmerChemSociety thank you for the kind words, Katie lol that means a lot to me!
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