We are the DLRG. We engineer bacteria to solve problems in biology and medicine. @Cornell University.

Joined December 2013
9 Photos and videos
DeLisa Research Group retweeted
My PhD work is out in @NatureComms !โœจFor the first time, we show that bacteria can glycosylate full-length monoclonal antibodies. A proof of concept and a key step toward making antibody therapies accessible to all.. nature.com/articles/s41467-0โ€ฆ #biotech #glycotime #SyntheticBiology
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DeLisa Research Group retweeted
A wonderful article on PepMLM by @xiaofei_lin in @GENbio! ๐ŸŒŸ Really captures how we think about sequence vs. structure and how, via experimental collaboration, we've gotten biologists (like Ray Truant, @DeLisaGroup, and @AguilarVirology) to believe in sequence-based design. ๐Ÿ’š
Protein Language Model Hits Undruggable Targets, No Structure Required PepMLM generates binders to challenging #therapeutic targets across cancer and neurological disease using protein sequence and no structure @pranamanam @Penn #AI #proteins hubs.li/Q03CMPXh0
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DeLisa Research Group retweeted
PepMLM is out in @NatureBiotech! ๐ŸŽญWant a short binder for any target? Just input its sequence desired binder length โ†’ PepMLM unmasks it. Simple? No way? The results speak for themselves. ๐Ÿ‘‡ ๐Ÿ“œ: nature.com/articles/s41587-0โ€ฆ ๐Ÿ’ป: github.com/programmablebio/pโ€ฆ ๐Ÿค—: huggingface.co/ChatterjeeLabโ€ฆ A few years ago, I told my undergrad @SophieVincoff (now my PhD student) to try the obvious: given the target sequence, use autoregressive next-token prediction to generate the cognate peptide binder. After tons of work, we still couldn't get it to work too well. ๐Ÿ˜”Then, my Masters student (now Harvard PhD student) @LeoTZ03 said: what if we just attach the peptide sequence to the end of its target sequence and fully fine-tune an encoder (in this case, ESM-2-650M) to unmask it? Basically, a BERT-like take on conditional (short) sequence generation. I said to @LeoTZ03: sounds kind of silly.๐Ÿ˜… Well, he did what any good student would do: he ignored me, trained the model on ~10k putative peptide-protein sequence pairs, and the in silico results were pretty amazing! PepMLM consistently outperformed RFDiffusion on held-out/structured targets, with a higher hit rate (38% to 29%) and low perplexities that closely matched real binders, with generated sequences showing target specificity even in stringent permutation tests! ๐Ÿฆพ But the proof was in the experiments, and we did a LOT of them! ๐Ÿงช In our lab, Zach showed that PepMLM peptides achieved nM binding affinity on disease-related receptor targets, like NCAM1 and AMHR2 (RFDiffusion peptides failed to bind). With the Truant Lab @McMasterU, we showed PepMLM peptides, when fused to E3 ubiquitin ligases (our uAb architecture), not only degraded MSH3 but completely eliminated Huntington protein in HD cells! ๐Ÿงซ We showed similar results by identifying a PepMLM uAb that degraded MESH1, a protein controlling ferroptosis, in collaboration with @TsanJen's group @DukeU. Again, no hits for RFDiffusion there. And with @AguilarVirology (led by @MadeleineDumas2), in collaboration with @DeLisaGroup @Cornell, PepMLM-derived peptides (in uAbs) bound and reduced levels of viral phosphoproteins from Nipah, Hendra, and HMPV, and in live HMPV infection models, they almost completely cleared the P protein! ๐Ÿฆ  I guess sometimes the "silly" ideas win. ๐Ÿ˜‚ Even though my lab is theoretically-inclined (discrete diffusion/flow matching/Schrodinger bridges) to now design more specialized/optimized/specific molecules @Penn, PepMLM is still a go-to model for my experimentalists. Remember @lauren_hong11's duAbs in @NatureComms that stabilized THE tumor suppressor p53? Yep, PepMLM. ๐Ÿ’โ€โ™‚๏ธ In fact, PepMLM has averaged ~600 downloads a month on @huggingface over the last year! It's so easy to use (takes seconds to run on Colab, with just a few lines of transformers code), you don't need to input (or go through) structure, you can enter almost any target sequence (disordered/stable, short/long), and you get a binder. And again, don't believe me, look at the diversity of proteins we've gone after! If you're an experimentalist, it's super worth it to try PepMLM. ๐Ÿ˜‡ The code/model is now fully open-sourced for both academia and industry! ๐Ÿ”“ Btw, this was an incredibly collaborative undertaking: 5 labs, across multiple amazing universities, led by co-first authors @LeoTZ03 (who led all model design, training, and validation), and Zach (@DukeU), Madeleine (@Cornell), Christina (@McMasterU ) who led each of the experimental efforts!! I'm so proud and grateful for everybody's belief that yes, sequence can be all you need for binder design! ๐Ÿ˜‰
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DeLisa Research Group retweeted
More than 30% of the world's population lacks access to essential medicines. What if we could make medicines when and where they are needed? Enter #cellfree biomanufacturing. With @DeLisaGroup @mattdelisa we show a new approach to portable medicine making. biorxiv.org/content/10.1101/โ€ฆ
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DeLisa Research Group retweeted
The test phase of biological design is too slow. How can we accelerate it? We show how cell-free systems can be used to speed up the study of post-translational modifications for RiPPs and glycosylation. @NatureComms nature.com/articles/s41467-0โ€ฆ

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Congratulations to @BelenSotomayor5 on receiving the Spring ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ ๐€๐ฎ๐ฌ๐ญ๐ข๐ง ๐‡๐จ๐จ๐ž๐ฒ ๐†๐ซ๐š๐๐ฎ๐š๐ญ๐ž ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐„๐ฑ๐œ๐ž๐ฅ๐ฅ๐ž๐ง๐œ๐ž ๐€๐ฐ๐š๐ซ๐, the highest honor awarded to a graduate student by @Cornellโ€™s CBE Department!
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Thrilled to share that Harry Zou has being awarded the NSF GRFP 2025!!! Heโ€™ll be working on novel delivery strategies for ubiquibodies, with applications in targeted protein degradation. Huge congratulations Harry!
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DeLisa Research Group retweeted
Thrilled to share our efforts in showcasing the manufacturing capabilities of cell-free gene expression for biotherapeutics.
How are we going to develop more domestic manufacturing capability that can deliver medicines? #cellfree biotechnology can help. Check out our new manuscript on scalable cell-free protein synthesis w? @akarimlab @DeLisaGroup @aw_rochelle doi.org/10.1002/bit.28993
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Congratulations to the Chatterjee Lab and Tina Ye from our lab on this exciting new publication! We introduce โ€œdeubiquibodiesโ€ (duAbs) that selectively stabilize proteins. Our study is now available at @NatureComms ! #SyntheticBiology #ProteinEngineering
Our pLM-designed peptides, when attached to E3 ligases (aka uAbs), enable us to programmably degrade disease targets (think CRISPRi, but for proteins). But what if we want to STABILIZE useful proteins? In @NatureComms, we introduce duAbs! ๐ŸŒŸ ๐Ÿ“œ: nature.com/articles/s41467-0โ€ฆ ๐Ÿงฌ: addgene.org/232089/ CRISPR is so powerful because of it's programmability. ๐Ÿงฌ Design a guide RNA, and you can guide a Cas enzyme to almost any loci for editing, especially with our PAM-flexible Cas9s! And this is not just to edit, you can both activate (CRISPRa) and inhibit (CRISPRi) gene expression too! โฌ†๏ธโฌ‡๏ธ My lab's goal is to build an analogous system for programmable proteome editingโ€”where we stabilize (CRISPRa-like) or degrade (CRISPRi-like) any protein using AI-generated "guide" peptides, like those from our peptide-generating pLMs: SaLT&PepPr, PepPrCLIP, and PepMLM! ๐Ÿ’ป In the wet lab (yes, half of my lab is experimental! ๐Ÿ‘ฉโ€๐Ÿ”ฌ), we routinely design and clone guide peptides upstream of E3 ubiquitin ligase catalytic domains to create uAbs. As you've seen in our papers, because we don't use structure-based methods (i.e. RFDiffusion or AF-based methods), we've ubiquitinated and degraded diverse disease targets with uAbs, from stable to heavily disordered! ๐Ÿงซ Here, instead of E3 ligases, we fused our peptides to the OTUB1 deubiquitinase catalytic domain (thus removing ubiquitin chains) โ€” creating a fully programmable, genetically-encoded tool for targeted protein stabilization (TPS)! Our duAbs can work on pretty much any target! ๐Ÿ™Œ Just design, clone, and transfect! ๐Ÿ’ปโžก๏ธ๐Ÿงฌโžก๏ธ๐Ÿงซ We first showed that duAbs work through true DUB-dependent mechanismsโ€”using catalytic mutants (๐Ÿงฌ๐Ÿ”ง) and pan-DUB inhibitors (๐Ÿงช) to confirm that stabilization depends on active deubiquitinase function. We also confirmed, via whole cell proteomics, that duAbs exhibit low off-target effects. ๐ŸŽฏ Then, to show programmability... We designed duAbs (via all of our algorithms) and successfully stabilized both semi-structured regulatory proteins like ฮฒ-catenin and WEE1, as well as heavily disordered, undruggable TF targets like FOXP3 and the fusion oncoprotein PAX3::FOXO1 in ARMS cells! ๐Ÿ Finally, we turned our attention to the holy grail target for TPS: tumor suppressor p53! ๐Ÿงฌ With PepMLM peptides, we first showed strong stabilization via plasmid transfection. ๐Ÿ‘ We then encapsulated our best p53-targeting duAb as mRNA in LNPs ๐Ÿ’Š๐Ÿงฌ, delivered them to human cells ๐Ÿงซ, and observed potent p53 stabilization along with downstream apoptosis induction (via cleaved PARP-1) โ˜ ๏ธโ€” a major step toward in vivo proteome editing! ๐Ÿ This is the culmination of a two year-long, herculean effort of my brilliant, first-ever PhD student, @lauren_hong11! ๐ŸŒŸ She is the glue of our lab, and I am just so grateful for the sheer persistence and positivity she brings every. single. day. ๐Ÿฆธโ€โ™€๏ธ I literally cannot imagine the lab without her. ๐Ÿฅน We're also super grateful to our collaborators in the @DeLisaGroup, and the students (most of whom @lauren_hong11 mentored, like Tian who performed all of the LNP work!) who made this possible! ๐Ÿซถ Please take a read and try out our duAb system to stabilize whatever protein you want! We have deposited the plug-and-play cloning vector on @Addgene (#232089)! ๐Ÿงฌ
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Congratulations to @BelenSotomayor5 on her induction into the ๐๐จ๐ฎ๐œ๐ก๐ž๐ญ ๐†๐ซ๐š๐๐ฎ๐š๐ญ๐ž ๐‡๐จ๐ง๐จ๐ซ ๐’๐จ๐œ๐ข๐ž๐ญ๐ฒ at @Yale as one of the @Cornell representatives! Her leadership, scholarship, character, service, and advocacy embody this prestigious honor #STEM #Leadership
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Huge congratulations to Weiyao Wang on successfully passing her B exam today! ๐ŸŽ‰๐ŸŽŠ Check out her work on engineering affinity-matured variants of an anti-polysialic acid monoclonal antibody with superior cytotoxicity-mediating potency #antibody #Science biorxiv.org/content/10.1101/โ€ฆ
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Congratulations to @BelenSotomayor5 for winning Merckโ€™s Best Oral Presentation Award ๐Ÿฅ‡ and to Deepali for wining Corningโ€™s Best Poster Presentation Award๐Ÿฅ‡ at the CBE Graduate Symposium! Delisa Lab is on fire, keep shining, team! #science
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