Jeff Martell
@jeffmartell.bsky.social
110 followers 130 following 31 posts
Assistant Professor, UW-Madison Chemistry. Group website: http://martellgroup.chem.wisc.edu.
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jeffmartell.bsky.social
Excited to share our new preprint, which was years in the making! chemrxiv.org/engage/chemr...
New reactions are typically developed by trial and error. How can we speed up this process? Read on to learn how we used DNA scaffolding to perform >500,000 parallel reactions on attomole scale.
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DNA-Scaffolded Ultrahigh-Throughput Reaction Screening
Discovering and optimizing reactions is central to synthetic chemistry. However, chemical reactions are traditionally screened using relatively low-throughput methods, prohibiting exploration of diver...
chemrxiv.org
jeffmartell.bsky.social
Congratulations, Philip!
Reposted by Jeff Martell
jeffmartell.bsky.social
Congrats to Ashley Ogorek and @shubha-pani.bsky.social‬, who co-led this study, as well as the entire team: Eli, Jelena, Yichong, Fernando, Rachel, @xuhuihuangchem.bsky.social‬. This was a really fun collaboration with ‪@chembiobryan.bsky.social‬ - stay tuned for more to come!

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jeffmartell.bsky.social
The enhanced bioorthogonality of the bCP ester enabled us to perform spatially-resolved RNA proximity labeling and RNA sequencing, including in human cells lines with high endogenous esterase activity.

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jeffmartell.bsky.social
The pCP / evolved BS2 pair performs well in multiple sub-compartments of mammalian cells.

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jeffmartell.bsky.social
We teamed up with @xuhuihuangchem.bsky.social to perform structural modeling and substrate docking to gain insights into the beneficial mutations.

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jeffmartell.bsky.social
Using DEEPMACh, we evolved BS2 esterase to increase activity toward pCP esters more than 230-fold.

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jeffmartell.bsky.social
To overcome this challenge, we developed a new platform, Directed Evolution of Enzymes via Masked Acid Chloride Probes ("DEEPMACh”). DEEPMACh combines yeast surface display with masked acylating probes, enabling rapid screening of >40 million enzyme mutants.

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jeffmartell.bsky.social
…BS2 esterase shows very low activity toward the pCP ester.

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jeffmartell.bsky.social
The methylcyclopropyl (mCP) ester protecting group together with BS2 esterase has been applied as a bioorthogonal system, but background unmasking of mCP occurs in mammalian cells. We found that the bulkier phenylCP group was much more bioorthogonal! However…

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jeffmartell.bsky.social
Context: combining bioorthogonal protecting groups with localized catalysts that unmask them is a powerful approach to modulate molecular activity. However, existing protecting groups are insufficiently bioorthogonal, or the catalysts that unmask them cannot be genetically targeted. 2/n
jeffmartell.bsky.social
Thank you! We didn't run into mixing/order of addition issues. Nearly all components are already on DNA, and we add Cu last to commence the reaction. For mixing, we did vortexing then centrifugation, which worked well for our 20 uL scale reactions.
Reposted by Jeff Martell
tehshik.bsky.social
Really proud of Riley's preprint on a new class of chiral Lewis acid photocatalysts. This project benefitted from a terrific collab with @chemguyeli.bsky.social chemrxiv.org/engage/chemr...
jeffmartell.bsky.social
Congratulations, Phill! Very well-deserved!
jeffmartell.bsky.social
Thanks especially to Matt and Beck for collaborating with us to merge our platform with data science and ML, and to Josh and Daniel (‪@coonlab.bsky.social‬) for performing essential mass spec characterization of the DNA-small molecule conjugates.‬‬

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jeffmartell.bsky.social
Big congrats to co-1st authors Caleb Cox and @edwardpimentel.bsky.social‬ who showed incredible persistence and creativity, and to all co-authors: Beck Miller, Daniel Nesbitt, Justice LeMonds, @ethan-hartman-125.bsky.social‬, Tate Hancock, Robert Kennedy, Josh Coon, and Matt Sigman.

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jeffmartell.bsky.social
Overall, we believe this platform opens fundamentally new opportunities in data-driven discovery, optimization, and mechanistic understanding of synergistic catalytic reactions. There are many new directions we’re excited to explore – stay tuned for more in the coming years!

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jeffmartell.bsky.social
Excitingly, we observed correlation between ML predicted DNA nanoscaffold yields and experimental DNA-free reactions, including for kinetic time courses and for reactants not represented in the original DNA nanoscaffold library.

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jeffmartell.bsky.social
We teamed up with Matt Sigman and Beck Miller to use data science in library design and to combine our datasets with ML to generate predictive models. The model covers 18,000 reactant combinations under many reaction conditions.

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jeffmartell.bsky.social
Using our platform, one researcher performed >500,000 reactions in parallel with less than 3 days of bench time. By incorporating standards and calibration curves, we obtained precise DNA-scaffolded reaction yields using DNA sequencing.

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