Gene-Wei Li Lab

Gene-Wei Li's lab @MITBiology, studying the quantitative biology of gene expression. Account run by lab members.

[Gene-Wei Li Lab @GeneWeiLiLab]

Thrilled to share the latest from @bioSavinov, K99 fellow in the lab & corresponding on this work together w/ @LinsdayCase19. Andrew & @jibin_sadasivan show that protein fragments discovered with our FragFold AI method act as generalizable regulators of biomolecular condensates!

[Andrew Savinov @bioSavinov]

Interested in genetically encodable inhibitors of your favorite biomolecular condensate? Excited to announce our latest work, w/ @jibin_sadasivan, @GeneWeiLiLab, & @LindsayCase19, on protein fragments as generalizable regulators of phase separation. (1/n)
https://t.co/6IMkrTP3ZQ

[Andrew Savinov @bioSavinov]

What a fantastic visit. Thanks to @omenndarlingbio and @PrincetonMolBio for hosting!

[Andrew Savinov @bioSavinov]

Thrilled to contribute to this exciting work on protein binder design together w/ @HannesStaerk, @felix_faltings, @BarzilayRegina, Tommi Jaakkola, and co. We applied BoltzGen to design novel antimicrobial peptides targeting DNA gyrase based on inhibitory protein fragments. (1/n)

[Andrew Savinov @bioSavinov]

Agreed, Yunha. Fantastic to discuss the interplay of AI & biology with you, Teja, & great attendees @BostonBacteria. Many thanks to David for moderating.
Opportunities for new discoveries are vast, esp. if we keep pushing systematic experimental measurements alongside AI models!

[Gene-Wei Li Lab @GeneWeiLiLab]

An exciting step towards connecting proteomes with one of the most basic phenotypes of a cell! Work led by @scottmccain5 w/ @GeneWeiLiLab @gregorybritten Sean Hackett and Mick Follows. @MIT @MITBiology @HHMINEWS

[Scott McCain @scottmccain5]

What are cells doing?? Here we showed that proteomic composition encodes information about cellular reaction rates. This is a step forward to reconstructing these important activities using protein-based observations.

https://t.co/b15qbte8Hz

[Andrew Savinov @bioSavinov]

Hot on the heels of excellent work from @SvenssonLab, more evidence of large-scale generation of functional protein fragments by proteolysis https://t.co/fDnONai5Cr

Very exciting to see this convergence with our work showing pervasive function of protein fragments in vivo! (1/2)

[Andrew Savinov @bioSavinov]

Fantastic to see these physiologically functional protein fragments, congrats all!
This aligns with our work demonstrating pervasive functionality of protein fragments in living cells (& ability to predict their binding partners): https://t.co/jecm5NNjgy https://t.co/2SSeVkAj2m

[MIT Science @ScienceMIT]

A new method developed in @MITBiology builds on existing artificial intelligence models to computationally predict protein fragments that can bind to and inhibit full-length proteins in E. coli https://t.co/BX0aNvtCxQ

[Andrew Savinov @bioSavinov]

Great to see this piece from @MITBiology highlighting our work on discovering protein fragments to inhibit protein interactions in cells! Thanks @LillianWEden for the write-up.

[MIT Biology @MITBiology]

Story coming soon from @LillianWEden

[Gene-Wei Li Lab @GeneWeiLiLab]

Thrilled to announce the final version of our paper on computational discovery of protein fragments that can inhibit cellular protein interactions, led by Andrew Savinov (@bioSavinov), now published in @PNASNews.
@MITBiology @ScienceMIT @HHMINews

[Andrew Savinov @bioSavinov]

Happy to announce that our paper on systematically discovering peptides to inhibit protein-protein interactions in living cells is out now @PNASNews: https://t.co/jecm5NMLr0.

@MITBiology @ScienceMIT @HHMINews

See quoted thread on the updated preprint for details:

[Boston Protein Design and Modeling Club @ProteinBoston]

for the folks who missed @bioSavinov's fantastic seminar this week, you can check out the recording 👇
https://t.co/xEk9LOGsUL

and thanks again to @pillar_vc for hosting!

[Gene-Wei Li Lab @GeneWeiLiLab]

Check out Li lab postdoc Andrew Savinov's (@bioSavinov) updated manuscript on our computational approach to predict inhibitory protein fragments at scale -- now complemented by extensive new deep mutational scanning experiments. @MITBiology @ScienceMIT @HHMINews

[Andrew Savinov @bioSavinov]

Excited to share our updated manuscript on FragFold, the massively parallel AlphaFold-based approach we’ve developed to discover protein fragment inhibitors at scale -- w/ @SassSeabass, @keating_lab, and @GeneWeiLiLab. https://t.co/hava9PHmEa (1/n)

[Gene-Wei Li Lab @GeneWeiLiLab]

Excited to share a new preprint from the lab, 'Microbial reaction rate estimation using proteins and proteomes'!

[Scott McCain @scottmccain5]

Excited to share some work from my postdoc! In our recent preprint (w/ @gregorybritten @GeneWeiLiLab Sean Hackett and Mick Follows), we ask how to use proteomic data to estimate in vivo reaction rates? (1/n)

[Gene-Wei Li Lab @GeneWeiLiLab]

Truly excited to join this awesome community and make new breakthroughs! @MITBiology @HHMINEWS

[Andrew Savinov @bioSavinov]

Massive congratulations to my postdoc mentor Gene Wei-Li @GeneWeiLiLab for being named an HHMI Investigator! Deeply deserved, and I am incredibly excited for the transformative science that lies ahead.
Congrats as well to the rest of this amazing cohort.
@MITBiology @ScienceMIT

[Andrew Savinov @bioSavinov]

Was great to have the opportunity to highlight my research program on the power of protein fragments to rewire protein interactions in living cells! @MITBiology

[Gene-Wei Li Lab @GeneWeiLiLab]

Congratulations to Li lab graduate student Manraj Gill on being awarded the William Asbjornsen Albert Memorial Fellowship for his academic accomplishments and his commitment to the MIT community! @MITGradStudents @ScienceMIT

[Gene-Wei Li Lab @GeneWeiLiLab]

Congratulations to Li lab postdoc Andrew Savinov (@bioSavinov) for receiving an Infinite Expansion Award, recognizing his outstanding service to the MIT community!
https://t.co/BtaQP4yT54