Karl Barber

[Karl Barber @KarlBarbr]

Chroma out in Nature today! So glad to finally be able to share details of our experimental validation including x-ray crystallography with the world 💎 tl;dr, our generative model for protein design is working really well. Publicly available code, click through below!

[Generate:Biomedicines @generate_biomed]

Today we release Chroma, our generative model for protein design, open-source on Github with a Nature publication describing its biophysical and crystallographic validation. Chroma Conditioners enable one model to target multiple protein design objectives. https://t.co/u5P0c9b2wT

[Nature Biotechnology @NatureBiotech]

Have a look at our top ten news stories in 2023. In pole position — predictably — is Wegovy, the weight-slashing GLP-1 agonist, with AI-hallucinated proteins a close second https://t.co/d4EtiFoiHE

[Kevin Zhao @kevintzhao93]

Excited to share a new TALE-based base editor system with greater precision for use in nuclear and organelle genomes in both mammalian and plant cells! Another great collaboration with @CaixiaGaoLab 🧬🌱 🎉🎉🎉

[Xiwen Gong @XiwenGong]

Fun weekend at DC to discuss science, policy, interdisciplinary research with many good friends from @SchmidtFellows @yogeshgoyallab @KarlBarbr. Super excited to meet many talented researchers from @CIFAR_News @Zak_AlBalushi @TJRyan_77 @adeelrazi.

[Karl Barber @KarlBarbr]

@ChrisNardone95 Congrats Chris!!!!

[Chris Nardone @ChrisNardone95]

Thrilled to share my first paper from grad school out today in Mol Cell! I am incredibly grateful to the Elledge lab and my wonderful collaborators/friends, without them this work would not have been possible. https://t.co/SlAoxtlfxP

[Karl Barber @KarlBarbr]

A delight to reconnect with @SchmidtFellows at the Senior Fellows event in Northern CA! The community is more vibrant than ever. Wishing a wonderful meeting series this week to the new fellows!

[Karl Barber @KarlBarbr]

My final first-author paper from the Elledge lab describing dCas9-based peptide/protein display by gRNA barcode sequencing is now out @CellRepMethods!

[Cell Reports Methods @CellRepMethods]

CasPlay provides a gRNA-barcoded CRISPR-based display platform for antibody repertoire profiling https://t.co/78y61Wsdev

[Emma V. Watson @game_of_chroms]

The Watson Lab opens this fall at @UMassChan in the Dept. of Sys. Bio! Grateful for all my friends in @elledge_stephen lab, I will miss you.
If you enjoy meddling with chromosomes & hate cancer, join us! #newPI #chromosomes #cancer
Tech Opening: https://t.co/vOHHzk3T8B

[Dr. Lauren Reynolds @laurenmac_r]

hi everyone, my cat Pinotte survived a 7 story fall from my balcony last week while I was away in the states. any and all support for her speedy recovery is MUCH appreciated💕 https://t.co/kVrJz33cG8 please feel free to share !

[Schmidt Science Fellows @SchmidtFellows]

Eric and Wendy Schmidt announce the 2022 Schmidt Science Fellows - https://t.co/kA5jwmxK3O 29 new Fellows will harness interdisciplinary science to make a positive impact on the world @SchmidtFutures @Rhodes_Trust

[Karl Barber @KarlBarbr]

If I retweeted all of Chidi’s accomplishments my Twitter would just be that! But this is really big! Congrats Chidi on all the hard work paying off!!!!

[Chidi Akusobi MD, PhD @ChidiAkusobi]

Excited to announce that the first paper from my PhD work is now out!

We characterized a uniquely essential cell wall synthesis enzyme (PBP-lipo) in M. abscessus that is required for normal cell growth/division and mediates sensitivity to several abx.

https://t.co/9Xzw3CSx5i

[Chidi Akusobi MD, PhD @ChidiAkusobi]

Introducing Dr. Chidiebere Akusobi. MD, PhD.

8 years later my journey at Harvard Medical School has come to an end. Right now I’m feeling blessed and incredibly grateful for the process and my progress. Thank you to my family, dear friends, and wonderful communities. We did it!

[Karl Barber @KarlBarbr]

@JoelArn29802890 @MolecularCell Thanks I really appreciate it!!! 😃

[Karl Barber @KarlBarbr]

Elated to share my latest work, “CRISPR-based peptide library display and programmable microarray self-assembly for rapid quantitative protein binding assays”, online today @MolecularCell! I’ll give a quick rundown of our technology, which we’re calling PICASSO. 1/16

[Molecular Cell @MolecularCell]

Online Now: CRISPR-based peptide library display and programmable microarray self-assembly for rapid quantitative protein binding assays https://t.co/9JwYy1chbD

[Karl Barber @KarlBarbr]

Had an amazing experience attending and presenting at @CMBE_BMES! Hugely grateful to the conference organizers for putting together an amazing program in this picturesque locale. So grateful to connect and reconnect with the community

[Schmidt Science Fellows @SchmidtFellows]

Congratulations @yogeshgoyallab on being named a 2021 STAT Wunderkind today! Read more about the award from @statnews in our latest news story: https://t.co/MqLnDJQ2GO

[Evan Zhao @EvanZhao6]

@angelosmao and I are excited to share our new story out in @NatureBiotech today! Under the tutelage of the amazing and supportive Professor James J. Collins, we introduce a new wrinkle for mammalian cell synthetic biology.

https://t.co/otUH6tahpp

[Dr. Lauren Reynolds @laurenmac_r]

Truly thrilled to share with you that I have been selected as a 2021 Young Talent from the #FondationLOreal and @UNESCO For Women in Science program #FWIS!
I am incredibly honored to be included among these brilliant young scientists! ⬇️

[Karl Barber @KarlBarbr]

Thank you @VIBLifeSciences for a lovely and thought-provoking conference, and for giving me this opportunity to spread the word about PICASSO! Please check out my paper @MolecularCell to read about our CRISPR-based peptide display and self-assembly strategy (link in pinned tweet)

[VIB @VIBLifeSciences]

The #GESB21 poster prize winner is @KarlBarbr of @BrighamWomens, @harvardmed and @HHMINEWS with his research on dCas9-fusion peptide library display and DNA-templated peptide microarray self-assembly for quantitative protein binding assays. Congratulations! 🏅🥂

[Jian Tang @tangjianpku]

I'm looking for a postdoc to work on deep learning for protein/antibody design. I'm in particular looking for candidates with biological background in the areas of biochemistry, protein design, antibody design. Please help retweet.

Contact: [email protected]