Jeffrey J. Gray

@jeffreyjgray.bsky.social

Johns Hopkins Chemical & Biomolecular Engineering Professor, Co-Director of RosettaCommons, protein engineer, Baltimore resident, father of two. he/him

Over the last few months, I have experimented with a return to TwiX. But it has weighed on me. It’s just not a community environment consistent with my values. Therefore, I am again suspending my use of TwiX. A couple reasons recently:

Thank you @sokrypton.org and @cdbahl.com for your hospitality and congrats to you for creating a warm scientific community at @bpdmc.org. I hope our discussion sparked new ideas about accelerating protein design and antibody engineering. Grateful for the chance to share my lab’s work!

Boston Protein Design and Modeling Club@bpdmc.org · 5mo ago

A huge thanks to everyone who packed the house at @mit.edu last night for a rockstar talk by @jeffreyjgray.bsky.social!

I'm so excited to speak at BPDMC this Wednesday evening! So many super protein scientists and modelers in Boston. I'm bringing some published and some unpublished work to share, hoping to spark some fun discussions.

Boston Protein Design and Modeling Club@bpdmc.org · 6mo ago

We've got Jeff Gray (graylab.jhu.edu) coming to present this month!! Wednesday, February 25th 2026, starting at 7pm EST in Room 181, Building 68, @MIT "Antibody language models vs. biology; protein docking denoising diffusion models vs. physics" bpdmc.org

Final stretch to apply for undergraduate summer internships in the Rosetta Commons! Come design proteins, develop AI and physics-based methods to model biomolecules, and impact health, materials, and sustainability! Application deadline is Sunday Feb 1. rosettacommons.org/education/reu/

Undergraduates

Rosetta Commons Research Experience for Undergraduates (REU) AI for Biomolecular Structure Prediction and Design Interns in this geographically-distributed REU program participate in research using…

rosettacommons.org

For the new year, I’ll start posting again on X. I’m frustrated by its algorithm, uncivil discourse, and the owner's politics. But our work can also reach a much broader audience. Grateful to Jeremy Wang helping manage my social media. Excited to share more of our work!

Meet our new JHU ChemBE PhD student, Matthew Adrian! He studied ChemE at UC Berkeley and developed MLDL methods for small molecule drug property prediction at Merck. His research will improve MLDL for protein binding prediction! Fun fact: Matt is the starting goalie for JHU Ice Hockey! 🏒

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Excited to share our new preprint “Unified Sampling and Ranking for Protein Docking with DFMDock” by PhD candidate Lee-Shin Chu and Post-Doc Sudeep Sarma! We designed a diffusion docking model that samples rigid-body conformations by predicting forces and ranks poses using predicted energies.

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Our post-bac program will give you a year of research training after you finish undergraduate. Work on incredible biomolecular structure and design projects (e.g. antibody engineering, or deep learning algorithms), and have great mentoring and support in applying for grad schools and fellowships.

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We're excited to work with @omsf.io OpenADMET and @polarishub.io to bring you this blind predictive modeling community challenge! If you're developing predictive models for drug discovery---potency or ADMET---here's your chance to test them prospectively on real discovery data from ASAP!

Polaris@polarishub.io · 2y ago

🦠 We’re excited to announce our first competition in partnership with @asapdiscovery.bsky.social and @omsf.io! Test your skills across three sub-challenges revolving around SARS-CoV-2 and MERS-CoV Mpro🧵 Full details: polarishub.io/competitions Blog: polarishub.io/blog/antivir...

As you are reflecting on your blessings this Thanksgiving, perhaps consider what wonderful scientific opportunities might be out there for you next summer! Join our programs for gap-year or summer research in protein design and AI.

Class photo of 27 participants from the 2023 Rosetta Commons summer REU/intern program.

Late night experiment with @chrisfrank662.bsky.social :D The backbone designability test. Start w/ backbone (diffusion, hallucination), put a sequence on it (proteinmpnn, esm-if), then the final test is to make sure it folds back to the original structure (alphafold, omegafold, esmfold) (1/3)

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Interested in graduate school in biomolecular structure prediction and design? Here's a list of graduate programs with faculty affiliated with the Rosetta Commons, a worldwide collaboration on software for biomolecular structure prediction and design, including AI/deep-learning approaches.

Rosetta Commons Graduate Programs

Rosetta Commons Graduate Programs Faculty,PI Website,Institution,Research areas,Program (PhD unless noted),Website,Needed background,Program Notes,2022 Deadline,Other Program Faculty of Interest,Prog...

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