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gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
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Lol 😅

Excitement is in the air for accelerating new discoveries in 2025! 🚀 Here’s a short holiday message brought to you by the creators of Boltz-1: @gcorso.bsky.social and @jeremywohlwend.bsky.social ☃️ What are you excited to use Boltz-1 for in 2025?

This is the kind of benchmarking work the field needs!

Here's a year-end update from #PLINDER. It's been really great working on this project and all the other projects that it has kickstarted - the gift that keeps on giving. Happy holidays everyone! www.plinder.sh/blog/updates

Two major life updates: - I'm moving to Senior Applied Research Scientist in Digital Biology at NVIDIA (Jan '25) - I'm starting a new lab at Duke as Visiting Assistant Prof (early '25) Both roles focus on tackling hard problems in biological machine learning through collaborative research. Long 🧵

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly www.eurekalert.org/news-release...

Boltz v0.4.0 is here! Today, we’re releasing our full data processing pipeline, making it easier than ever to build on top of Boltz. This release also includes our evaluation code and new results. Oh, and also pocket conditioning :)

After AlphaFold3 was released with a limited license, a global race began to build the first fully open source replica of the biomolecular prediction model that could be available for commercial use. Read more in MIT News: news.mit.edu/2024/researc...

New Title Alert: Boltz-1- an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands & glycans. Learn more here: https://buff.ly/3ZAPowA #SBGridSoftware #SBGrid

I've created a new plugin for #PyMOL (called PyMOLfold) that allows you to fold protein sequences right in the GUI. Simply select your model of choice (e.g., #ESM3, Boltz-1) and paste in your amino acid sequence. github.com/colbyford/Py... #ai #proteinfolding #alphafold

Starting in 5! Join us for an exciting day of invited talks, posters, and a panel with our invited speakers. Schedule: mlsb.io Room: East Building Meeting Rooms 11-12 (2nd floor)

You are welcome! 🤗

I guess we have Boltz-1 to thank for pushing all these other AF3 clones to adopt fully open-source licenses and models.

Our paper describing our winning submission (tied with @olexandr.bsky.social) is out with some extra computational analysis of the predicted binding modes. We didn't do anything fancy (but the hits weren't that great either...). pubs.acs.org/doi/10.1021/...

new preprint on chemical synthesis ML models - showing how to combine multiple models in a principled way - modern Transformers + GNN to featurize chemical reaction: - new insights in where the models shine + bonus: find the quirky named reaction! Feedback welcome! arxiv.org/abs/2412.05269

After two years, our paper on generative models for structure-based drug design is finally out in @natcomputsci.bsky.social www.nature.com/articles/s43...

We trained a model to co-generate protein sequence and structure by working in the ESMFold latent space, which encodes both. PLAID only requires sequences for training but generates all-atom structures! Really proud of @amyxlu.bsky.social 's effort leading this project end-to-end!

Re docking: @workshopmlsb.bsky.social has been piloting a leaderboard for the PLINDER benchmark. It would be awesome to get submissions using existing methods, then everyone can see comparisons better 😁 leaderboard & instructions are on mlsb.io

Starting from tomorrow I will be in Vancouver for NeurIPS! Come talk to me about research, Boltz-1, Boltz-2... !

You may have seen a recent pre-print [1] from Jain et al. with strongly worded claims against the experimental results in our DiffDock paper [2]. Here is our response, as also outlined in 's quoted Bluesky post.

Response by the DiffDock authors on the recent preprint by Jain and colleagues.