Bryan Briney Profile
Bryan Briney

@bryanbriney

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Associate Professor at Scripps Research, studying antibody responses to immunization and infection. Big fan of open science and dogs.

San Diego, CA
Joined May 2009
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@jeffruffolo
Jeff Ruffolo
2 days
I’m excited to share Profluent-E1, our internal encoder model for protein sequences, with the protein-ML community! The E1 series of models can be used as a drop-in replacement to upgrade a broad range protein modeling and design of workflows. https://t.co/r0sIXrVvBT
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biorxiv.org
Large language models trained on natural proteins learn powerful representations of protein sequences that are useful for downstream understanding and prediction tasks. Because they are only exposed...
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@BiologyAIDaily
Biology+AI Daily
5 days
Spontaneous Emergence of Symmetry in a Generative Model of Protein Structure 1. A new study reveals that a transformer-based generative model can spontaneously generate symmetric protein structures without explicit symmetry constraints. This is a significant breakthrough in
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@definitelyphil
Phil Leung
11 days
Glad to see our antibody design paper finally out in @Nature (and congrats to lead authors and everyone involved )! At @Xaira_Thera we are excited about pushing antibody design further to bind harder targets and make drugs for unmet medical needs. Paper: https://t.co/h2bXGOvuGW
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@scrippsresearch
Scripps Research
12 days
The @NIH has awarded a $6.9M grant to Scripps Research scientists led by Bryan Briney, PhD (@bryanbriney), with Renan de Carvalho, PhD (@deCarvalhoRenan), Andrew Ward, PhD (@WardLab1), and Darrell Irvine, PhD, to uncover how HIV vaccines can generate long-lasting immune
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@AsimovPress
Asimov Press
13 days
Most metaphors in biology are qualitative and vague. "DNA is the blueprint of the cell." OK but, like, how big is that blueprint? For our latest essay, @ClamonsSam gives a bunch of QUANTITATIVE metaphors to help you understand the sizes of biology, from molecules to cells. He
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@sokrypton
Sergey Ovchinnikov
19 days
Is 3D dragging you down? Wish you could instead use the 2D ColabFold representation for all your work? 🤓 Introducing: py2Dmol 🧬
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@DdelAlamo
Diego del Alamo
18 days
Does anyone have any guesses for why AF3 is just better than all its competitors across the board, even with the same exact architecture & training data? Is it nothing more than Google-sized training budget?
@MoAlQuraishi
Mohammed AlQuraishi
19 days
OF3p is already quite good. For any modality, it is comparable (or better) to the best existing OSS model for that modality. On RNA, where we spent considerable effort, it is at AF3-parity. RNA is a challenging modality where all models (incl AF3) leave much room for improvement.
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@BiologyAIDaily
Biology+AI Daily
1 month
GhostFold: Accurate Protein Structure Prediction Using Structure-Constrained Synthetic Coevolutionary Signals 1. GhostFold introduces a novel method for protein structure prediction that generates synthetic multiple sequence alignments (MSAs) from a single amino acid sequence,
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@kvlly
Kelly Vaughn
1 month
Legend has it gym memberships are particularly hard to cancel here because nobody knows how to exit
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@AllThingsApx
Kyle Tretina, Ph.D.
1 month
Most AF3 demos skipped glycans. JAAG removes a bottleneck: SugarDrawer/GlycoCT → BAP+CCD JSON, sequon tagging + smart userCCD for sialyl / sulfated / phosphorylated links.
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@karpathy
Andrej Karpathy
1 month
POV: Your LLM agent is dividing a by b
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@snowclipsed
snow
1 month
did you mean... π-thon?
@charliermarsh
Charlie Marsh
1 month
Python 3.14 stable dropped today! Congratulations to everyone involved. You can install it now with `uv python upgrade 3.14`.
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@sokrypton
Sergey Ovchinnikov
1 month
AlphaFoldDB updated, now includes the MSAs 🥳
@emblebi
EMBL-EBI
1 month
We’re renewing our collaboration with @GoogleDeepMind! We'll keep developing the AlphaFold Database to support protein science worldwide 🎉 To mark the moment we’ve synchronised the database with UniProtKB release 2025_03 https://t.co/VTzPuEUC1r #AlphaFold
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@p_maverick_b
Patrick Boyle — e/🦀
2 months
Has anyone even asked the cells if they wish to be perturbed
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@AllThingsApx
Kyle Tretina, Ph.D.
2 months
Antibody design may be just about to leave its “spray‑and‑pray" era. Chai‑2 reports ~50% de‑novo hits incl. sub‑nM. IgGM, Germinal, PXDesign join the push. Mosaic + AIntibody/BenchBB makes it testable. The bottleneck seems to be clean affinity data.
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@victorgreiff
GreiffLab 💻🔬💊
2 months
We’re recruiting a PhD Fellow in Computational Systems Immunology. Work on large-scale immune receptor datasets and develop computational models in close collaboration with experimental labs. Apply here:
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