LunarCrush LLM | creator/twitter::1507748063313489924/posts

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[@alex_j_li](/creator/twitter/alex_j_li)
"Excited to finally release ProteinZen an SE(3) equivariant all-atom protein generative model enabling unconditional all-atom monomer generation and SoTA all-atom motif scaffolding performance Preprint here: 🧵1/n"  
[X Link](https://x.com/alex_j_li/status/1980034196975321443) [@alex_j_li](/creator/x/alex_j_li) 2025-10-19T22:11Z XXX followers, 7172 engagements


"One of the challenges in developing all-atom methods is designing a tractable residue representation that is sufficiently expressive of atomic and sequence detail. In this work we propose representing residues as sets of oriented rigid chemical fragments (and in turn frames) 2/"  
[X Link](https://x.com/alex_j_li/status/1980034204474720587) [@alex_j_li](/creator/x/alex_j_li) 2025-10-19T22:11Z XXX followers, XXX engagements


"When we express proteins as collections of frames we can use SE(3) flow matching to train a generative model over frames and generate all-atom protein structures ProteinZen extends IPA Transformers with multi-scale modeling and is trained as a denoising frame predictor. 3/"  
[X Link](https://x.com/alex_j_li/status/1980034212653658423) [@alex_j_li](/creator/x/alex_j_li) 2025-10-19T22:11Z XXX followers, XXX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@alex_j_li "Excited to finally release ProteinZen an SE(3) equivariant all-atom protein generative model enabling unconditional all-atom monomer generation and SoTA all-atom motif scaffolding performance Preprint here: 🧵1/n"
X Link @alex_j_li 2025-10-19T22:11Z XXX followers, 7172 engagements

"One of the challenges in developing all-atom methods is designing a tractable residue representation that is sufficiently expressive of atomic and sequence detail. In this work we propose representing residues as sets of oriented rigid chemical fragments (and in turn frames) 2/"
X Link @alex_j_li 2025-10-19T22:11Z XXX followers, XXX engagements

"When we express proteins as collections of frames we can use SE(3) flow matching to train a generative model over frames and generate all-atom protein structures ProteinZen extends IPA Transformers with multi-scale modeling and is trained as a denoising frame predictor. 3/"
X Link @alex_j_li 2025-10-19T22:11Z XXX followers, XXX engagements