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RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.02.032

RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.02.032

🔗 RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2. Computational and Structural Biotechnology Journal, doi.org/10.1016/j.cs...

📚 CSBJ: www.csbj.org

#StructuralBiology #PeptideTherapeutics #RoseTTAFold #ProteinEngineering #MolecularDynamics #DrugDesign

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Pioneering AI in Molecular Biology: Featuring nobel Laureate David Baker Nobel Laureate David Baker will give the closing Keynote address at the upcoming Keystone Symposia meeting: AI in Molecular Biology, taking place September 15-18, in Santa Fe, New Mexico.

Discover our Keypoint Blog on #NobelLaureate David Baker, who will deliver the closing Keynote at Keystone Symposia on #AI in Molecular Biology. Learn how AI is revolutionizing biomedical research!

#RoseTTAFold #keystonesymposia #KSAIBio26 bit.ly/42M5SlP @uwproteindesign.bsky.social

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As someone who use to study proteins but stopped the year #AlphaFold and #RoseTTAfold hid the scene I wonder how studying proteins has changed since.

What is the impact on your work of having all those protein structures availible?

🧪 #Protein

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A Tweet from the Nobel Prize account. 
"let's take a closer look at this protein structure determined using Alphafold2..."

Determined is underlined in red.

A Tweet from the Nobel Prize account. "let's take a closer look at this protein structure determined using Alphafold2..." Determined is underlined in red.

No no no no.

"Predicted". Not "determined". Not "solved" It is a hypothetical model. Not a "structure".

Get it right.

#NobelPrize #StructuralBiology @strucbio #AlphaFold #Rosettafold

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It is often very informative to compare many ML methods for structure prediction.

Do all the models converge ?

Are there subtle differences between the models, with some more convincing than others?

Currently testing #alphafold #rosettafold #ESMFold #Omegafold #openfold and #unifold

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So what has #AlphaFold and #RoseTTAFold taught us about the fundamental protein folding problem? Are the networks learning totally abstract feature spaces or can we learn anything fundamental from these? Are they interpretable?

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