Indrek Kalvet
@ikalvet.bsky.social
🇪🇪 De Novo enzyme design • HHMI Postdoc at the Institute for Protein Design at University of Washington
Reposted by Indrek Kalvet
New online! De novo design and evolution of an artificial metathase for cytoplasmic olefin metathesis
De novo design and evolution of an artificial metathase for cytoplasmic olefin metathesis
Nature Catalysis, Published online: 03 November 2025; doi:10.1038/s41929-025-01436-0The creation of artificial metalloenzymes compatible with complex biological settings could enable broad applications. Now a de novo-designed artificial metalloenzyme containing an abiological ruthenium cofactor is reported and optimized for ring-closing metathesis in the cytoplasm of whole cells.
bit.ly
November 3, 2025 at 10:51 AM
New online! De novo design and evolution of an artificial metathase for cytoplasmic olefin metathesis
RFdiffusion2 is now live!
github.com/RosettaCommo...
You can now design proteins, and in particular enzymes from just partially defined amino acid side chains, and without defining their sequence position or order!
github.com/RosettaCommo...
You can now design proteins, and in particular enzymes from just partially defined amino acid side chains, and without defining their sequence position or order!
August 22, 2025 at 12:51 AM
RFdiffusion2 is now live!
github.com/RosettaCommo...
You can now design proteins, and in particular enzymes from just partially defined amino acid side chains, and without defining their sequence position or order!
github.com/RosettaCommo...
You can now design proteins, and in particular enzymes from just partially defined amino acid side chains, and without defining their sequence position or order!
We are happy to share that the code and weights of PLACER (formerly known as ChemNet) are now public!
This method allows for rapid evaluation of protein side chain and ligand conformational ensembles, with uses in ligand docking and enzyme evaluation.
github.com/baker-labora...
This method allows for rapid evaluation of protein side chain and ligand conformational ensembles, with uses in ligand docking and enzyme evaluation.
github.com/baker-labora...
GitHub - baker-laboratory/PLACER: PLACER is graph neural network for local prediction of protein-ligand conformational ensembles.
PLACER is graph neural network for local prediction of protein-ligand conformational ensembles. - baker-laboratory/PLACER
github.com
February 13, 2025 at 8:28 PM
We are happy to share that the code and weights of PLACER (formerly known as ChemNet) are now public!
This method allows for rapid evaluation of protein side chain and ligand conformational ensembles, with uses in ligand docking and enzyme evaluation.
github.com/baker-labora...
This method allows for rapid evaluation of protein side chain and ligand conformational ensembles, with uses in ligand docking and enzyme evaluation.
github.com/baker-labora...