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Title: Protein structure predictions to atomic accuracy with AlphaFold Author: John Jumper Subject: Nature Methods, doi:10.1038/s41592-021-01362-6
- Baker Lab - Modeling and generating more of life’s building blocks
Today we report in Science an AI upgrade that significantly...
- Accurate protein structure prediction accessible to all - Baker Lab
Today we report the development and initial applications of...
- Baker Lab - Modeling and generating more of life’s building blocks
17 mag 2024 · Robetta is a protein structure prediction service that is continually evaluated through CAMEO. Features include relatively fast and accurate deep learning based methods, RoseTTAFold and TrRosetta, and an interactive submission interface that allows custom sequence alignments for homology modeling, constraints, local fragments, and more.
Publications | The Baker Lab @ MIT. Recent Publications: Bell TA, Baker TA, Sauer RT (2019) Interactions between a subset of substrate side chains and AAA+ motor pore loops determine grip during protein unfolding. Elife. [Epub ahead of print] [Pubmed Citation]
Baker’s team at the University of Wash-ington is one of several that have devel-oped diffusion-based methods to dream up new protein structures and then work from the structures to determine how to make them efficiently. Within days in December 2022, two pre - prints—one from the Baker lab (bioRxiv 2022, DOI: 10.1101/2022.12.09.519842)
23 lug 2019 · Bryan joined the protein-design laboratory of David Baker in 2012 as a graduate student at the University of Washington, Seattle. Her project was to design a protein that could bind to PD-1 — a...
