Protein topology and stability define the space of allowed sequences - PMC
We describe a new approach to explore and quantify the sequence space associated with a given protein structure. A set of sequences are optimized for a given target structure, using all-atom models and a physical energy function. Specificity of the ...
Proc Natl Acad Sci U S A . 2002 Jan 22;99(3):1280–1285. doi: 10.1073/pnas.032405199 Protein topology and stability define the space of allowed sequences Patrice Koehl Patrice Koehl 1 Department of Structural Biology, Fairchild Building, D109, Stanford University, Stanford, CA 94305 Find articles by Patrice Koehl 1, * , Michael Levitt Michael Levitt 1 Department of Structural Biology, Fairchild Building, D109, Stanford University, Stanford, CA 94305 Find articles by Michael Levitt 1 Author information Article notes Copyright and License information 1 Department of Structural Biology, Fairchild
Explore this link on the map →related reading
- AlphaFold2 @ CASP14: “It feels like one’s child has left home.” << Some Thoughts on a Mysterious Universemoalquraishi.wordpress.com
- Protein design - Wikipediaen.wikipedia.org
- An idiot's guide to lead optimisation for proteins | Magnus Rossmagnusross.github.io
- Engineering Plastic-Degrading Enzymes and PCSK9 Binders with Protein AI Toolsblog.latch.bio
- Great expectations – the potential impacts of AlphaFold DB | EMBLembl.org
- Publications - Debbie Marks Labdeboramarkslab.com
- Evolutionary Scale · ESM3: Simulating 500 million years of evolution with a language modelevolutionaryscale.ai
- Sequence homology - Wikipediaen.wikipedia.org
- AlphaFold: a solution to a 50-year-old grand challenge in biology — Google DeepMinddeepmind.com
- Measure Proteins in Place - New Sciencenewscience.org
- The Illustrated AlphaFold | Elana Simonelanapearl.github.io
- DISCO — Teaching AI to Invent Enzymes Nature Never Imagineddisco-design.github.io