Cargando…
Inferring protein 3D structure from deep mutation scans
We describe an experimental method of three-dimensional (3D) structure determination that exploits the increasing ease of high-throughput mutational scans. Inspired by the success of using natural, evolutionary sequence co-variation to compute protein and RNA folds, we explored whether ‘laboratory’,...
Autores principales: | Rollins, Nathan J., Brock, Kelly P., Poelwijk, Frank J., Stiffler, Michael A., Gauthier, Nicholas P., Sander, Chris, Marks, Debora S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295002/ https://www.ncbi.nlm.nih.gov/pubmed/31209393 http://dx.doi.org/10.1038/s41588-019-0432-9 |
Ejemplares similares
-
Evolutionary Potential of a Duplicated Repressor-Operator Pair: Simulating Pathways Using Mutation Data
por: Poelwijk, Frank J, et al.
Publicado: (2006) -
Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan
por: Fernandez-de-Cossio-Diaz, Jorge, et al.
Publicado: (2020) -
Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models
por: Stein, Richard R., et al.
Publicado: (2015) -
The Context-Dependence of Mutations: A Linkage of Formalisms
por: Poelwijk, Frank J., et al.
Publicado: (2016) -
Applications of Deep Mutational Scanning in Virology
por: Burton, Thomas D., et al.
Publicado: (2021)