K. Noble

2021

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from K. Noble's perspective

Ordered by how strongly the researchers K. Noble trusts endorse each paper. Same corpus, a different order for every researcher.

1. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
2. De novo protein design by deep network hallucination
3. Principles for designing ideal protein structures
4. The coming of age of de novo protein design
5. Design of protein-binding proteins from the target structure alone
6. Crystallography & NMR system: A new software suite for macromolecular structure determination.
7. Design of structurally distinct proteins using strategies inspired by evolution
8. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
9. Expanding the space of protein geometries by computational design of de novo fold families
10. RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

Their papers

• Sampling of structure and sequence space of small protein folds (2021) — 21 citations