J. Urbauer

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 J. Urbauer's perspective

Ordered by how strongly the researchers J. Urbauer 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. Principles for designing ideal protein structures
  3. De novo protein design by deep network hallucination
  4. The coming of age of de novo protein design
  5. Design of protein-binding proteins from the target structure alone
  6. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
  7. Design of structurally distinct proteins using strategies inspired by evolution
  8. Expanding the space of protein geometries by computational design of de novo fold families
  9. Crystallography & NMR system: A new software suite for macromolecular structure determination.
  10. Scikit-learn: Machine Learning in Python

Their papers