G. Roelfes

Nature Catalysis · 2020

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 G. Roelfes's perspective

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

1. Past, present--and future?
2. Exploring protein fitness landscapes by directed evolution
3. Variational auto-encoding of protein sequences
4. Robustness–epistasis link shapes the fitness landscape of a randomly drifting protein
5. Machine learning - a probabilistic perspective
6. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
7. Machine learning in protein engineering
8. Directed Evolution of Protein Catalysts. (Annual Review of Biochemistry)
9. Adaptation in protein fitness landscapes is facilitated by indirect paths
10. Scikit-learn: Machine Learning in Python

Their papers

• Expanding the enzyme universe with genetically encoded unnatural amino acids (2020) — 160 citations