S. Rosset

Molecular Biology · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 89 citations into it
• Materials Chemistry — 40 citations into it
• Computational Biology & Bioinformatics — 37 citations into it

Whom S. Rosset trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Milot Mirdita
2. Yang Zhang
3. Gideon Lapidoth

Papers from S. Rosset's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Highly accurate protein structure prediction with AlphaFold
3. Kemp elimination catalysts by computational enzyme design
4. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
5. The Rosetta all-atom energy function for macromolecular modeling and design
6. TM-align: a protein structure alignment algorithm based on the TM-score
7. Improved protein structure prediction using predicted interresidue orientations
8. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
9. Native protein sequences are close to optimal for their structures.
10. De novo design of a non-local β-sheet protein with high stability and accuracy

Their papers

• De novo protein design by inversion of the AlphaFold structure prediction network (2022) — 83 citations
• Rosetta FunFolDes – A general framework for the computational design of functional proteins (2018) — 36 citations
• Assessing and enhancing foldability in designed proteins (2021) — 17 citations