Daniel Peñas-Utrilla

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 22 citations into it
• Materials Chemistry — 13 citations into it
• Computational Biology & Bioinformatics — 8 citations into it

Whom Daniel Peñas-Utrilla trusts overall

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

1. G. Sheldrick
2. Anna Vangone
3. Philip Bradley
4. Xingjie Pan
5. Milot Mirdita
6. David Baker
7. Lindsey Doyle
8. Enrique Marcos
9. Po-Ssu Huang
10. Sergey Ovchinnikov

Papers from Daniel Peñas-Utrilla's perspective

Ordered by how strongly the researchers Daniel Peñas-Utrilla trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Rosetta all-atom energy function for macromolecular modeling and design
2. Highly accurate protein structure prediction with AlphaFold
3. De novo protein design by deep network hallucination
4. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
5. Global analysis of protein folding using massively parallel design, synthesis, and testing
6. RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
7. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
8. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
9. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
10. Repurposing Citizen Science Games as Software Tools for Professional Scientists

Their papers

• Identifying well-folded de novo proteins in the new era of accurate structure prediction (2022) — 8 citations