Darwin Y. Fu
Molecular Biology · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 345 citations into it
Whom Darwin Y. Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Darwin Y. Fu's perspective
Ordered by how strongly the researchers Darwin Y. Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- Comprehensive Analysis of Loops at Protein-Protein Interfaces for Macrocycle Design
Their papers
- Protocols for Molecular Modeling with Rosetta3 and RosettaScripts (2016) — 176 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Predictive Power of Different Types of Experimental Restraints in Small Molecule Docking: A Review (2017) — 17 citations
- RosettaLigandEnsemble: A Small-Molecule Ensemble-Driven Docking Approach (2018) — 19 citations