Robert Kleffner
2017–2020
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Robert Kleffner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Robert Kleffner's perspective
Ordered by how strongly the researchers Robert Kleffner trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- 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?
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Foldit Standalone: a video game-derived protein structure manipulation interface using Rosetta (2017) — 101 citations
- Repurposing Citizen Science Games as Software Tools for Professional Scientists (2018) — 15 citations