Karen R. Khar
Molecular Biology · 2013–2020
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 289 citations into it; #8,352 of 17,773 by trust here, #11,019 by citations
- Materials Chemistry — 129 citations into it; #7,679 of 11,513 by trust here, #8,835 by citations
- Computational Theory and Mathematics — 63 citations into it; #7,190 of 12,182 by trust here, #7,142 by citations
- Computational Biology & Bioinformatics — 26 citations into it
Whom Karen R. Khar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bingding Huang
- David K. Johnson
- John J. Irwin
- John E. Stone
- Anthony Nicholls
- Rhiju Das
- John Karanicolas
- M. Schroeder
- Maxim V. Shapovalov
- Mark McGann
Who trusts Karen R. Khar overall
Papers from Karen R. Khar's perspective
Ordered by how strongly the researchers Karen R. Khar trusts endorse each paper. Same corpus, a different order for every researcher.
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- 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
- 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
- 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
- Fully Flexible Docking of Medium Sized Ligand Libraries with RosettaLigand (2015) — 136 citations
- Fast Docking on Graphics Processing Units via Ray-Casting (2013) — 12 citations