A. Khramushin
2020–2021
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from A. Khramushin's perspective
Ordered by how strongly the researchers A. Khramushin trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction for the human proteome
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
- Highly accurate protein structure prediction with AlphaFold
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- 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
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Harnessing protein folding neural networks for peptide–protein docking (2021) — 299 citations