B. Koepnick
Molecular Biology · 2019–2022
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 325 citations into it
- Materials Chemistry — 161 citations into it
Whom B. Koepnick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts B. Koepnick overall
Papers from B. Koepnick's perspective
Ordered by how strongly the researchers B. Koepnick trusts endorse each paper. Same corpus, a different order for every researcher.
- Structure-based prediction of the peptide sequence space recognized by natural and synthetic PDZ domains.
- Highly accurate protein structure prediction with AlphaFold
- 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
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Structure determination of noncanonical RNA motifs guided by 1H NMR chemical shifts
Their papers
- De novo protein design by citizen scientists (2019) — 131 citations
- Protein sequence design by conformational landscape optimization (2021) — 142 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Robust deep learning based protein sequence design using ProteinMPNN (2022) — 1,912 citations
- Creating Custom Foldit Puzzles for Teaching Biochemistry (2019) — 29 citations