Daisuke Kuroda
Molecular Biology · 2013–2020
A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 382 citations into it; #11,782 of 17,773 by trust here, #5,084 by citations
- Materials Chemistry — 177 citations into it
- Radiology, Nuclear Medicine and Imaging — 80 citations into it; #2,296 of 3,265 by trust here, #1,376 by citations
Whom Daisuke Kuroda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Daisuke Kuroda overall
Papers from Daisuke Kuroda's perspective
Ordered by how strongly the researchers Daisuke Kuroda 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?
- Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
- 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
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
- Serverification of Molecular Modeling Applications: The Rosetta Online Server That Includes Everyone (ROSIE) (2013) — 417 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Blind prediction performance of RosettaAntibody 3.0: Grafting, relaxation, kinematic loop modeling, and full CDR optimization (2014) — 95 citations
- Modeling and docking antibody structures with Rosetta (2017) — 253 citations
- Large-scale sequence and structural comparisons of human naive and antigen-experienced antibody repertoires (2016) — 191 citations
- Repertoire Analysis of Antibody CDR-H3 Loops Suggests Affinity Maturation Does Not Typically Result in Rigidification (2017) — 59 citations