Demo Data from EDBT 2026 / reviewers in the wild / expert
Daisuke Kuroda
dblp:184/4719
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0003-2390-4785ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure prediction
protein-protein docking |
0.2 | 1 | 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking · Bioinform. 2016 |
Bioinformatics and computational biology › protein analysis
protein-protein interaction |
0.2 | 1 | 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking · Bioinform. 2016 |
Bioinformatics and computational biology › protein structure analysis › quaternary structure
protein-protein interface characterization |
0.2 | 1 | 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking · Bioinform. 2016 |
Bioinformatics and computational biology
protein structure prediction |
0.2 | 1 | 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking · Bioinform. 2016 |
Bioinformatics and computational biology › protein structure prediction
antibody modeling |
0.1 | 1 | 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
shape complementarity analysis · 0.2hydrogen bond analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein dockingabstractMOTIVATIONS: Characterizing protein-protein interfaces and the hydrogen bonds is a first step to better understand proteins' structures and functions toward high-resolution protein design. However, there are few large-scale surveys of hydrogen bonds of interfaces. In addition, previous work of shape complementarity of protein complexes suggested that lower shape complementarity in antibody-antigen interfaces is related to their evolutionary origin. RESULTS: Using 6637 non-redundant protein-protein interfaces, we revealed peculiar features of various protein complex types. In contrast to previous findings, the shape complementarity of antibody-antigen interfaces resembles that of the other interface types. These results highlight the importance of hydrogen bonds during evolution of protein interfaces and rectify the prevailing belief that antibodies have lower shape complementarity. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Daisuke Kuroda, Jeffrey J. Gray |
Bioinform. | 1 |