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Daisuke Kuroda

dblp:184/4719 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction
protein-protein docking
0.212016
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
0.212016
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
0.212016
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
0.212016
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
0.112016
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
YearPublicationVenuePosition
2016 Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking
abstract
MOTIVATIONS: 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