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Wataru Nishima

dblp:64/7066 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
0000-0003-1195-5905ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein dynamics
protein conformational change
0.112009
DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins · Bioinform. 2009
Bioinformatics and computational biology › protein dynamics
protein dynamics analysis
0.112009
DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins · Bioinform. 2009
Bioinformatics and computational biology
protein structure analysis
0.112009
DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

structural alignment · 0.1dihedral angle analysis · 0.1
YearPublicationVenuePosition
2009 DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins
abstract
MOTIVATION: The biological function of proteins is associated with a variety of motions, ranging from global domain motion to local motion of side chain. We propose a method, dihedral transition analysis (DTA), to identify significant dihedral angle changes between two distinct protein conformations and for characterization of the effect of these transitions on both local and global conformation. RESULTS: Applying DTA to a comprehensive and non-redundant dataset of 459 high-resolution pairs of protein structures, we found that a dihedral transition occurs in 82% of proteins. Multiple dihedral transitions are shown to occur cooperatively along the sequence, which allows us to separate a polypeptide chain into fragments with and without transitions, namely transition fragments (TFs) and stable fragments (SFs), respectively. By characterizing the magnitude of TF conformational change and the effect of the transition on the neighboring fragments, flap and hinge motions are identified as typical motions. DTA is also useful to detect protein motions, subtle in RMSD but significant in terms of dihedral angle changes, such as the peptide-plane flip, the side-chain flip and path-preserving motions. We conclude that DTA is a useful tool to extract potential functional motions, some of which might have been missed using conventional methods for protein motion analysis. AVAILABILITY: http://dynamics.iam.u-tokyo.ac.jp/DTA/
Wataru Nishima, Guoying Qi, Steven Hayward, Akio Kitao
Bioinform.1