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Trevor D. Power

dblp:58/6356 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

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-protein interaction prediction
protein interface prediction
0.112007
InterProSurf: a web server for predicting interacting sites on protein surfaces · Bioinform. 2007
Bioinformatics and computational biology › structural biology › protein structure and function
protein structure and function prediction
0.112007
InterProSurf: a web server for predicting interacting sites on protein surfaces · Bioinform. 2007
Bioinformatics and computational biology
structural bioinformatics
0.012007
InterProSurf: a web server for predicting interacting sites on protein surfaces · Bioinform. 2007

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

solvent accessible surface area · 0.1interface propensity · 0.1clustering · 0.1
YearPublicationVenuePosition
2007 InterProSurf: a web server for predicting interacting sites on protein surfaces
abstract
UNLABELLED: A new web server, InterProSurf, predicts interacting amino acid residues in proteins that are most likely to interact with other proteins, given the 3D structures of subunits of a protein complex. The prediction method is based on solvent accessible surface area of residues in the isolated subunits, a propensity scale for interface residues and a clustering algorithm to identify surface regions with residues of high interface propensities. Here we illustrate the application of InterProSurf to determine which areas of Bacillus anthracis toxins and measles virus hemagglutinin protein interact with their respective cell surface receptors. The computationally predicted regions overlap with those regions previously identified as interface regions by sequence analysis and mutagenesis experiments. AVAILABILITY: The InterProSurf web server is available at http://curie.utmb.edu/
Surendra S. Negi, Catherine H. Schein, Numan Oezguen, Trevor D. Power, Werner Braun
Bioinform.4