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Daniel Cabrera-Benitez

dblp:18/254 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Systems, architecture and hardware · 1Applied, 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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › protein-protein docking
FFT-based docking
0.112012
Cell-Dock: high-performance protein-protein docking · Bioinform. 2012
Bioinformatics and computational biology › protein structure prediction
protein-protein docking
0.112012
Cell-Dock: high-performance protein-protein docking · Bioinform. 2012
Processor architecture and microarchitecture › chip multiprocessor
cell processor
0.012012
Cell-Dock: high-performance protein-protein docking · Bioinform. 2012

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

fast fourier transform · 0.3
YearPublicationVenuePosition
2012 Cell-Dock: high-performance protein-protein docking
abstract
SUMMARY: The application of docking to large-scale experiments or the explicit treatment of protein flexibility are part of the new challenges in structural bioinformatics that will require large computer resources and more efficient algorithms. Highly optimized fast Fourier transform (FFT) approaches are broadly used in docking programs but their optimal code implementation leaves hardware acceleration as the only option to significantly reduce the computational cost of these tools. In this work we present Cell-Dock, an FFT-based docking algorithm adapted to the Cell BE processor. We show that Cell-Dock runs faster than FTDock with maximum speedups of above 200×, while achieving results of similar quality. AVAILABILITY AND IMPLEMENTATION: The source code is released under GNU General Public License version 2 and can be downloaded from http://mmb.pcb.ub.es/~cpons/Cell-Dock. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Carles Pons, Daniel Jiménez-González, Cecilia González-Alvarez, Harald Servat, Daniel Cabrera-Benitez, Xavier Aguilar, Juan Fernández-Recio
Bioinform.5
2008 Drug Design Issues on the Cell BE
Harald Servat, Cecilia González-Alvarez, Xavier Aguilar, Daniel Cabrera-Benitez, Daniel Jiménez-González
HiPEAC4