INQUIMAE   12526
INSTITUTO DE QUIMICA, FISICA DE LOS MATERIALES, MEDIOAMBIENTE Y ENERGIA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Accelerating Protein-Protein Docking using a Graphics Processing Unit (GPU)
Autor/es:
MICHAEL JENIK; ESTEBAN MOCSKOS; ADRIÁN ROITBERG; ADRIÁN TURJANSKI
Lugar:
Buenos Aires
Reunión:
Simposio; Simposio de Computación de Alto Rendimiento; 2010
Institución organizadora:
SADIO
Resumen:
Abstract. Solving the structure of protein-protein complexes is one ofthe most important tasks in structural biology. Even though there hasbeen great progress in recent years there still a small number of proteincomplexes structures deposited in the Protein Data Bank in comparisonto isolated partners. In this sense, the computational prediction of proteincomplexes starting from the unbound structures, protein-protein Dock-ing algorithms, has emerged as a reasonable alternative. Many dockingprograms employ Fast Fourier Transform (FFT) correlations as an effi-cient search strategy. We describe an implementation of a protein-proteindocking program based on FFT surface complementarity that runs en-tirely on a Graphics Processing Unit (GPU), including grid generation,rotation and scoring. We evaluate its performance, and show that it canbe up to 13 times faster than conventional CPU based implementations.
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