Literature DB >> 18762274

The impact of accelerator processors for high-throughput molecular modeling and simulation.

G Giupponi1, M J Harvey, G De Fabritiis.   

Abstract

The recent introduction of cost-effective accelerator processors (APs), such as the IBM Cell processor and Nvidia's graphics processing units (GPUs), represents an important technological innovation which promises to unleash the full potential of atomistic molecular modeling and simulation for the biotechnology industry. Present APs can deliver over an order of magnitude more floating-point operations per second (flops) than standard processors, broadly equivalent to a decade of Moore's law growth, and significantly reduce the cost of current atom-based molecular simulations. In conjunction with distributed and grid-computing solutions, accelerated molecular simulations may finally be used to extend current in silico protocols by the use of accurate thermodynamic calculations instead of approximate methods and simulate hundreds of protein-ligand complexes with full molecular specificity, a crucial requirement of in silico drug discovery workflows.

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Mesh:

Year:  2008        PMID: 18762274     DOI: 10.1016/j.drudis.2008.08.001

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  5 in total

1.  Science wikinomics. Mass networking through the web creates new forms of scientific collaboration.

Authors:  Andrea Rinaldi
Journal:  EMBO Rep       Date:  2009-05       Impact factor: 8.807

2.  GPU-accelerated molecular modeling coming of age.

Authors:  John E Stone; David J Hardy; Ivan S Ufimtsev; Klaus Schulten
Journal:  J Mol Graph Model       Date:  2010-07-08       Impact factor: 2.518

3.  Induced effects of sodium ions on dopaminergic G-protein coupled receptors.

Authors:  Jana Selent; Ferran Sanz; Manuel Pastor; Gianni De Fabritiis
Journal:  PLoS Comput Biol       Date:  2010-08-12       Impact factor: 4.475

4.  Evaluation of Emerging Energy-Efficient Heterogeneous Computing Platforms for Biomolecular and Cellular Simulation Workloads.

Authors:  John E Stone; Michael J Hallock; James C Phillips; Joseph R Peterson; Zaida Luthey-Schulten; Klaus Schulten
Journal:  IEEE Int Symp Parallel Distrib Process Workshops Phd Forum       Date:  2016-05

5.  Identification of a novel prostate cancer susceptibility variant in the KLK3 gene transcript.

Authors:  Z Kote-Jarai; A Amin Al Olama; D Leongamornlert; M Tymrakiewicz; E Saunders; M Guy; G G Giles; G Severi; M Southey; J L Hopper; K C Sit; J M Harris; J Batra; A B Spurdle; J A Clements; F Hamdy; D Neal; J Donovan; K Muir; P D P Pharoah; S J Chanock; N Brown; S Benlloch; E Castro; N Mahmud; L O'Brien; A Hall; E Sawyer; R Wilkinson; D F Easton; R A Eeles
Journal:  Hum Genet       Date:  2011-04-05       Impact factor: 4.132

  5 in total

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