In Silico Simulation of Biological Network Dynamics  

Oleh:

Salwinski, Lukasz ; Eisenberg, David

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Nature Biotechnology: The Science and Business of Biotechnology vol. 22 no. 8 (Agu. 2004), page 1017-1020.
Topik: biological neural networks; silico simulation; biological network dynamics

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: NN9.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Realistic simulation of biological networks require stochastic simulation approaches because of the small numbers of molecules per cell. The high computational cost of stochastic simulation on conventional microprocessor based computers arises from the intrinsic disparity between the sequential steps executed by a microprocessor program and the highly parallel nature of information flow within biochemical networks. This disparity is reduced with the field programmable gate array (FPGA) based approach presented here. The parallel architecture of FPGAs, which can simulte the basic reaction steps of biological networks, attains simulation rates at least an order of magnitude greater than currently available microprocessors.

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