Parameter estimation using Simulated Annealing for S-system models of biochemical networks | Zendy

Orland Gonzalez | Zendy; Christoph Küper | Zendy; Kirsten Jung | Zendy; Prospero C. Naval | Zendy; Eduardo Mendoza | Zendy

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Parameter estimation using Simulated Annealing for S-system models of biochemical networks

Author(s) -

Orland Gonzalez,

Christoph Küper,

Kirsten Jung,

Prospero C. Naval,

Eduardo Mendoza

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl522

Subject(s) - computer science , simulated annealing , network topology , source code , compiler , biological network , systems biology , software , heuristic , theoretical computer science , computer engineering , data mining , algorithm , artificial intelligence , bioinformatics , programming language , biology , operating system

High-throughput technologies now allow the acquisition of biological data, such as comprehensive biochemical time-courses at unprecedented rates. These temporal profiles carry topological and kinetic information regarding the biochemical network from which they were drawn. Retrieving this information will require systematic application of both experimental and computational methods.

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