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21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
Kinetic Analysis of Ligand-Receptor Complex Formation with the Aid of Computer Simulation
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
Hiroshi Kobayashi, Chiba University, Japan
Ryuzo Azuma, RIKEN Genomic Sciences Center, Japan
Akihiko Konagaya, RIKEN Genomic Sciences Center, Japan; Tokyo Institute of Technology, Japan
Cellular signal transduction is initiated by the binding of extracellular ligands to membrane receptors. However, the concentration of ligand required for cellular activation is often lower than that required for receptor binding; receptors are often expressed in excess. To elucidate the physiological significance of this phenomenon, we have developed a Monte Carlo simulation program for kinetic analysis of ligand-receptor formation.

Our present simulation showed that an excess amount of the receptors was not required for signal activation when the dissociation constant (Kd) of the ligand-receptor complex (LR) was low (10-9 or less). However, a low Kd value caused delayed LR dissociation after clearance of ligand from the extracellular space; no signal shutdown took place. These data indicate that an excess amount of receptors with high Kd (10-8 or more) was required for prompt signal propagation at physiological ligand concentrations and rapid signal cessation following ligand clearance.

Our simulations were conducted using a conventional personal computer with a CPU running at 2.6 GHz under Windows XP or 2000 operating systems, and single simulation runs typically took less than two hours. Our simulation program could be readily implemented for kinetic analysis of any signal transduction system with various parameters, and could be used by any investigator because special computing hardware and training are not required.

Citation:
Hiroshi Kobayashi, Ryuzo Azuma, Akihiko Konagaya, "Kinetic Analysis of Ligand-Receptor Complex Formation with the Aid of Computer Simulation," ainaw, vol. 1, pp.727-732, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
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