Iterative Convex Quadratic Approximation for Global Optimization in Protein Docking

作者: Roummel F. Marcia , Julie C. Mitchell , J. Ben Rosen

DOI: 10.1007/S10589-005-4799-4

关键词: Regular polygonPotential energyApplied mathematicsMathematicsMacromolecular dockingMaxima and minimaMathematical optimizationGlobal optimizationIterated functionFunnelQuadratic equation

摘要: An algorithm for finding an approximate global minimum of a funnel shaped function with many local minima is described. It applied to compute the energy docking position ligand respect protein molecule. The method based on iterative use convex, general quadratic approximation that underestimates set minima, where error in minimized L1 norm. used generate reduced domain, which assumed contain function. Additional are computed this and improved computed. This process iterated until convergence tolerance satisfied. has been find generated by Docking Mesh Evaluator program. Results three different examples presented. Each these functions thousands minima. Convergence shown all examples.

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