Solving the Protein Folding Problem with a Bicriterion Genetic Algorithm on the Grid

Alexandru-Adrian Tantar, N. Melab, E. Talbi, B. Toursel
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引用次数: 2

Abstract

The exploration of potential multidimensional surfaces in protein folding is a non-trivial problem of extreme importance in computational biology. An evolutionary bicriterion grid-enabled protein folding approach is reported, classical molecular mechanics equations being employed for modeling inter-atomic interactions. Afferent computations were distributed on a nation-wide grid - GRID5000. A layered software design composed of dedicated frameworks is adopted due to the highly complex aspects inherent for the underlying volatile and dynamic execution environment. A brief insight on the existing approaches and the mathematical basis describing physical molecular interactions is offered, including derived semi-empirical and purely-empirical models. Introductory multicriterion formalisms enclosing the exposed approach are also presented
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用双准则遗传算法求解网格上的蛋白质折叠问题
探索蛋白质折叠中潜在的多维表面是计算生物学中一个非常重要的问题。本文报道了一种进化双准则网格蛋白质折叠方法,该方法采用经典分子力学方程来模拟原子间相互作用。传入计算分布在全国网格GRID5000上。由于底层易变和动态执行环境固有的高度复杂性,采用了由专用框架组成的分层软件设计。简要介绍了描述物理分子相互作用的现有方法和数学基础,包括推导出的半经验和纯经验模型。还介绍了包含公开方法的介绍性多标准形式化
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