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Molecular computation approach to compete Dijkstra's algorithm

机译:竞争Dijkstra算法的分子计算方法

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Deoxyribonucleic acid or DNA computing is an emerging field that bridging the gap between chemistry, molecular biology, computer science, and mathematics. In this paper, the potential of DNA computing to compete with Dijkstra's algorithm is investigated in detail that considers the computation of single source shortest path of a network or graph as a point of reference. The DNA-based computation is designed in such a way that every path is encoded by oligonucleotides and the path's length is directly proportional to the length of oligonucleotides. Using these properties, gel electrophoresis is performed in order to separate the respective DNA molecules according to their length. Thus, the shortest strands representing the shortest path could be extracted. We describe in detail in this paper the overall biochemical laboratory procedures involved during the computation.
机译:脱氧核糖核酸或DNA计算是一种新兴领域,即弥合化学,分子生物学,计算机科学和数学之间的差距。在本文中,详细地研究了与Dijkstra竞争竞争的DNA计算的电位考虑了网络或图形的单一源最短路径的计算作为参考点。基于DNA的计算以这样的方式设计,即通过寡核苷酸编码每种路径,并且路径的长度与寡核苷酸的长度成比例。使用这些性质,进行凝胶电泳,以便根据它们的长度分离各个DNA分子。因此,可以提取代表最短路径的最短股线。我们在本文中详细描述了计算过程中涉及的整体生化实验室程序。

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