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Protein structure comparison is an important tool to explore and understand the different aspects of protein 3D structures. In this paper, a novel representation of protein structure (complete information set of Cα-Cα distances, CISD) is formulated at first. Then an FDOD score scheme is developed to measure the similarity between two representations. Numerical experiments of the new method are conducted in four different protein datasets and clustering analyses are given to verify the effectiveness of this new similarity measure. Furthermore, preliminary results of detecting homologous protein pairs of an existing non-redundant subset of CATH v2.5.1 based on the new similarity are given as a pilot study. All the results show that this new approach to measure the similarities between protein structures is simple to implement, computationally efficient and fast. [ABSTRACT FROM AUTHOR]

The main objective of this intelligent designing research is to provide an astute environment for designers. This type of environment is to be designed and processed so that it is compatible with a person's thoughts. In this environment the designers' thoughts are effectively taken to process functional requirements of products. The concept of designing and evaluating the schemes of the products can be achieved and furthermore optimized, the structure designing and its manufacturability analysis are carried out. This paper studies cell classes of the functions and structures. By the use of artificial intelligent technology the knowledge required and the innovative scheme expressed are developed. As an example, an intelligent design of a motorcycle is used to illustrate the application of the method to produce an innovative scheme. [ABSTRACT FROM AUTHOR]

With the increase of global marketing competition and the dynamic change of the marketing environment, products produced by enterprises that are needed by consumers are more individualized and more flexible. It is an important research project for product consumers and enterprises of how to gain product information effectively. Intelligent customization technology of individual products in remote locations is one of the important sides of this project. In this paper, a customized motorcycle is taken as an example to study individual product specifications. A product customization agent is designed to match the contents and to calculate the methods of product value itemized. Using the agents, the traditional delivery of products through addresses can be replaced by product customization communization between consumers and enterprises. Furthermore a calculation method of individual motorcycle customization is proposed. [ABSTRACT FROM AUTHOR]