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This paper develops a decision-making system based on the BP Neural Network to navigate a robot in an unknown environment. Based on the neural network model, the robot can move out of specific mazes successfully through adjusting its direction and speed continuously. A BP neural network, which includes three input nodes and nine output nodes, are designed for the navigation system. The information...
Based on a modified amino acid network model, the dynamic simulation trajectory of a small protein (3CI2) is analyzed. The ration between different type of links is calculated, and the change of the long-rang link is calculated at the same time. With the conformation cluster analysis, the transition state can be got, and the network parameter betweenness of this state is analyzed.
Based on a self-consistent contact energy, an amino acid network model is proposed to improve the shortcoming of the model constructed early. The model used in this paper contains two types of weight - similar weight and dissimilar weight. The definition methods of the distance between nodes are compared and the small world character of the amino acid network is investigated. Finally, the network...
In this work, the motion modes of the talin rod domain is investigated with the Gaussian network model (GNM). The slowest mode of the structure shows that the two free terminal move in a negatively correlated way, on an opposite direction. It is thought that this conformational motion mode is the nature of the topology structure of talin rod domain. The peaks of the fast modes correspond to some residues,...
Identifying protein interface is crucial for the prediction of protein-protein interactions and for protein functional classification. In this work, the protein structure is modeled as an undirected graph with the conservation amino- acid residues the vertices and all atom contacts between them the edges. We find that the conservation residue networks are characterized by intermediate values of clustering...
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