The basal theory of Gauss-MRF is expounded and 2-5 order Gauss MRF models are established. Parameters of the 2-5 order Gauss-MRF models for 300 wood samples＇ surface texture are also estimated by using LMS. The data ...The basal theory of Gauss-MRF is expounded and 2-5 order Gauss MRF models are established. Parameters of the 2-5 order Gauss-MRF models for 300 wood samples＇ surface texture are also estimated by using LMS. The data analysis shows that： 1） different rexture parameters have a clear scattered distribution, 2） the main direction of texture is the direction represented by the maximum parameter of Gauss-MRF parameters, and 3） for those samples having the same main direction, the finer the texture is, the greater the corresponding parameter is, and the smaller the other parameters are; and the higher the order of Gauss-MRF is, the more clearly the texture is described. On the condition of the second order Gauss MRF model, parameter B1, B2 of tangential texture are smaller than that of radial texture, while B3 and B4 of tangential texture are greater than that of radial texture. According to the value of separated criterion, the parameter of the fifth order Gauss-MRF is used as feature vector for Hamming neural network classification. As a result, the ratio of correctness reaches 88%.展开更多
Recapitulation of well-defined α-helices could result in constrained peptide mimetics with preferable secondary structures and enhanced therapeutic properties for various purposes. Among the helix-stabilizing strateg...Recapitulation of well-defined α-helices could result in constrained peptide mimetics with preferable secondary structures and enhanced therapeutic properties for various purposes. Among the helix-stabilizing strategies, the nucleation strategies are able to maximize recognition specificity of the original sequence without compromising the molecular recognition surface. In this review,current methodologies of helix nucleation are introduced including their constructing strategies, structure features and proof of concept biological applications.展开更多
基金This paper is supported by the Municipal Natural Science Foundation of Harbin （2004AFX X J 0 20） and Provincial Natural Science Foundation of Heilongjiang （C2004-03）.
文摘The basal theory of Gauss-MRF is expounded and 2-5 order Gauss MRF models are established. Parameters of the 2-5 order Gauss-MRF models for 300 wood samples＇ surface texture are also estimated by using LMS. The data analysis shows that： 1） different rexture parameters have a clear scattered distribution, 2） the main direction of texture is the direction represented by the maximum parameter of Gauss-MRF parameters, and 3） for those samples having the same main direction, the finer the texture is, the greater the corresponding parameter is, and the smaller the other parameters are; and the higher the order of Gauss-MRF is, the more clearly the texture is described. On the condition of the second order Gauss MRF model, parameter B1, B2 of tangential texture are smaller than that of radial texture, while B3 and B4 of tangential texture are greater than that of radial texture. According to the value of separated criterion, the parameter of the fifth order Gauss-MRF is used as feature vector for Hamming neural network classification. As a result, the ratio of correctness reaches 88%.
基金supported by the Natural Science Foundation of China (21372023, 81572198)Ministry of Science and Technology of China (2015DFA31590)+1 种基金the Shenzhen Science and Technology Innovation Committee (JSGG20140519105550503, JCYJ20150331100849958, JCYJ20150403101146313, JCYJ20160301111338144, JSGG20160301095 829250)the Shenzhen Peacock Program (KQTD201103)
文摘Recapitulation of well-defined α-helices could result in constrained peptide mimetics with preferable secondary structures and enhanced therapeutic properties for various purposes. Among the helix-stabilizing strategies, the nucleation strategies are able to maximize recognition specificity of the original sequence without compromising the molecular recognition surface. In this review,current methodologies of helix nucleation are introduced including their constructing strategies, structure features and proof of concept biological applications.
