6 Atomic fragment types of organic compound have been defined, and the multilevel atom-pair frequency matrix has been constructed according to the occurrence number in pairs of atomic fragments with different bond len...6 Atomic fragment types of organic compound have been defined, and the multilevel atom-pair frequency matrix has been constructed according to the occurrence number in pairs of atomic fragments with different bond lengths in the molecule. On the basis of them, a novel molecular coding technique： characteristic atom-pair holographic code （CAHC）, is obtained. To some extent, this method exhibits a large number of benefits at the same time. For example, it can calculate 2D molecular topological descriptor easily, operate without difficulty and possess definite physicochemical meaning of 3D molecular structural characterization methods, and may fetch the complicated information of molecule, etc. Therefore, it is appropriate for the study on quantitative structure-property/activity relationship （QSPR/QSAR） of medicines and biological molecules. We attempt in this paper to utilize the method of CAHC to the quantitative prediction of reversed-phase liquid chromatogram （RPLC） retention data of 33 purine derivatives and 24 steroids. The fitting multiple correlation coefficient R2, cross-validated multiple correlation coefficient Q2 and predicted ability Q^2 pred over test set＇s samples of obtained partial least-square （PLS） regression model are respectively 0.990, 0.893 and 0.977, 0.897, 0.941.展开更多
Peel color is an important breeding objective for eggplant. Dark purple and purplish red are the most common colors in commercial eggplant cultivars. A co-dominant amplified fragment length polymorphism （AFLP） marke...Peel color is an important breeding objective for eggplant. Dark purple and purplish red are the most common colors in commercial eggplant cultivars. A co-dominant amplified fragment length polymorphism （AFLP） marker which was associated with the peel color （each in coupling phase to dark purple and purplish red） was found in studying the genetic diversity in 58 eggplant accessions （contained cultivars and wild relatives）. The maker bands were sequenced and converted to SCAR marker, this polymorphism in sequence was from an inserted/deleted （indels） mutation. And DNA from 136 eggplant materials （inbred lines, F1, and wild relatives） were amplified with the designed SCAR primers as template, high correlation between the SCAR marker and peel color （dark purple and purplish red） was found. Then, bulked line analysis （BLA） combined with AFLP was further used to identify polymorphic fragments, and another six AFLP markers were tested and verified to be associated with peel color, which demonstrated that BLA was an useful method for identifying molecular markers of interested traits. In conclusion, these markers will facilitate the MAS （maker-assisted selection） of eggplant breeding for peel color.展开更多
Considering atomic property vector and atomic correlative function, the 3-dimensional structural vector of atomic property correlation （3D-VAPC）, a novel descriptor,is defined to characterize a 3-dimensional molecul...Considering atomic property vector and atomic correlative function, the 3-dimensional structural vector of atomic property correlation （3D-VAPC）, a novel descriptor,is defined to characterize a 3-dimensional molecular structure by introducing self-adaptability regulation mechanism and the idea of orientating to customers. Characterizing the structures of 25 bisphenol A compounds by this vector, the QSAR models of three kinds of estrogen activities （ER affinities, gene induction and cell proliferation） have high multiple correlation coefficient （Rcum^2=0.933, 0.813, 0.959） and cross verification coefficient （Qcum^2=0.847, 0.953, 0.798） by support vector machine （SVM）, which suits for nonlinear circumstances. The above results show that the models successfully express the correlation between structure and three kinds of estrogen activities. Therefore, 3D-VAPC exactly reflects the molecular structural information and SVM method correctly describes the correlation between information and property of the compounds.展开更多
基金This work was supported by the State Key Laboratory of Chemo/Biosensing and Chemometrics Foundation (No. 05-12-1), Fok-Yingtung Educational Foundation (No. 98-7-6) and Chongqing University Innovation Foundation of Science and Technology ( No. 06-1-1)
文摘6 Atomic fragment types of organic compound have been defined, and the multilevel atom-pair frequency matrix has been constructed according to the occurrence number in pairs of atomic fragments with different bond lengths in the molecule. On the basis of them, a novel molecular coding technique： characteristic atom-pair holographic code （CAHC）, is obtained. To some extent, this method exhibits a large number of benefits at the same time. For example, it can calculate 2D molecular topological descriptor easily, operate without difficulty and possess definite physicochemical meaning of 3D molecular structural characterization methods, and may fetch the complicated information of molecule, etc. Therefore, it is appropriate for the study on quantitative structure-property/activity relationship （QSPR/QSAR） of medicines and biological molecules. We attempt in this paper to utilize the method of CAHC to the quantitative prediction of reversed-phase liquid chromatogram （RPLC） retention data of 33 purine derivatives and 24 steroids. The fitting multiple correlation coefficient R2, cross-validated multiple correlation coefficient Q2 and predicted ability Q^2 pred over test set＇s samples of obtained partial least-square （PLS） regression model are respectively 0.990, 0.893 and 0.977, 0.897, 0.941.
基金supported by the Research Fundof Higher Education of Guangdong Province,China(cgzhzd0406)Agriculture Research Foundation of Guangdong Province,China(2007A020200005-2)
文摘Peel color is an important breeding objective for eggplant. Dark purple and purplish red are the most common colors in commercial eggplant cultivars. A co-dominant amplified fragment length polymorphism （AFLP） marker which was associated with the peel color （each in coupling phase to dark purple and purplish red） was found in studying the genetic diversity in 58 eggplant accessions （contained cultivars and wild relatives）. The maker bands were sequenced and converted to SCAR marker, this polymorphism in sequence was from an inserted/deleted （indels） mutation. And DNA from 136 eggplant materials （inbred lines, F1, and wild relatives） were amplified with the designed SCAR primers as template, high correlation between the SCAR marker and peel color （dark purple and purplish red） was found. Then, bulked line analysis （BLA） combined with AFLP was further used to identify polymorphic fragments, and another six AFLP markers were tested and verified to be associated with peel color, which demonstrated that BLA was an useful method for identifying molecular markers of interested traits. In conclusion, these markers will facilitate the MAS （maker-assisted selection） of eggplant breeding for peel color.
基金This work was supported by the Natural Science Foundation of CQ CSTC (No. 2006BB5177)
文摘Considering atomic property vector and atomic correlative function, the 3-dimensional structural vector of atomic property correlation （3D-VAPC）, a novel descriptor,is defined to characterize a 3-dimensional molecular structure by introducing self-adaptability regulation mechanism and the idea of orientating to customers. Characterizing the structures of 25 bisphenol A compounds by this vector, the QSAR models of three kinds of estrogen activities （ER affinities, gene induction and cell proliferation） have high multiple correlation coefficient （Rcum^2=0.933, 0.813, 0.959） and cross verification coefficient （Qcum^2=0.847, 0.953, 0.798） by support vector machine （SVM）, which suits for nonlinear circumstances. The above results show that the models successfully express the correlation between structure and three kinds of estrogen activities. Therefore, 3D-VAPC exactly reflects the molecular structural information and SVM method correctly describes the correlation between information and property of the compounds.
