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李梦龙
2023-05-12 13:03
  • 李梦龙
  • 李梦龙 - 教 授-四川大学-化学学院-个人资料

近期热点

资料介绍

近期论文


Using support vector machine combined with autocovariance to predict protein–protein interactions from protein sequences, Nucleic Acids Research, 2008,36(9)3025-3030
Predicting G-protein coupled receptors-G-protein coupling specificity based on autocross- covariance transform. Proteins, 2006, 65, 55-60
Computer-assisted prediction of pesticide substructure using mass spectra, Analytica Chimica Acta, 2007, 593 (2) 199–206
Predicting DNA-binding proteins: approached from Chou’s pseudo amino acid composition and other specific sequence features, Amino Acids , 2008, 34(1) 103-109
Using pseudo amino acid composition to predict transmembrane regions in protein: Cellular automata and Lempel-Ziv complexity. Amino Acids , 2008, 34(1)111-117
Feasibility study of identifying cigarettes of different brands by an Adaboost algorithm on near-infrared spectroscopy,Analytical & Bioanalytical Chemistry,2007, 389 (2): 667-674
Prediction of mitochondrial proteins based on genetic algorithm – partial least squares and support vector machine, Amino Acids, 2007,33(4):669-675
Delaunay triangulation with partial least squares projection to latent structures: a model for G-protein coupled receptors classification and fast structure recognition. Amino Acids. 2007, 32(2), 277-283
Classifying G protein-coupled receptors and nuclear receptors on the basis of protein power spectrum from fast Fourier transform. Amino Acids. 2006, 30(4), 397-402
Effects of neighboring sequence environment in predicting cleavage sites of signal peptides, Peptides, 2008, doi:10.1016/j.peptides.2008.04.011
Optimal QSAR analysis of the carcinogenic activity of aromatic and heteroaromatic amine, QSAR Com. Sci., 2008,27(5):543 – 554
The community structure of human cellular signaling Network. Journal of Theoretical Biology,2007,247 (4):608-615
Studying aromatic compounds in infrared spectra based on support vector machine, Vibrational Spectroscopy, 2007, 44(2):243-247
Analyzing functional similarity of protein sequences with discrete wavelet transform. Computational biology and Chemistry. 2005, 29, 220-228.

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