李梦龙 - 四川大学

研究领域

? 生物信息学：蛋白质分类与相互作用、结构解析算法及与生物活性关系研究、蛋白质及相关类数据库管理系统的研发。 ? 化学信息学：化学计量学模型与算法的研究，基于小波变换光谱（质谱）－结构关联体系构建，计算机辅助药物设计。

近期论文

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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.