李梦龙(人物)

简介:李梦龙,1962年生,理学博士,教授、博士生导师,国家教育部高等学校理科化学教学指导委员会委员,中国化学会化学教育委员会、计算机化学专业委员会委员 ,四川大学化学学院副院长 ,教育部骨干教师、优秀年轻教师基金获得者。发表学术论文近90篇,著作4部,获部省级教学与科研成果奖5项。其出版的教材教辅有《Internet与化学信息导论》、《化学数据速查手册》等。
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李梦龙(人物)的个人经历

研究方向

研究领域:

化学信息学: 以计算机辅助光谱结构性能关系为基础,结合化学计量学模型与算法的研究,构建新颖实用的基于小波变换光谱-结构关联体系;化学软件研发。

生物信息学:蛋白质数据库序列的分类和归属研究;蛋白质结构解析算法;蛋白质及相关类数据库管理系统的研发。

在研科研项目 (仅列出以项目负责人身份承担的项目)

工作业绩

主持主研完成(含在研)了国家自然科学基金项目5项,教育部优秀年轻教师基金、博士学科点专项基金和骨干教师基金各1项,其他省部级科研课题多项,获部省级成果2项,发表论文90余篇,出版专著2部,现为四川省化学化工学会分析化学专业委员会副主任、中国化学会化学教育委员会委员、四川省学术带头人(后备人选)、省跨世纪杰出青年学科带头人。国家教育部高校理科化学教学指导委员会无机及分析化学指导组成员。

李梦龙

代表性成果 (获奖成果、专著、论文、专利,限 10项)

教研论文

1、 VRML-虚拟现实建模语言在化学教育中的应用,计算机与应用化学,2002, 19(4)

2、 化学网络数据库在WEB中的实现,化学通报,2003,66(12):W125

3、 部分化学资源数据库的构建,四川大学学报,2003,40(2):662-666

4、 信息化学研究进展,化学研究与应用,2002,14(1)90-95

5、 小型化学实验室信息管理系统的设计与开发,化学研究与应用,2004

6、化学教育方面论文4篇,IUPAC国际化学教育会议(2005,北京)

(1) The application of chemical element reaction database based on Web in the teaching innovation;

(2) The Design of Fingerprints Quality Evaluation Teaching System;

(3) REPC:Remote Education Platform for Chemistry;

(4) The Designing of chemical Experimental Instruction and Management System based on Web.

教材教辅

1.李梦龙,《Internet与化学信息导论》,化学工业出版社,2001

2.李梦龙,《化学数据速查手册》,化学工业出版社,2003

3.李梦龙,等,《化学软件及其应用》,化学工业出版社,2004

代表论著

蛋白质信息学:

1. Yanzhi Guo, Menglong Li*, Minchun Lu, Zhining Wen, Zhongtian Huang, Predicting G-protein coupled receptors-G-protein coupling specificity based on autocross-covariance transform. Proteins: structure, function, and bioinformatics, 2006, 65, 55-60.

2. Yanzhi Guo, Menglong Li*, Minchun Lu, Zhining Wen, Kelong Wang, Gongbin Li, Jiang Wu. Classifying G protein-coupled receptors and nuclear receptors on the basis of protein power spectrum from fast Fourier transform. Amino Acids. 2006, 30, 397-402.

3. Yanzhi Guo, Menglong Li*, Kelong Wang, Zhining Wen, Minchun Lu, Lixia Liu, Lin Jiang, Fast Fourier Transform-based Support Vector Machine for Prediction of G-protein Coupled Receptor Subfamilies. Acta Biochimica et Biophysica Sinica, 2005, 37, 759u2013766.

4. Zhining Wen, Menglong Li*, Yizhou Li, Yanzhi Guo, Kelong Wang, Delaunay triangulation with partial least squares projection to latent structures: a model for G-protein coupled receptors classification and fast structure recognition. Amino Acids. 2006, DOI: 10.1007/ s-y.

5. Kelong Wang, Zhining Wen, Fusheng Nie, Menglong Li*, A new hybrid model of amino acid substitution for protein. Chinese Chemical Letters, 2005, 16, 1133-1136.

6. Zhining Wen, Kelong Wang, Menglong Li*, Fusheng Nie, Yi Yang, Analyzing functional similarity of protein sequences with discrete wavelet transform. Computational biology and Chemistry. 2005, 29, 220-228.

7. Lin Jiang, Menglong Li*, Zhining Wen, Kelong Wang, Yuanbo Diao, Prediction of mitochondrial proteins using discrete wavelet transform. The protein Journal. 2006, 25(4):241-299

8. Lixia Liu, Menglong Li*, Fuyuan Tan, Minchun Lu, Kelong Wang, Zhining Wen, Yanzhi Guo, Lin Jiang, Local sequence information based Support Vector Machine to classify voltage-gated potassium channels. Acta Biochimica et Biophysica Sinica, 2006, 38, 363-371.

9. Fuyuan Tan, Xiaoyu Feng, Zheng Fang, Menglong Li*, Yanzhi Guo, Lin Jiang, Prediction of mitochondrial proteins based on genetic algorithm u2013 partial least squares and support vector machine, Amino Acids. 2006, DOI 10.1007/ s--0

10. Wenli Qin, Yizhou Li, Juan Li, Lezheng Yu, Di Wu, Runyu Jing, Xuemei Pu, Yanzhi Guo*, Menglong Li*, Predicting deleterious non-synonymous single nucleotidepolymorphisms in signal peptides based on hybrid sequence attributes.Comput.Bio. Chem. 2012, 36, 31-35.

11. JiesiLuo, Lezheng Yu, Yanzhi Guo*,Menglong Li*, Functional classification of secreted proteins by positionspecific scoring matrix and auto covariance. Chemom. Intell. Lab. Syst.,2012,110, 163-167

12. Yanzhi Guo, Xuemei Pu, MenglongLi*, Gongbin Li, Xuanmin Guang, Wenjia Xiong, Juan Li, Short Report PRED_PPI:aserver for predicting protein-protein interactions based on sequence data withprobability assignment,BMC. Research. Notes,2010,3,145

13. Lijuan Zhu,Wei Yang, YanYan Meng, Yanzhi Guo, Xuemei Pu, Menglong Li*, Effects of organic solvent and the crystalwater on g-chymotrypsin in acetonitrile media:observations from molecular dynamics simulation and DFT calculation,J.Phys .Chem. B,dx.doi.org/10.1021/jp3002405

14. Xiuchan Xiao, Ying Tan, Lijuan Zhu, Yanzhi Guo, Zhining Wen,Menglong Li*, Xuemei Pu, Anmin Tian, Effects of the position and manner ofhydration on the stability of solvated N-methylacetamides and the strength ofbinding between N-methylacetamide and water clusters: a computational study, J.Mol. Model, DOI 10.1007/s00894-011-1166-5

15. Anqun Chen , Xuemei Pu, Shuhua He,Yanzhi Guo, Menglong Li*, Ning-Bew Wong, AnminTian, Solvent Effects on Isolated Formamide and ItsMonohydrated Complex: Observations from PCM Study, New J. Chem.,2009, 33,1709-1719.

16. Yizhou Li, Gingbin Li,Zhining Wen, Jiamin Xiao, Hui Yin, Mei Hu, Menglong Li*, Novel feature for catalytic protein residuesreflecting interactions with other residues. PLoS ONE.,doi:10.1371/journal.pone.0016932

17. Yizhou Li, Wen Zhining, Jiamin Xiao, Hui Yin,LeZheng Yu, Li Yang, Menglong Li*, Predicting disease-associated substitution ofa single amino acid by revealing residue interactions. BMCBioinformatics, 2011, 12:14, doi:10.1186/1471-2105-12-14.

18. Ying Tan, Lijuan Zhu, Xiuchan Xiao, Yanzhi Guo,Menglong Li*, Anmin Tian,Xuemei Pu, A Comparative study of Meta/Para Substitution effects on theHydrogen-Bonded Complex of Aniline-H2O:Observations from Computation, J. Theor. Comput. Chem.,2011, 10,567-579.

19. Shuhua He, Ying Tan, Xiuchan Xiao, Lijuan Zhu, Yanzhi Guo,Menglong Li*, Anmin Tian, Xuemei Pu,*, Ning-Bew Wong, Substituent effects on electroniccharacter of the C=N group and trans/cis isomerization in the C-substitutedimine derivatives:A computational study, J. Mol. Struct.Theochem,2010, 951, 7-13.

20. Daichuan Ma, Yuanbo Diao, Yanzhi Guo, Yizhou Li, Yongqing Zhang, Jiang Wu, MenglongLi*, A Novel Method to PredictProtein-Protein Interactions Based on the Information of Protein-ProteinInteraction Networks and Protein Sequence.Protein Peptide Lett, 2011, 18,906-911.

21. Daichuan Ma, Jiamin Xiao, Yizhou Li, Yuanbo Diao, Yanzhi Guo, Menglong Li*, Feature importance analysis in guide strandidentification of microRNAs. Comput. Boil. Chem., 2011, 35,131u2013136.

22. Lezheng Yu, YanzhiGuo, Zheng Zhang, Yizhou Li, Menglong Li*, Gongbing Li, Wenjia Xiong, YuhongZeng, SecretP: A new method for predicting mammalian secreted proteins. Peptides,2010, 31, 574u2013578.

23. Lezheng Yu, YanzhiGuo, Yizhou Li, Gongbing Li, Menglong Li*, SecretP: Identifyingbacterial secreted proteins by fusing new features into Chouu2019s pseudo-aminoacid composition.J. Theor. Biol., 2010,267, 1-6.

24. Xuanmin Guang, YanzhiGuo, Jaimin Xiao, Xia Wang, Jing Sun, Wenjia Xiong, Menglong Li*,Predicting the state of cysteines based on sequence information. J. Theor.Biol., 2010,267, 312-318.

25. Xuanmin Guang, YanzhiGuo, Xia Wang, Menglong Li*, Prediction of Neurotoxins by Support Vector Machine basedon Multiple Feature Vectors. Interdiscip Sci Comput Life Sci, 2010, 2, 241-246

26. Wenjia Xiong, Yanzhi Guo,Menglong Li*, Prediction of Lipid-Binding Sites Based on Support Vector Machineand Position Specific Scoring Matrix.Protein. J., 2010, 29, 427-431

27. YuhongZeng, Yanzhi Guo, RongquanXiao, Li Yang, Lezheng Yu, Menglong Li*, Prediction of Mitochondrial proteinsbased on genetic algorithm-partial least squares and support vector machine. J. THEOR. BIOL., 2009,259, 366-372.

28. Rongquan Xiao, Yanzhi Guo, Yuhong Zeng, HaifengTan, Xuemei Pu, Menglong Li*, Using position specific scoring matrix and autocovariance to predict protein subnuclear localization. J. Biomed.Sci. Eng., 2009, 2, 51-56..

29. Jiamin Xiao, YizhouLi, Kelong Wang, Zhining Wen, Menglong Li*, In silico method forsystematic analysis of feature importance in microRNA-mRNA interactions. BMC Bioinformatics, 2009, 10, 427,doi: 10.1186/1471-2105-10-427.

30. Jiajian Yin,Yuanbo Diao, Zhining Wen, Zhimeng Wang, Menglong Li*, Studyingpeptides biological activities based on multidimensional descriptors (E) usingsupport vector regression. Int. J.Pept. Res. Ther. 2010, 16:111-121.

31. Yi Li, ZhiNingWen, LongJiang, MengLong Li*, Ning Gao ,YanZhi Guo,Research on the Raman spectral character and diagnostic value of squamous cellcarcinoma of oral mucosa. J. Ramnan. Spectrosc.2009, Doi: 10.1002/jrs.2421.

32. Fuyuan Tan,Xiaoyu Feng, Zheng Fang, Menglong Li*, Yanzhi Guo, Lin Jiang,Prediction of mitochondrial proteins based on genetic algorithm u2013 partial leastsquares and support vector machine, AminoAcids. 2007,33,669-675.

33.Zhimeng Wang,Lin Jiang, Menglong Li*, LinaSun, Rongying Lin, FastFourier Transform-based Support Vector Machine for Subcellular LocalizationPrediction using Different Substitution Models. Acta Bioch Bioph Sin. 2007, 39, 715-721

计算机辅助波谱解析:

34. Chao Tan, Menglong Li*, Calibration Transfer between Two Near-Infrared Spectrometers Based on Wavelet Packet Transform,Analytical Sciences,2006(Accepted).

35. Meng-long Li*, Fu-sheng, Nie, Hua-yi, Qi, Zhi-ning, Wen, Bin, Kang, Method for infrared spectral compression based on the embedded zerotree wavelet. Spectroscopy Letters, 2005, 38, 171-184.

36. Wei XIE, Fu Sheng NIE, Meng Long LI *, Guang Ming LI, Min Chun LU. Alcohols’ Classification by their Infrared Spectra Segment Based on Support Vector Machines, Chinese Chemical Letters, 2006, 17, 929-932

37. Junhong Liu, Minchun Lu, Fusheng Nie, Xiaoyu Feng, Menglong Li*, Functional Group Prediction from Infrared Spectra by using Support Vector Machines, Chinese Chemical Letters,, 2005,16(10):1354-1356

38. 谢微,李光明, 陆敏春, 聂伏生, 李梦龙*. 基于支持向量机的羰基化合物红外光谱研究, 分析化学,2006,34:s113-s117。

合作研究(生命分析方向):

39. Cuisong Zhou, Yaxin Jiang, Baocheng Ma, Menglong Li*, Xiaohong Fang*, Detection of Oncoprotein Platelet-Derived Growth Factor Using Fluorescent Signaling Complex of Aptamer and TOTO,Analytical & Bioanalytical Chemistry, 2006, 384, 1175-1180

40. 周翠松, 江雅新,汪俊, 麻宝成, 李梦龙*,方晓红*,信号核酸识体用于药物托普霉素的高灵敏度检测,高等学校化学学报, 2006,27(5)826-829

更新日期:2024-05-04