研究領(lǐng)域：

化學(xué)信息學(xué)： 以計算機(jī)輔助光譜結(jié)構(gòu)性能關(guān)系為基礎(chǔ)，結(jié)合化學(xué)計量學(xué)模型與算法的研究，構(gòu)建新穎實用的基于小波變換光譜－結(jié)構(gòu)關(guān)聯(lián)體系；化學(xué)軟件研發(fā)。

生物信息學(xué)：蛋白質(zhì)數(shù)據(jù)庫序列的分類和歸屬研究；蛋白質(zhì)結(jié)構(gòu)解析算法；蛋白質(zhì)及相關(guān)類數(shù)據(jù)庫管理系統(tǒng)的研發(fā)。

在研科研項目 （僅列出以項目負(fù)責(zé)人身份承擔(dān)的項目）

主持主研完成（含在研）了國家自然科學(xué)基金項目5項，教育部優(yōu)秀年輕教師基金、博士學(xué)科點專項基金和骨干教師基金各1項，其他省部級科研課題多項，獲部省級成果2項，發(fā)表論文90余篇，出版專著2部，現(xiàn)為四川省化學(xué)化工學(xué)會分析化學(xué)專業(yè)委員會副主任、中國化學(xué)會化學(xué)教育委員會委員、四川省學(xué)術(shù)帶頭人(后備人選)、省跨世紀(jì)杰出青年學(xué)科帶頭人。國家教育部高校理科化學(xué)教學(xué)指導(dǎo)委員會無機(jī)及分析化學(xué)指導(dǎo)組成員。

代表性成果 （獲獎成果、專著、論文、專利，限 10項）

1、 VRML-虛擬現(xiàn)實建模語言在化學(xué)教育中的應(yīng)用，計算機(jī)與應(yīng)用化學(xué)，2002, 19（4）

2、 化學(xué)網(wǎng)絡(luò)數(shù)據(jù)庫在WEB中的實現(xiàn)，化學(xué)通報，2003，66（12）：W125

3、 部分化學(xué)資源數(shù)據(jù)庫的構(gòu)建，四川大學(xué)學(xué)報，2003，40（2）：662-666

4、 信息化學(xué)研究進(jìn)展，化學(xué)研究與應(yīng)用，2002，14（1）90-95

5、 小型化學(xué)實驗室信息管理系統(tǒng)的設(shè)計與開發(fā)，化學(xué)研究與應(yīng)用，2004

6、化學(xué)教育方面論文4篇，IUPAC國際化學(xué)教育會議（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.

1．李夢龍，《Internet與化學(xué)信息導(dǎo)論》，化學(xué)工業(yè)出版社，2001

2．李夢龍，《化學(xué)數(shù)據(jù)速查手冊》，化學(xué)工業(yè)出版社，2003

3．李夢龍，等，《化學(xué)軟件及其應(yīng)用》，化學(xué)工業(yè)出版社，2004

蛋白質(zhì)信息學(xué)：

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

計算機(jī)輔助波譜解析：

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. 謝微,李光明, 陸敏春, 聶伏生, 李夢龍*. 基于支持向量機(jī)的羰基化合物紅外光譜研究， 分析化學(xué)，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, 麻寶成, 李夢龍*,方曉紅*，信號核酸識體用于藥物托普霉素的高靈敏度檢測，高等學(xué)�；瘜W(xué)學(xué)報, 2006，27（5）826-829