LEMING SHI, Ph.D.
(Data Mining,
Bioinformatics, Chemoinformatics, Biochips, and Drug Discovery)
|
Home: |
Office: |
|
|
Center for Toxicoinformatics |
|
|
|
|
|
|
|
+1-501-227-8590(H) |
|
|
+1-501-227-8590(Fax) |
+1-870-543-7387(O) |
|
|
+1-870-543-7662(Fax) |
|
|
|
|
www.gene-chips.com |
www.fda.gov/nctr/ |
OBJECTIVES
To meet the challenges
of information explosion in genomics, proteomics, metabonomics, combinatorial
chemistry, high-throughput screening, and biochips by using my extensive
expertise in data mining, chemoinformatics, bioinformatics, computational
chemistry, and chemometrics for the discovery, development, and regulation of
better medicine and healthcare for human beings.
EDUCATION
Ph.D. in Computational Chemistry 9/1988-7/1991
Laboratory
of Computational Chemistry,
M.Sc. in Computational Chemistry and
Chemometrics 9/1985-7/1988
Department
of Modern Chemistry,
B.Sc. in Analytical Chemistry 9/1981-7/1985
Department
of Chemistry and Chemical Engineering,
EMPLOYMENT
AND MAIN RESPONSIBILITIES
Computational Chemist (Principal Investigator in
Biochemoinformatics) 4/2003-Present
Co-founder, Director of Informatics 5/2001-4/2003
Chipscreen Biosciences, Ltd.,
Senior Scientist 7/2000-5/2001
BASF
Corp.,
Senior Research Chemist 8/1999-6/2000
American
Cyanamid Company (a subsidiary of American Home Products Corp., now Wyeth),
Senior Computational Chemist 12/1997-8/1999
R.O.W. Sciences, Inc. (now
Northrop Grumman Information Technology),
Visiting Fellow 9/1995-12/1997
Laboratory
of Molecular Pharmacology, National Cancer Institute, NIH,
Research Associate 9/1994-9/1995
Department
of Chemistry,
Assistant and Associate Research Professor 7/1991-8/1994
Laboratory
of Computational Chemistry,
Assistant and Vice President 7/1992-8/1994
RESEARCH
INTERESTS
1.
Systems biology and toxicology
2.
Data mining for DNA microarray gene
expression profiling, SELDI-TOF protein profiling, and NMR metabolic profiling
3.
Knowledge discovery, data mining, and
visualization in chemistry and biology
4.
Bioinformatics, chemoinformatics, toxicoinformatics, and chemometrics
5.
Identification of disease-related genes
6.
Computer-aided drug design and toxicity
prediction
7.
Structure-based drug design
8.
Molecular diversity analysis and
combinatorial library design
9.
Pharmacophore
identification and 3D database searching
10.
Databases, expert systems, machine learning, and artificial
intelligence
11.
Chemical and biological information
exchange on the WWW
PROFESSIONAL
EXPERTISE
1.
Extensive (18 years) experience in
programming, algorithm development, and application of state-of-the-art
technologies of statistics, expert systems, machine learning, and artificial
intelligence in solving challenging problems in chemistry and biology
2.
Formal training and extensive programming
experience in Statistics, Data Structures, Software Engineering, Databases,
Artificial Intelligence, Expert Systems, Pattern Recognition, Fuzzy Set Theory,
Neural Networks, Genetic Algorithms, Chemical Structure Processing, Molecular
Diversity Analysis, etc.
3.
Broad knowledge on chemistry, biology,
pharmacology, and toxicology
4.
Understanding of human diseases, such as
cancer, endocrine disruption, and diabetes
5.
Familiarity with the drug development
process and FDA drug reviewing procedures
6.
Extensive laboratory experience in UV/Vis, FTIR, FTNIR, GC, HPLC, AAS, etc.
7.
Strong publication records (80+ papers
and book chapters)
8.
Creative, self-motivated, diligent,
team-worker, and a quick learner
COMPUTER
SKILLS
1.
Platforms: PC, Macintosh, DEC Vax, DEC Alpha, IBM and SGI workstations
2.
Operating Systems: DOS, Windows/NT, VMS,
and Unix/Linux
3.
Languages: Basic, Fortran, Pascal, LISP,
Prolog, C, C++, SAS/JMP, S-Plus, Matlab, HTML, Visual
Basic, Tcl/Tk, Perl, and CGI
4.
Molecular Modeling and bioinformatics: Sybyl, Cerius2, InsightII,
CODESSA/AMPAC, APEX-3D, MOE, MOPAC, Gaussian, Quanta/CHARMm;
Protein and DNA sequence analysis packages (e.g. GCG)
5.
Databases and Diversity Analysis: Oracle,
Access, ISIS/Base/Host/Chemscape, Unity, Catalyst, Chem-X, Concord, Corina, NCI drug
information system, Cambridge structural database, Brookhaven protein data
bank, Protein and nucleic acid sequence databases, DiverseSolutions,
Legion/Selector
6.
Genetic Linkage Analysis: SOLAR, SLINK,
LINKAGE and FASTLINK.
RECENT
TRAINING/CONFERENCES/SEMINARS
1.
Chemistry and Biology: Partners in
Decoding the Genome,
2.
The Second Committee Meeting of IUPAC
Task Force on Biochips and Nanotechnology,
3.
International Forum on
Biochip Technologies,
4. The
First Committee Meeting of IUPAC Task Force on Biochips and Nanotechnology,
5.
LabAutomation2002,
6.
Gene
Expression and Proteomics in Environmental Health Research, National Institutes of
Health,
7. 221st
American Chemical Society National Meeting,
8.
HTS Technologies,
9.
International Forum on Biochip
Technologies,
10.
Bioinformatics Symposium,
11.
Innovative Computational Applications:
The Interface of Library Design, Bioinformatics, Structure Based Drug Design
and Virtual Screening,
12.
1999 Keystone Symposia on Endocrine
Disruptors (B5),
13.
Drug Discovery Technology'98: Breaking
the Bottleneck: Innovation and Speed in Drug Discovery,
14.
DNA Microarray: Current Technology and
Future Applications Workshop,
15.
Short course on clustering during the
Joint Annual Meeting of the Classification Society of North America and the
Psychometric Society,
16.
215th American Chemical Society National
Meeting,
17.
American Chemical Society Short Course on
Molecular Biology and Recombinant DNA Technology, Dallas, Texas, March 27-28,
1998.
18.
Principles of Toxicology (3 credit hours
course), NIH, 1997.
19.
From Molecules to the Market: FDA Drug
Reviewing Procedures (3 credit hours course), FDA/NIH, 1997.
EDITORIAL
ADVISORY BOARD
1.
Computers
and Applied Chemistry (
2.
Expert
Review of Molecular Diagnostics (
JOURNAL REFEREE
1. Journal of Chemical Information and Computer
Science
2. Journal of Medicinal Chemistry
3. Molecular Pharmacology
4. Bioinformatics
5. Briefings in Bioinformatics
6. Trends in Biotechnology
7. BioTechniques
8.
Computers
and Applied Chemistry
9.
Expert
Review of Molecular Diagnostics
10. Journal
of VLSI Signal Processing
11. Pattern
Analysis & Applications
12. Journal
of Biopharmaceutical Statistics
13. Journal
of Biomedical Nanotechnology
14. Frontiers
in Bioscience
15. Journal
of Computational Chemistry
16. Machine
Learning
17. Biotechnology
and Bioengineering
GRANT REVIEWER
1. The Department of
2. The Department of
3. The National Institutes of Health (NIH),
4. The Food and Drug Administration (FDA),
5. The Environmental Protection Agency (EPA),
6. American Society for
HONORS
AND OTHER SPECIAL SCIENTIFIC RECOGNITION
1. Member
of the USEPA Review Panel on Computational Toxicology & Endocrine Disruptors:
Use of Systems Biology in Hazard Identification & Risk Assessment,
2. Member
of the USEPA Review Panel on the Development of High-Throughput Screening
Approaches for the Endocrine Disruptor Program, Washington, DC, May, 2003.
Invited.
3. Interviewed
and reported by Science magazine several times for work on microarrays,
bioinformatics, and chemoinformatics, see e.g.
http://www.sciencemag.org/content/vol285/issue5429/netwatch.shtml;
http://www.sciencemag.org/feature/e-market/benchtop/dnamicro.shl;
http://www.sciencemag.org/feature/e-market/benchtop/dnachips.shl
4. Interviewed
and reported by BioInform magazine on
“Solutions:
5. Member of the IUPAC (International
6. First Place Award Winner from Shenzhen Municipal
Government for Honoring Oversea Chinese Returnees with Extraordinary
Contribution to Shenzhen’s High-Tech Industry, 2002. (Cash award of 120,000
RMB, approx. 15,000 USD)
7. Principal Investigator of three bioinformatics
grants awarded by
8. Member
of the Scientific Committee of the First Critical Assessment of Microarray Data
Analysis (CAMDA’00), Duke University,
9. Marquis
Who's Who in Science and Engineering, Millennium Edition (5th), 2000
10. Certified
by the
11. NIH
Forgarty Research Fellowship Award, NIH, Bethesda,
Maryland, 1995-1997
12. State
Education Committee of China Award for the Advancement of Science and
Technology, for a project on Chemometrics and Chemical Derivation Enhanced Fluorimetry,
13. Education
Committee of Hunan Province Award for the Advancement of Science and
Technology, for a project on the Research and Application of Chemical
Derivation Enhanced Fluorimetry, Changsha,
China, 1996
14. Ministry
of Mechanical Engineering of China Award for the Advancement of Science and
Technology, for a project on the Application of Chemometrics for Data
Resolution in Chemistry, Beijing, China, 1995
15. Special
Invited Speaker of the Japanese Chemical Society at its Third
16. Outstanding
Graduate Student Award,
17. Outstanding
Graduate Student Award, Univ. Sci. & Tech. of
18. Outstanding
Student Award,
PROFESSIONAL
SOCIETIES
1.
American Association for the Advancement
of Science (AAAS), since 1995
2.
American Chemical Society (ACS), since
1994
3.
International Chemometrics Society (ICS),
since 1994
4.
Classification Society of
5.
Society for Biomolecular
Screening (SBS), since 2001
6.
Association
for Laboratory Automation (
7.
QSAR and Modelling
Society, since 1995
8.
Chinese Chemical Society (CCS), since
1986
REFERENCES
|
Gerald W. Stockton, Ph.D. Former Senior Group
Leader BASF Corp. (215) 295-8822 gstockton@comcast.net |
Roger G. Perkins, M.Sc. Director, Scientific
Computation Northrop Grumman
Information Technology (870) 543-7049,
543-7382 rperkins@nctr.fda.gov |
|
John N. Weinstein, M.D., Ph.D. Senior Investigator Laboratory of
Molecular Pharmacology National Cancer
Institute National Institutes
of Health (301) 496-9571,
402-0752(Fax) weinstein@dtpax2.ncifcrf.gov |
Gilles Klopman,
Ph.D. Charles F. Mabery Professor of Research Department of
Chemistry (216) 368-3618, 368-5921(Fax) gxk6@po.cwru.edu |
LIST
OF PUBLICATIONS (100+ manuscripts and book chapters)
1. Shi
L, Tong W, Fang H, Goodsaid F, Frueh FW, Han T, Fuscoe JC,
and Casciano DA. QA/QC: Challenges and pitfalls facing the microarray community
and regulatory agencies. Expert
Review of Molecular Diagnostics, 4(6), 761-777 (2004).
2.
Tan Y, Shi L, Tong W, Wang C.
Multi-class cancer classification by total principal component regression
(TPCR) using microarray gene expression data. Nucleic
Acids Research, 33(1), 56-65 (2004).
3. Shi
L, Tong W, Fang H, Fuscoe JC, and Casciano DA. The reality of
cross-platform comparability of microarray technology. Science, submitted as Letter, Dec 6,
(2004).
4. Shi
L, Tong W, Fang H, Scherf U, Han J, Puri RK, Frueh FW,
Goodsaid FM, Su Z, Chen JJ, Han T, Fuscoe JC, Xu ZA, Hong H, Xie Q, Perkins RG,
and Casciano DA. Cross-platform comparability of microarray technology:
Intra-platform consistency and appropriate data analysis procedures are
essential. Nucleic Acids Research, in
preparation (2005).
5. Shi
L, Tong W, SU Z, Han T, Han J, Puri RK, Frueh FW, Goodsaid
FM, Fang H, Branham WS, Chen JJ, Xu ZA, Harris SC, Hong H, Xie Q, Perkins RG,
Fuscoe JC. Characteristics and implications of microarray scanner calibration
curves. BMC Bioinformatics, submitted
(2005).
6. Fuscoe
JC, Branham WS, Melvin CD, Desai VG, Moland CL, Han T, Shi L, Scully A,
Delongchamp RR. Technical issues involved in obtaining reliable data from
microarray experiments. Regulatory
Research Perspectives, 4(2), 2004.
7. Fang
H, Tong W, Perkins R, Shi L, Hong H, Cao X, Xie Q, Yim
SH, Ward JM, and Dragan YP. Bioinformatics approaches for cross-species liver
cancer analysis based on microarray gene expression profiling. BMC Bioinformatics, submitted (2005).
8. Hong
H, Dragan YP, Epstein J, Tong W, Teitel C, Chen B, Xie Q, Fang H, Shi L,
and Perkins R. Quality control and quality assessment in data analysis for
identification of biomarker proteins using surface-enhanced laser
description/ionization (SELDI) time-of flight (TOF) mass spectrometry. BMC Bioinformatics, submitted (2005).
9. Liao C, Liu B, Shi L,
Zhou J, Lu XP. Construction of a virtual combinatorial library using SMILES
strings to discover potential structure-diverse PPAR modulators. European Journal of Medicinal Chemistry,
in press (2004)
10. Li
Z, Liao C, Ko BC, Shan S,
Tong EH, Yin Z, Pan D, Wong VK, Shi L, Ning ZQ, Hu W, Zhou J, Chung SS,
Lu XP. Design, synthesis, and evaluation of a new class of noncyclic
1,3-dicarbonyl compounds as PPARalpha
selective activators. Bioorganic and
Medicinal Chemistry Letter, 14(13), 3507-3511 (2004).
11.
Tan Y, Shi L, Wang C, Hwang GTG,
Tong W. Multi-class tumor classification by discriminant
partial least squares using microarray gene expression data and assessment of
classification models.
Computational Biology and Chemistry,
28(3), 235-243 (2004).
12.
Tong
W, Xie Q, Hong H, Shi L, Fang H, Perkins R, Petricoin
EF. Assessment of prediction confidence and domain extrapolation of two
structure-activity relationship models for predicting estrogen receptor binding
activity. Environmental Health
Perspectives, 112, 1249-1254 (2004).
13.
Tong
W, Xie Q, Hong H, Fang H, Shi L, Perkins R, Petricoin
EF. Using decision forest to classify prostate cancer samples based on
SELDI-TOF MS data – assessing chance correlation and prediction confidence. Environmental Health Perspectives,
112(16), 1622-1627 (2004).
14.
Su
ZQ, Pan DS, Shan S, Hu WM, Ning ZQ, Li ZB, Shi LM, Liao
CZ, Zhang DJ, Qiao W, Lu XP. The Important role of
biochemoinformatics in drug discovery and development. Chinese Journal of
New Drug. In press (2004).
15. Fang H, Tong W, Shi L,
Jakab RL, Bowyer JF. cDNA
arrays are sensitive tools for detecting significant differences in gene
expression patterns within brain regions. DNA
and Cell Biology, 23(10), 661-674 (2004).
16. Hong H, Tong W, Perkins
R, Fang H, Xie Q, Shi L. Multi-class decision forest - a novel pattern
recognition method for multi-class classification in microarray data analysis. DNA and Cell Biology, 23(10),
685-694 (2004).
17. Tong
W, Harris S, Cao X, Fang H, Shi L, Sun H, Fuscoe J, Harris A, Hong H,
Xie Q, Perkins R, Casciano D. Development of public toxicogenomics software for
microarray data management and analysis. Mutation
Research, 549(1-2), 241-253 (2004).
18. Su ZQ, Lu XP, Shi LM. The application of
multithreading parallel and distributed computing in construction of Oracle
database for storage and retrieval of chemical structure data. Computers and Applied Chemistry (
19. Shi
LM. Advances in the mining of DNA microarray data.
Manuscript in preparation (2003).
[This manuscript is based on information I provided on www.gene-chips.com under
"Data Mining" section. This
site was reviewed favorably by Science magazine, 1999 August 6; 285(5429):799,
and many other sites/journals]
20. Liao C, Xie A, Shi L,
Zhou J, Lu X. Eigen value analysis of peroxisome proliferator-activated
receptor γ agonists. Journal
of Chemical Information and Computer Sciences, 44(1), 230-238 (2004).
21. Liao C, Xie A, Zhou J, Shi L, Li Z, Lu X. 3D QSAR studies on peroxisome
proliferator-activated receptor γ agonists using
CoMFA and CoMSIA. Journal of Molecular Modeling, 10(3),
165-177 (2004).
22. Xie A, Liao C, Li Z, Ning
Z, Hu W, Lu X, Shi L, Zhou J. Quantitative structure-activity relationship
study of histone deacetylase
inhibitors. Current Medicinal Chemistry – Anti-cancer
Agents, 4(3), 273-299 (2004).
23. Xie A, Liao C, Li Z, Ning
Z, Hu W, Lu X, Shi L, Zhou J. Quantitative structure-activity relationship
study of bisphosphonates. Internet
Electronic Journal of Molecular Design, 3, 622-650 (2004).
24. Xie AH, Liao CZ, Li ZB,
Ning ZQ, Hu WM, Lu XP, Zhou JJ, Shi LM. Design, synthesis, and biological activities of
novel histone deacetylase inhibitors. manuscript in preparation (2004).
25. Xie AH, Li BY, Shan S, Deng T, Li ZB, Ning ZQ, Hu
WM, Shi LM, Zhou JJ, Lu XP. New development of histone
deacetylase inhibitors as anticancer agents. Chinese Journal of New Drugs, In press (2004).
26.
Xie AH, Li BY, Liao
CZ, Li ZB, Lu XP, Shi LM, Zhou JJ. Docking study of HDAC: Implication for
the binding mode of benzamide inhibitors. Acta Phys. Chim. Sin. (Wuli Huaxue Xuebao).
20(6), 569-572 (2004).
27. Liao CZ, Xie AH, Li ZB, Lu XP,
Zhou JJ, Shi LM. Construction
of a virtual combinatorial chemical library by using SMILES strings for the
discovery of anti type 2 diabetic drugs. manuscript in preparation (2004).
28. Shi L,
Tong W, LU XP. Biochemoinformatics: integrating bioinformatics
and chemoinformatics for drug discovery and development, European Biopharmaceutical Review, 59-62, Autumn
(2003). Invited review
29. Tong
W, Cao X, Harris S, Sun H, Fang H, Fuscoe J, Harris A, Hong H, Xie Q, Perkins
R, Shi L, Casciano D. ArrayTrack - supporting
toxicogenomic research at the U.S. Food and
30. Shi
L, Hu W, Su Z, Lu
X, Tong W. Chapter 13: Microarrays: technologies and applications. in Fungal Genomics, Volume 3 of Applied
Mycology and Biotechnology, D. K. Arora and G. G.
Khachatourians (Editors), Elsevier Science,
pp.271-293 (2003). ISBN:
0-444-51442-2. Invited book chapter
31. Su ZQ, Liao CZ, Xie AH,
Lu XP, Shi LM. An Oracle database for efficient storage
and retrieval of chemical structure data. Computers and Applied
Chemistry (
32. Shi LM, Su ZQ, Xie AH, Liao CZ, Qiao
W, Zhang DJ, Shan S, Pan DS, Li ZB, Ning ZQ, Hu WM, Lu XP. An
integrated biochemoinformatics system for drug discovery: managing and mining chemical structure information,
biological activity fingerprints, and gene expression profiling patterns. in The Frontiers of Biochip Technologies, W.L. Xing and J. Cheng (Editors), Kluwer Academic Press, in press (2004). Invited book chapter
33. Shi
L. DNA chip technology: more interesting applications to open up in Life
Sciences, in “50 Years of DNA”,
pp.57-59, April 2003. ISBN 0-9545135-0-9. (A Business Weekly publication in association with The Wellcome Trust,
34. Tong
W, Welsh WJ, Shi L, Fang H, Perkins R. Structure-activity relationship
approaches and applications. Environmental Toxicology and Chemistry,
22(8), 1680-95 (2003).
35. Shi
LM, Tong WD. Data mining: an integrated approach
for drug discovery. in Biochips: Technology and Applications, W.L Xing and J. Cheng
(Editors),
36. Liao CZ, Deng T, Shan S, Pan DS, Li ZB, Ning ZQ, Hu WM,
Shi LM, Zhou JJ, Lu XP. Current strategies of developing novel
anti type 2 diabetic drugs via PPAR. Chinese Journal of New Drugs, 13(1), (2004).
37. Shi
LM. An integrated biochemoinformatics system and
its applications to drug discovery. in Facing the Frontiers of the World’s Life Sciences – Recent Innovative Progresses
in Functional Genomics and Biochips Made by Some Chinese Universities,
Department of Education of China, (2002).
38. Shi
L, Tong W, Fang H, Xie Q, Hong H, Perkins R, Wu J, Tu M,
Blair RM, Branham WS, Waller C, Walker J, Sheehan DM. An integrated "4-phase"
approach for setting endocrine disruption screening priorities--phase I and II
predictions of estrogen receptor binding affinity. SAR QSAR Environ Res 13(1):69-88 (2002).
39. Hong
H, Tong W, Fang H, Shi L, Qian X, Wu J, Perkins R, Walker JD, Braham W,
Sheehan D. Prediction of estrogen receptor binding for 58,000 chemicals using
an integrated
system of a tree-based model with structural alerts. Environ Health Perspectives 110(1), 29-36 (2002).
40.
Branham WS, Dial SL, Moland CL, Hass B,
Blair R, Fang H, Shi L, Tong W, Perkins R, Sheehan DM. Phytoestrogens and mycoestrogens
bind to the rat uterine estrogen receptor. Journal of Nutrition, 132, 658-664 (2002).
41. Shi
L, Arrays, molecular diagnostics, personalized therapy, and
informatics (invited editorial).
Expert Review of Molecular Diagnostics, 1(4), 363-365 (2001).
42. Tong
W, Perkins R, Wu J, Shi L, Tu M, Fang H, Blair R, Branham W, Sheehan DM.
An integrated computational approach for prioritizing potential estrogens. Proceeding
of the International Symposium on Environmental Endocrine Disruptors, Dec,
43. Fan
Y, Shi LM, Kurt KW, Pommier Y, Weinstein JN.
Quantitative structure-antitumor activity
relationships of camptothecin analogues: cluster
analysis and genetic algorithm-based studies. Journal of Medicinal Chemistry, 44(20), 3254-3263 (2001).
44. Fang
H, Tong W, Shi LM, Blair R, Perkins R, Branham W, Hass BS, Xie Q, Dial
SL, Moland CL, Sheehan DM. Structure-activity relationships of estrogens for a
large diverse set of natural, synthetic and environmental chemicals. Chem. Res. Toxicol.,
14(3), 280-294 (2001).
45. Shi
L M, Fang H, Tong W, Wu J, Perkins R, Blair R,
Branham WS, Sheehan DM. QSAR models using a large diverse set of estrogens. Journal of Chemical Information and Computer
Sciences, 41(1), 186-195 (2001).
46. Shi
LM, Fan Y, Lee JK,
47. Blair
RM, Fang H, Branham WS, Hass B, Dial SL, Moland CL, Tong W, Shi L, R.
Perkins, and D. M. Sheehan. The estrogen receptor relative binding affinities
of 188 natural and xenochemicals: structural
diversity of ligands. Toxicological Sciences, 54(1):138-153 (2000).
48. Perkins
R, Anson J, Blair R, Branham W, Chen Y, Dial S, Fang H, Hass B, Jackson M, Lu
M, Meehan J, Moland C, Nossaman R, Shi LM,
Tong W, Welsh W, Sheehan D. The estrogen knowledge base: prototype
toxicological knowledge base and predictive models for endocrine disrupting
compounds. Society of Environmental
Toxicology and Chemistry, Book chapter (2000).
49. Shi
LM, Fan Y, Myers TG, Paull
KD, Weinstein JN. Mining the anticancer activity database generated by the NCI
anticancer drug discovery program using statistical and artificial intelligence
techniques. Mathematical Modelling and Scientific Computing, Vol. 9, 1998.
50. Fan
Y, Pommier Y, Kohn KW, Shi LM, Weinstein JN.
Molecular modeling studies of the DNA - topoisomerase
I ternary cleavable complex with camptothecin. Journal of Medicinal Chemistry,
41(13):2216-2226 (1998).
51. Shi
LM, Fan Y, Myers TG, Paull
KD, Friend SH, Weinstein JN. Mining the NCI anticancer drug discovery database:
genetic function approximation for the QSAR study of anticancer ellipticine analogs. Journal
of Chemical Information and Computer Sciences, 38(2):189-199 (1998).
52. Shi
LM, Myers TG, Fan Y, O'Conner PM, Paull KD, Friend SH, Weinstein JN. Mining the NCI
anticancer drug discovery database: cluster analysis of ellipticine
analogs with p53-inverse and CNS-selective patterns of activity. Molecular Pharmacology, 52(2):241-251
(1998).
53. Shi LM,
Fan Y, Myers TG, Weinstein JN. Genetic function approximation in the
molecular pharmacology of cancer. Proceedings
of the 1997 International Conference on Neural Networks (ICNN'97), Vol. 4,
2490-2493, IEEE,
54. Klopman G, Shi LM,
Ramu A. Quantitative structure-activity relationships
study of multidrug resistance reversal agents. Molecular Pharmacology, 52(2):323-334
(1997).
55. Li
Z, Hu F, Liang B, She H, Li M, Shi L. Neural network in QSAR studies:
estimation and prediction of biological activity for N,N-dimethyl-2-bromo
(substituted phenyl) ethylamine derivatives. J. Med. Chem. of
56. Li
Z, Hu F, Liang B, Yu B, Shi LM, Li M, Sakai M. Neural networks in QSAR
studies: estimation and prediction of biological activity for N-(substituted phenoxyethyl)cyclopropylamines. Acta Pharm. Sinica (Yaoxue Xuebao) 31(1):38-42 (1996).
57. Li
Z, Liu S, Shi L, Pan Z, Lou M, Li M, Yu B. Artificial neural networks
(ANN) as applied to quantitative spectroscopic analysis. J. Appl. Sci. (Yingyong Kexue Xuebao) 13(2):179-183 (1995).
58. Fei W, Liang B, Shi L,
An D, Li Z. Effective processing of structural information for organic
compounds using computer - expression and recognition of molecular skeletons. J.
59. Xia SQ, Xu PL, Sun JH,
Pan ZX, Zhang MS, Shi LM. Determination of six aromatic compounds by
using target factor analysis-UV spectrometry. Fresenius' J. Anal. Chem. 351(2-3):325-327 (1995).
60. Shi
LM. Chapter XVI: Knowledge-based systems in
chemical engineering, in Chinese translation of T.E. Quantrille
& Y.A. Liu's book: Artificial
Intelligence in Chemical Engineering (Academic Press, USA, 1991) (J. Zha, ed.).
61. Shi
LM. Chapter XVII: Artificial neural networks in
chemical engineering, in Chinese translation of T.E. Quantrille
& Y.A. Liu's book: Artificial Intelligence
in Chemical Engineering (Academic Press, USA, 1991) (J. Zha,
ed.).
62. Li
Z, Yu B, Qian F, Shi L, Pan Z, Nie S. Fading
recursive filtering aided spectroscopy. An optimal adaptive algorithm, J. Appl. Sci. (Yingyong Kexue Xuebao) 12(1):150-158
(1994).
63. Li
ZL., Yaegashi O, Liang BX, Shi
LM. Neural networks used in chromatography. (I). Prediction of GC retention
parameters. Chem J. Chinese Univ. (Gaodeng
Xuexiao Huaxue Xuebao) 15(12):1775-1777 (1994).
64. Yu
B, Li M, Liu A, Li Z, Shi L, Pan Z. Some novel methods based on
recursive optimal estimation. Applications to analytical chemistry. Analytica Chimica Acta 277(2):199-204 (1993).
65. Zhou
J, Xu Z, Shi L, Zhang Y, Cai S. Application of
artificial neural networks in prediction of material properties and problem
diagnosis of chemical process. Engineering
Chemistry and Metallurgy (Huagong Yejin)
14(1):57-62 (1993).
66. Zhong L, Shi L
Quantitative analysis of complex spectra using artificial neural networks -
analysis of protein in grain by near infrared spectroscopy. Chinese Science Bulletin (Kexue Tongbao) 38(1):68-71
(1993).
67. Liu
X, Shi L. Fuzzy pattern recognition of the mode of fluidization. in Selected Papers of
Engineering Chemistry and Metallurgy (
68. Li
ZL, Shi LM. Chapter V: Chemometrics: its methodology and application. in Frontiers of Modern
Chemistry (Huaxue Qianyan Luntan) (J. Chen, ed.).
69. Shi
LM Chapter XI: Applications of neural networks in
chemistry. in Frontiers
of Modern Chemistry (Huaxue Qianyan
Luntan) (J. Chen, ed.).
70. Shi
L, Lou M, Li M, Li Z. Resolution of overlapped chromatograms
by using the Kalman filter. Chinese Science Bulletin (Kexue Tongbao) 37(9):804-806 (1992).
71. Shi
L, Liu X, Lin A, Zhuo Z. Kalman filtering spectrophotometric
analysis of mixed synthetic colorants. Anal.
Chem. (Fenxi Huaxue)
20(12):1365-1368 (1992).
72. Shi
L, Zhou J, Liu X, Sun D, Xu Z. Structure-activity relation of
chemical hybridizing agent using artificial neural networks. Chemistry (Huaxue Tongbao) (6):46-48, 37 (1992).
73. Shi
L, Tang H, Zhou J. Applications of neural networks in
chemistry. Chemistry (Huaxue
Tongbao) (11):46-49 (1992).
74. Zhong L,Shi L. Quantitative analysis on uv spectra of six amino acids by artificial neural network.
Acta Biophysica Sinica (Shengwu Wuli Xuebao) 8(4):706-710
(1992).
75. Shi
L, Li Z, Xu Z, Pan Z. Simultaneous analysis of cobalt(II),
nickel(II), copper(II), zinc(II), and cadmium(II) by spectrophotometry
and the Kalman filter. Journal of Chemometrics 5(3):193-199 (1991).
76. Shi
L, Xu Z, Pan Z, Liu X, Gao Y, Qian
F, Nie S, Li Z. Application of the Kalman filter algorithm to the simultaneous determination
of four amino acids by direct UV spectrophotometry. Journal of Micronutrient Analysis (
77. Li
Z, Lin H, Li M, Shi L, Yu R. Fluorimetric
study on the inclusion complex reaction of cyclodextrin
with phenols. Chem. J. Chinese Univ. (Gaodeng Xuexiao Huaxue Xuebao) 12(1):30-32
(1991).
78. Li
Z, Yu R, Shi L, Xu J, Zhang M, Wang Q. Valence-state speciation of
sulfur by x-ray fluorescence spectrometry and Kalman
filtering. Ana. Chim.
Acta 248(1):257-261 (1991).
79. Liu
X, Shi L, Xu Z, Pan Z, Li Z, Gao Y. Partial
Least-Squares (PLS) regression and spectrophotometry
as applied to the analysis of multicomponent
mixtures. Chin. Chem. Lett.
2(3):233-236 (1991).
80. Shi
L, Pan Z, Wang Q. Resolution of overlapped x-ray fluorescence
spectra using the Kalman filter. Microcomputer Applications (
81. Shi
L, Xu Z, Yan Y, Jin M, Pan Z, Li Z. Rapid determination of
protein in millet by Fourier transform near-infrared (FTNIR) diffuse
reflectance spectroscopy. Chin. Chem. Lett. 1(3):247-250 (1990).
82. Shi
L, Xu Z, Liu X. Fuzzy set theory and its applications in
chemistry. Chemistry (Huaxue
Tongbao) (7):20-25 (1990).
83. Li ZL, Li ML, Qian F, Shi LM, Yu RQ. Kalman filtering-titrimetry:
potentiometric titration of benzalkonium
bromide. Acta Pharm. Sinica (Yaoxue Xuebao) 25(1):35-43 (1990).
84. Xu
J, Zhang M, Shi L. Representation and recognition of chemical
structures. Chemistry (Huaxue Tongbao) (11):58-64,
inside back cover (1990).
85. Pan
Z, Xia S, Si S, Zhang M, Shi
L, Liu X. Target factor analysis: UV spectrophotometry
for the simultaneous determination of six amino acids. Journal of Chemometrics 4(4):323-330 (1990).
86. Li
Z, Li M, Shi L, Yu R. Study on Kalman
filtering titrimetric method. II. Model of
thermodynamically non-equilibrium titration. Anal. Chem. (Fenxi Huaxue)
18(11):1044-1047 (1990).
87. Li
M, Shi L, Li Z, Yu R. Partial least squares spectrophotometry
for simultaneous microdetermination of manganese,
copper, zinc and cadmium. Anal. Lab. (Fenxi Shiyanshi) 9(6):12-15
(1990).
88. Li
Z, Shi L, Li M, Lin H, Yu R. A highly sensitive and selective method for
trace multicomponent analysis - Kalman
filtering spectrophotometry. Acta Chim. Sinica (Huaxue Xuebao)
48(11):1101-1107 (1990).
89. Li
Z, Li M, Shi L, Yu R. Study of chemical equilibrium by Kalman filtering spectrometry. Chem. J. Chinese Univ. (Gaodeng Xuexiao Huaxue Xuebao) 11(8):825-827 (1990).
90. Xia S, Pan Z, Zhang M,
Liu X, Shi L, Li Z. Determination of aromatic compounds by factor
analysis- spectrophotometry. J. Univ. Sci. & Tech.
91. Shi
L, Xu J, Cai W, Zhang M. Expert
systems for design of organic synthetic pathways. Chemical World (Huaxue Shijie)
31(4):151-156 (1990).
92. Li
Z, Shi L, Li M, Yu R. Kalman filter fluorometry and its application to simultaneous
determination of mixture of fluorescent dye. Chem. J. Chinese Univ. (Gaodeng Xuexiao Huaxue Xuebao) 11(3):245-249 (1990).
93. Li
Z, Qiu X, Shi L, Qian F, Lin H. Inclusion
chromatography and its application in pharmaceutical analysis. J. Pharmaceutical Sci.
of
94. Li
Z, Li M, Lin H, Shi L, Yu R. Study on the linear combination of multiwavelength data - improvement of selectivity for spectrophotometry. Anal.
Chem. (Fenxi Huaxue)
18(3):201-205 (1990).
95. Li
Z, Shi L, Li M, Yu R. Application and development of organic and azo reagents for inorganic fluorometry
analysis. Anal. Chem. (Fenxi Huaxue) 18(8):780-790
(1990).
96. Li
Z, Shi L, Li M, Yu R. Chemometrics and its development in spectrophotometric analysis in China. Anal. Chem. (Fenxi Huaxue)
18(6):588-595 (1990).
97. Li
M, Shi L, Liu S, Li Z, Yu R. Linear combination of spectrophotometry
of multi-wavelength data and its applications. Chem. J. Chinese Univ. (Gaodeng Xuexiao Huaxue Xuebao) 11(7):693-697 (1990).
98. Qian
F, Shi L, Li Z. Simultaneous determination of gas mixtures containing
propane and n-hexane by IR spectrometry - application of the Kalman filter and multi-wavelength regression method. Physical and Chemical Testing (Lihua Jianyan, Huaxue Fence) 25(3):138-139, 141 (1989).
99. Shi
L, Zhang M, Li Z. Expert systems and modern analytical
chemistry. Anal. Chem. (Fenxi Huaxue) 17(10):949-956
(1989).
100.
Liu X, Lin A, Shi L. Microdetermination of multicomponents
with Kalman filtering on the DMS/VIS
spectrophotometer-IBM PC/AT on-line system. Anal.
Chem. (Fenxi Huaxue)
17(12):1125-1127, 1146 (1989).
101.
Shi L, Zhang M, Liu
X, Lin A, Jia Z. On-line simultaneous determination
of multicomponent mixtures by using UV spectrophotometry and Kalman
filter. Chem. J. of
102.
Shi L, Zhang M, Li
Z. Expert system and its applications to chemistry. Nature J. (Ziran Zazhi)
11(6):412-416 (1988).
103.
Liu X, Lin A, Shi L, Zhang M. Simultaneous
determination of seven organic compounds by Kalman
filter-spectrophotometry. J. Univ. Sci. & Tech.
104.
Li Z, Zhang M, Shi L.
Chemometrics: An Outline and Its Progress. Nature
J. (Ziran Zazhi)
11(9):675-677 (1988).
105.
Yang G, Yu Y, Shi L. On the chromogenic reaction of 6-Br-BTAQS with zinc(II).
Anal. Lab. (Fenxi
Shiyanshi) 5(6):4-6 (1986).
106.
Yang G, Yu Y, Shi L. Study on the
Synthesis of the New Chromogenic Reagent 6-Br-BTAQS
and Its Application to the Determination of Nickel(II).
J.
107.
Li Z, Chen J, Shi L. 5-Br-PADAP as
a spectrophotometric reagent for zirconium (IV) in
the presence of Tween-80. Chemical
Reagents (Huaxue Shiji)
7(6):330-332 (1985).
108.
Li Z, Lin H, Shi L, Chen J.
Colorimetric reaction of zirconium (IV) with Eriochrome
Cyanine R in the presence of surfactants. Anal.
Chem. (Fenxi Huaxue)
13(12):920-923 (1985).
RECENT
PRESENTATION
1.
Shi L. QC metrics and thresholds for assessing the overall
quality of a microarray study, The 44th Annual Meeting of the Society of
Toxicology (www.toxicology.org),
2.
Shi L. Pitfalls and challenges of microarray-based pharmacogenomic
and toxicogenomic studies, International Forum on Biochip Technology 2004 (www.capitalbiochip.com/IFBT2004/),
3.
Shi L. Toxicoinformatics: integrating bioinformatics, chemoinformatics,
and chemometrics for omics-based toxicological
studies, International Conference on Chemometrics and Bioinformatics in
Chemistry and Medicine (cheminfo.tongji.edu.cn/ccba2004/),
4.
Shi L. Quality control (QC) metrics and thresholds for assessing
the overall quality of a microarray study, The 2nd
annual conference of the MidSouth Computational
biology and BIOinformatics Society
(MCBIOS 2004, www.mcbios.org), Peabody
Hotel,
5. Shi
L. ArrayTrack: Managing, analyzing, and interpreting
microarray data in toxicogenomic research at the NCTR/FDA, AMET/Toxicology
special interest group meeting at the 9th Annual Meeting of the
Society for Biomolecular Screening (SBS),
6.
Shi L. Data mining in drug discovery, Symposium at
7.
Shi L, ArrayTrack – Supporting toxicogenomic research at the
FDA’s
8.
Lu
XP, Li ZB, Ning ZQ, Shi LM, and Hu WM, Application of chemical genomics
approach in identifying novel PPAR agonists with in vivo anti-diabetic and lipid-modulating activities. Invited
lecture at The 3rd Annual Knowledge Foundation's International Conference on
BIOCHIPS 2003: Technology Development and Application,
9. Shi LM, Su ZQ, Xie AH, Liao CZ,
Qiao W, Zhang DJ, Li ZB,
Ning ZQ, Hu WM, Lu XP, Integrating chemical structures, biological
activity fingerprints, and gene expression profiling for drug discovery. Presentation on “Informatics challenges in
pharmacogenomics” at the 225th
ACS National Meeting,
10. Xie AH, Liao CZ, Li BY, Li ZB, Ning ZQ, Hu WM, Lu XP, Zhou JJ, Shi LM, Quantitative structure-activity relationship study of histone deacetylase inhibitors. Presentation at the 225th ACS National Meeting,
11. Shi
LM. An integrated biochemoinformatics system for
drug discovery. Invited lecture at the International Forum on Biochip
Technologies,
12. Shi
LM. DNA microarray and data mining: from spots to results.
Invited lecture at the XXI WAASPaLM (World Association of Societies of Pathology and
Laboratory Medicine) Congress, Symposium I: Microchips, Microarrays
and Micronisation in Laboratory Diagnostic
Procedures,
13. Shi
LM. DNA microarray and data mining. Invited lecture at the
Chinese Biopharmaceutical Association (CBA) annual meeting,
14. Shi
LM. Data mining: an integrated approach for drug
discovery. Invited lecture at the International Forum on Biochip Technologies,
15. Perkins
R, Anson J, Tong W, Branham W, Blair R, Hass B, Fang H, Shi L, Chen Y,
Meehan J, Nossaman R, Welsh W, Sheehan D. A knowledge
base for mining of endocrine disruptor data, Book of Abstracts, 217th ACS
National Meeting, Anaheim, Calif., March 21-25 (1999), CINF-005 Publisher:
American Chemical Society, Washington, D. C.
16. Shi
LM, Tong W, Perkins R, Chen Y, Tu M, Meehan J, Nossaman R, Welsh WJ, Fang H, Branham W, Blair B, Hass B,
Sheehan D. QSAR models for multiple estrogenic endpoints, 1999 Keystone
Symposia on Endocrine Disruptors (B5), Granlibakken
Resort, Tahoe City, California, January 31 - February 5, 1999.
17. Shi
LM, Tong W, Perkins R, Chen Y, Fang H, Poirier L,
Sheehan D. Classification methods for toxicity prediction and anticancer drug
discovery, Joint Annual Meeting of the Classification Society of North America
and the Psychometric Society, Urbana, Illinois, June 17-21, 1998, p98.
18. Shi LM,
Fan Y, Myers TG, Weinstein JN. Genetic function approximation in the
molecular pharmacology of cancer, Proceedings of the 1997 International
Conference on Neural Networks (ICNN'97), Vol. 4, 2490-2493, IEEE, Houston,
Texas, 1997. ISBN: 0-7803-4122-8
19. Shi LM,
Fan Y, Myers TG, Weinstein JN. Application of cluster analysis and
genetic function approximation to the discovery of anticancer drugs,
Classification Society of North America 1997 Conference, Washington, DC, June
12-15, 1997. pp32-33.
20. Fan Y, Shi LM, Myers TG, Weinstein JN. Quantitative
structure-activity relationships of camptothecin
analogs, 213th Annual Meeting of the American Chemical Society,
21. Shi
LM, Fan Y, Myers TG, Paull
KD, Weinstein JN. Mining the NCI anticancer drug screen database using genetic
function approximation (GFA) and cluster analysis, 213th Annual Meeting of the
American Chemical Society,
22. Shi
LM, Myers TG, Fan Y, O'Conner PM, Paull KD, Friend SH, Weinstein JN. Mining the NCI
anticancer drug screen database: clustering and QSAR studies on candidate
p53-inverse agents, Proceedings of the American Association for Cancer
Research, vol. 38, p232 (Paper #1563). 88th AACR
Annual Meeting,
PATENT
APPLICATIONS
1. Lu XP, Li ZB, Ning ZQ, Shi LM, Wu ZW, Deng
T. Preparation and pharmaceutical use of novel retinoic acid analogs. Filed with USPTO in 2002. US60/393456.
2. Lu XP, Li ZB, Liao CZ, Shi
LM, Liu ZD, Ning ZQ, Shan S, Deng T, Mao BS. Noncyclic
1,3-dicarbonyl compounds as dual PPAR agonists with
potent antihyperglycemic and antihyperlipidemic
activity. Filed with USPTO on
3. Li ZB, Lu XP, Liao CZ, Shi
LM, Liu ZD, Mao BS, Ning ZQ, Shan S, Deng T. Substituted arylalcanoic acid derivatives as PAPR agonists with potent antihyperglycemic and antihyperlipidemic
activity. Filed with USPTO on
Novermber 26, 2002. US60/429221. WO04048333A1
(Publication date:
4. Lu XP, Li ZB, Ning ZQ, Shi LM, Wu ZW, Xie
AH, Shan S. Novel bisphosphonate complexes for the
prevention and treatment of osteoporosis and other bone diseases. Filed with
Chinese patent office in 2002.
5. Lu XP, Li ZB, Xie AH, Shi LM, Li BY, Ning
ZQ, Shan S, Deng T. Novel histone deacetylase inhibitors and their pharmaceutical
uses. Filed with USPTO in 2003.