Research Topics
| Leming ShiSummaryAffiliation: Food and Drug Administration Country: USA Publications
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Publications
Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essentialLeming Shi
National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, USA
BMC Bioinformatics 6:S12. 2005..Nucleic Acids Res., 31, 5676-5684, 2003), portrays a disturbingly negative picture of the cross-platform comparability, and, hence, the reliability of microarray technology...
Reproducibility Probability Score--incorporating measurement variability across laboratories for gene selectionGuixian Lin
Nat Biotechnol 24:1476-7. 2006
Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profileChen Zhao
The Center for Bioinformatics and The institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
BMC Genomics 12:S3. 2011..Fine-tuning of model parameters and optimizing each step of the modeling process often results in over-fitting problems without improving performance...- Effect of training-sample size and classification difficulty on the accuracy of genomic predictorsVlad Popovici
Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
Breast Cancer Res 12:R5. 2010.... - The genomic features that affect the lengths of 5' untranslated regions in multicellular eukaryotesChun Hsi Chen
Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, 350 Taiwan, Republic of China
BMC Bioinformatics 12:S3. 2011..Furthermore, different selective constraints between vertebrates and invertebrates may lead to differences in the determinants of 5'UTR length, which have not been systematically analyzed... - Microarray scanner calibration curves: characteristics and implicationsLeming Shi
National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, USA
BMC Bioinformatics 6:S11. 2005..Microarray-based measurement of mRNA abundance assumes a linear relationship between the fluorescence intensity and the dye concentration. In reality, however, the calibration curve can be nonlinear... - QA/QC: challenges and pitfalls facing the microarray community and regulatory agenciesLeming Shi
US Food and Drug Administration, Center for Toxicoinformatics, Division of Systems Toxicology, National Center for Toxicological Research, HFT 020, 3900 NCTR Road, Jefferson, AR 72079, USA
Expert Rev Mol Diagn 4:761-77. 2004..These fundamental issues must be adequately addressed before microarray technology can be transformed from a research tool to clinical practices... - Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essentialLeming Shi
National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCRT Road, Jefferson, AR 72079, USA
Curr Opin Biotechnol 19:10-8. 2008..The widespread collaboration aims to assess achievable technical performance of microarrays and capabilities and limitations of methods for microarray data analysis... - The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studiesLeming Shi
National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
BMC Bioinformatics 9:S10. 2008..The resultant variety of existing and emerging methods exacerbates confusion and continuing debate in the microarray community on the appropriate choice of methods for identifying reliable DEG lists... 
Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneysZhenqiang Su
ICF International at FDA s National Center for Toxicological Research, 3900 NCTR Road, Jefferson, Arkansas 72079, USA
Chem Res Toxicol 24:1486-93. 2011..However, there is clearly a need for future investigations to better understand the advantages and limitations of RNA-Seq in toxicogenomics studies and environmental health research...- Gene expression profiles distinguish the carcinogenic effects of aristolochic acid in target (kidney) and non-target (liver) tissues in ratsTao Chen
Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
BMC Bioinformatics 7:S20. 2006..To evaluate whether microarray analysis can be used for distinguishing the tissue-specific carcinogenicity of AA, we examined gene expression profiles in kidney and liver of rats treated with carcinogenic doses of AA... - Development of public toxicogenomics software for microarray data management and analysisWeida Tong
Center for Toxicoinformatics, Division of Biometry and Risk Assessment, NCTR, 3900 NCTR Road, HFT 020, Jefferson, AR 72079, USA
Mutat Res 549:241-53. 2004..ArrayTrack is publicly available online and the prospective user can also request a local installation version by contacting the authors... - Genomic analysis of microRNA time-course expression in liver of mice treated with genotoxic carcinogen N-ethyl-N-nitrosoureaZhiguang Li
Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, FDA, Jefferson, AR 72079, USA
BMC Genomics 11:609. 2010..However, there is little information as to if or when expression changes of miRNAs occur in normal tissues after carcinogen exposure... - ArrayTrack: an FDA and public genomic toolHong Fang
Z Tech Corporation, ICF International Company, Jefferson, AR, USA
Methods Mol Biol 563:379-98. 2009..ArrayTrack is publicly available online ( http://www.fda.gov/nctr/science/centers/toxicoinformatics/ArrayTrack/index.htm ) and the prospective user can also request a local installation version by contacting the authors... - Assessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activityWeida Tong
Center for Toxicoinformatics, National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas 72079, USA
Environ Health Perspect 112:1249-54. 2004.... - Discovery of molecular mechanisms of traditional Chinese medicinal formula Si-Wu-Tang using gene expression microarray and connectivity mapZhining Wen
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, United States of America
PLoS ONE 6:e18278. 2011.... - Self-self hybridization as an alternative experiment design to dye swap for two-color microarraysHong Fang
Division of Bioinformatics, Z Tech Corporation, Jefferson, Arkansas, USA
OMICS 11:14-24. 2007..For example, in larger toxicogenomic studies, only about half the chips are required for the self-self hybridization design compared to that needed in the dye swap design... - Evaluation of gene expression data generated from expired Affymetrix GeneChip® microarrays using MAQC reference RNA samplesZhining Wen
Division of Systems Biology, National Center for Toxicological Research NCTR, US Food and Drug Administration FDA, 3900 NCTR Road, Jefferson, AR 72079, USA
BMC Bioinformatics 11:S10. 2010..Experiments were conducted to answer these questions... - Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studiesHuixiao Hong
Division of Systems Toxicology, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
J Genet 89:55-64. 2010..The effect of the threshold was much larger than the effect of the size. Moreover, the heterozygous calls had lower consistency compared to the homozygous calls... - Next-generation sequencing and its applications in molecular diagnosticsZhenqiang Su
Z Tech, an ICF International Company at US FDA s National Center for Toxicological Research, 3900 NCTR Road, Jefferson, AR 72079, USA
Expert Rev Mol Diagn 11:333-43. 2011..The challenges in the analysis of NGS data and their potential applications in clinical diagnosis are also discussed... - Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II projectMinjun Chen
Center for Bioinformatics, Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas, USA
BMC Bioinformatics 12:S3. 2011..Both the nominated and candidate models from MAQC-II provide benchmarks to assess other methodologies for developing microarray-based predictive models... - Rat toxicogenomic study reveals analytical consistency across microarray platformsLei Guo
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
Nat Biotechnol 24:1162-9. 2006.... - Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samplesHuixiao Hong
Division of Systems Toxicology, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
BMC Bioinformatics 9:S17. 2008..In this paper, we analyzed both the batch size and batch composition for effects on the genotype calling algorithm BRLMM using raw data of 270 HapMap samples analyzed with the Affymetrix Human Mapping 500 K array set... - Very Important Pool (VIP) genes--an application for microarray-based molecular signaturesZhenqiang Su
Center for Toxicoinformatics, National Center for Toxicological Research NCTR, U, S, Food and Drug Administration FDA, 3900 NCTR Road, Jefferson, AR 72079, USA
BMC Bioinformatics 9:S9. 2008..However, improving the ability to identify differentiating genes remains a challenge in bioinformatics... - Mold(2), molecular descriptors from 2D structures for chemoinformatics and toxicoinformaticsHuixiao Hong
Center for Toxicoinformatics, Division of Systems Toxicology, National Center for Toxicological Research, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas 72079, USA
J Chem Inf Model 48:1337-44. 2008..High reproducibility and reliability are expected because Mold (2) does not require 3D structures. Mold (2) is freely available to the public ( http://www.fda.gov/nctr/science/centers/toxicoinformatics/index.htm)... - The accurate prediction of protein family from amino acid sequence by measuring features of sequence fragmentsHuixiao Hong
Division of Systems Toxicology, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas 72079, USA
J Comput Biol 16:1671-88. 2009..9941 was achieved. This study demonstrates that SVM based methods can accurately recognize and predict the protein family to which a sequence belongs based solely on its primary amino acid sequence... - The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive modelsLeming Shi
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
Nat Biotechnol 28:827-38. 2010..The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis... - Correlation analysis of external RNA controls reveals its utility for assessment of microarray assayXiaohui Fan
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR 72079, USA
Anal Biochem 385:203-7. 2009..The proposed approach is sensitive to identifying outlying assays and is not dependent on the choice of normalization method... - Analysis of gene expression changes in relation to toxicity and tumorigenesis in the livers of Big Blue transgenic rats fed comfrey (Symphytum officinale)Nan Mei
Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, FDA, Jefferson, AR 72079, USA
BMC Bioinformatics 7:S16. 2006..Our previous study suggested that comfrey induces liver tumors by a genotoxic mechanism and that the pyrrolizidine alkaloids in the plant are responsible for mutation induction and tumor initiation in rat liver... - Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor alpha agonistsLei Guo
Division of Systems Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR 72079, USA
BMC Bioinformatics 7:S18. 2006..The activation of PPARalpha leads to a cascade of events that result in the pharmacological (hypolipidemic) and adverse (carcinogenic) effects in rodent liver... - ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological ResearchWeida Tong
Center for Toxicoinformatics, Division of Biometry and Risk Assessment, National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
Environ Health Perspect 111:1819-26. 2003..Using ArrayTrack, we can select an analysis method from the TOOL and apply the method to selected microarray data stored in the MicroarrayDB; the analysis results can be linked directly to gene information in the LIB... - Multiclass Decision Forest--a novel pattern recognition method for multiclass classification in microarray data analysisHuixiao Hong
Bioinformatics Laboratory, National Center for Toxicological Research, FDA, Jefferson, Arkansas 72079, USA
DNA Cell Biol 23:685-94. 2004..The results demonstrated that the multiclass DF is an effective classification method for analysis of gene expression data for the purpose of molecular diagnostics... - Evaluation of external RNA controls for the assessment of microarray performanceWeida Tong
National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas 72079, USA
Nat Biotechnol 24:1132-9. 2006..This multiplatform investigation of the behavior and utility of ERCs provides a basis for articulating specific recommendations for their future use in evaluating assay performance across multiple platforms... - Similarities and differences in the expression of drug-metabolizing enzymes between human hepatic cell lines and primary human hepatocytesLei Guo
Division of Biochemical Toxicology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR 72079, USA
Drug Metab Dispos 39:528-38. 2011.... - The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsLeming Shi
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
Nat Biotechnol 24:1151-61. 2006..This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings... - Cytotoxicity and inhibitory effects of low-concentration triclosan on adipogenic differentiation of human mesenchymal stem cellsLi Wu Guo
Division of Personalized Nutrition and Medicine, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR 72079, USA
Toxicol Appl Pharmacol 262:117-23. 2012..Our study demonstrates that TCS inhibits adipocyte differentiation of hMSCs under concentrations that are not cytotoxic and in the range observed in human blood... - Technical reproducibility of genotyping SNP arrays used in genome-wide association studiesHuixiao Hong
Center of Excellence for Bioinformatics, Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arizona, United States of America
PLoS ONE 7:e44483. 2012..e. the odds ratio) and the minor allele frequencies are low... - Improvement in the reproducibility and accuracy of DNA microarray quantification by optimizing hybridization conditionsTao Han
Center for Functional Genomics, National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
BMC Bioinformatics 7:S17. 2006..A successful microarray experiment, however, involves many steps: well-designed oligonucleotide probes, printing, RNA extraction and labeling, hybridization, and imaging. Optimization is essential to generate reliable microarray data... - Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) projectTucker A Patterson
National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas 72079, USA
Nat Biotechnol 24:1140-50. 2006.... - Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS)Huixiao Hong
Division of Bioinformatics, Z tech at FDA s National Center for Toxicological Research, Jefferson, Arkansas 72079, USA
BMC Bioinformatics 6:S5. 2005..The use of SELDI data for biomarker identification requires application of rigorous procedures to detect and discard low quality spectra prior to data analysis... - Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicineHuixiao Hong
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
Sci China Life Sci 56:110-8. 2013..We review some key bioinformatics tasks, issues, and challenges in contexts of IT requirements, data quality, analysis tools and pipelines, and validation of biomarkers... - Microarray platform consistency is revealed by biologically functional analysis of gene expression profilesZhiguang Li
Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, U, S, Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas 72079, USA
BMC Bioinformatics 10:S12. 2009..In this study, we investigated whether different platforms had a high consistency from the biologically functional perspective... - Using decision forest to classify prostate cancer samples on the basis of SELDI-TOF MS data: assessing chance correlation and prediction confidenceWeida Tong
Center for Toxicoinformatics, Division of Biometry and Risk Assessment, National Center for Toxicological Research FDA, 3900 NCTR Road, HFT020, Jefferson, AK 72079, USA
Environ Health Perspect 112:1622-7. 2004..DF should be equally applicable to other omics data such as gene expression data or metabolomic data. The DF algorithm is available upon request... - Phytoestrogens and mycoestrogens bind to the rat uterine estrogen receptorWilliam S Branham
Division of Genetic and Reproductive Toxicology, Jefferson Laboratories, National Center for Toxicological Research, Jefferson, AR 72079, USA
J Nutr 132:658-64. 2002..00008; E(2) = 100). These data can be utilized before animal testing to rank order estimates of the potential for in vivo estrogenic activity of a wide range of untested plant chemicals (as well as other chemicals) based on ER binding... - QA/QC issues to aid regulatory acceptance of microarray gene expression dataJames C Fuscoe
Center for Functional Genomics, Division of Systems Toxicology, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas 72079, USA
Environ Mol Mutagen 48:349-53. 2007..All data are available free of cost and the reference RNA samples are available for proficiency testing. Thus, current microarray technology appears to provide both reliability and consistency for regulatory submissions... - Differences in hepatotoxicity and gene expression profiles by anti-diabetic PPAR gamma agonists on rat primary hepatocytes and human HepG2 cellsLei Guo
Division of Systems Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR 72079, USA
Mol Divers 10:349-60. 2006..Our work suggests that microarray analysis together with toxicological observations can be used to rank drugs for hepatotoxicity and to evaluate the safety of new compounds... - Molecular biomarkers: a US FDA effortHuixiao Hong
Center for Toxicoinformatics, Division of Systems Toxicology, National Center for Toxicological Research, US FDA 3900 NCTR Road, Jefferson, AR, USA
Biomark Med 4:215-25. 2010..Specific FDA programs and research projects related to molecular biomarkers are also discussed for supporting regulatory review in the future... - Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulationXiaohui Fan
National Center for Toxicological Research NCTR, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, AR 72079, USA
BMC Proc 3:S4. 2009..We conclude that the MAQC recommendation should be considered when reproducibility is an important study objective... - Structure-activity relationship approaches and applicationsWeida Tong
Center for Toxicoinformatics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, USA
Environ Toxicol Chem 22:1680-95. 2003..g., median lethal dose [LD50] dose). The reader is also referred to a companion paper in this issue that discusses quantitative structure-activity relationship (QSAR) methods that have advanced markedly over the past decade... - Studies on abacavir-induced hypersensitivity reaction: a successful example of translation of pharmacogenetics to personalized medicineYongli Guo
Division of Systems Biology, National Center for Toxicological Research, The US Food and Drug Administration, Jefferson, AR, 72079, USA
Sci China Life Sci 56:119-24. 2013..The studies of abacavir-induced HSR and the implementation of the HLA-B*57:01 screening in the clinic represent a successful example of the use of pharmacogenetics for personalized diagnosis and therapy... - Methysticin and 7,8-dihydromethysticin are two major kavalactones in kava extract to induce CYP1A1Yan Li
Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
Toxicol Sci 124:388-99. 2011..The induction of CYP1A1 indicates a potential interaction between kava or kavalactones and CYP1A1-mediated chemical carcinogenesis... - The EDKB: an established knowledge base for endocrine disrupting chemicalsDon Ding
Division of Bioinformatics, Z Tech Corporation, ICF International Company at NCTR FDA, Jefferson, AR 72079, USA
BMC Bioinformatics 11:S5. 2010..This paper demonstrates the utility of EDKB database, an integral part of the EDKB project, for understanding and prioritizing EDs for testing... - Voluntary exploratory data submissions to the US FDA and the EMA: experience and impactFederico M Goodsaid
Genomics Group, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US FDA, Building 51, 10903 New Hampshire Avenue, Silver Spring, Maryland 20903 002, USA
Nat Rev Drug Discov 9:435-45. 2010.... - Classification of cDNA array genes that have a highly significant discriminative power due to their unique distribution in four brain regionsHong Fang
Northrop Grumman Information Technology, Jefferson, Arkansas, USA
DNA Cell Biol 23:661-74. 2004.... - A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics toolsZengjun Xu
Division of Neurotoxicology, National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, USA
BMC Bioinformatics 6:S8. 2005..MPP+ depletes dopamine content and elicits cell death in PC12 cells. However, the mechanism of MPP+-induced neurotoxicity is still unclear... - Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alertsHuixiao Hong
R.O.W. Sciences, Inc, Jefferson, Arkansas 72079, USA
Environ Health Perspect 110:29-36. 2002..The general approach for predicting ER binding reported here may be applied to other receptors and/or reversible binding mechanisms involved in endocrine disruption... - 3D QSAR studies on peroxisome proliferator-activated receptor gamma agonists using CoMFA and CoMSIAChenzhong Liao
Chipscreen Biosciences Ltd, Research Institute of Tsinghua University, Suite C301, P.O. Box 28, 518057 Shenzhen, Guangdong, China
J Mol Model 10:165-77. 2004.... - Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification modelsYongxi Tan
Burns and Allen Research Institute Microarray Core, Cedars-Sinai Medical Center, David Geffen School of Medicine, UCLA, Los Angeles, CA 90048, USA
Comput Biol Chem 28:235-44. 2004.... - Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression dataYongxi Tan
Department of Medicine, Cedars-Sinai Medical Center, David Geffen School of Medicine UCLA, Los Angeles, CA 90048, USA
Nucleic Acids Res 33:56-65. 2005..A fast kernel algorithm was applied to decrease the computation time dramatically. (MATLAB source code is available upon request.)... - The External RNA Controls Consortium: a progress reportShawn C Baker
Illumina, Inc, 9885 Towne Centre Drive, San Diego, California 92121, USA
Nat Methods 2:731-4. 2005..The External RNA Controls Consortium (ERCC) is developing commonly agreed-upon and tested controls for use in expression assays, a true industry-wide standard control... - Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmiumYongxi Tan
Cedars-Sinai Research Institute, Cedars-Sinai Medical Center Los Angeles, CA 90048, USA
Bioinformatics 22:77-87. 2006..Permutation studies were also applied to assess the reliability of the predictive models. AVAILABILITY: Matlab source code is available upon request and DNA microarray data are available at GEO (http://www.ncbi.nlm.nih.gov/geo)... - Evaluation of DNA microarray results with quantitative gene expression platformsRoger D Canales
Applied Biosystems, 850 Lincoln Centre Dr, Foster City, California 94404, USA
Nat Biotechnol 24:1115-22. 2006.... - Using RNA sample titrations to assess microarray platform performance and normalization techniquesRichard Shippy
GE Healthcare, 7700 S River Pkwy, Suite 2603, Tempe, Arizona 85284, USA
Nat Biotechnol 24:1123-31. 2006..In summary, titration samples may be regarded as a valuable tool, not only for assessing microarray platform performance and different analysis methods, but also for determining some underlying biological features of the samples... - Design, synthesis, and evaluation of a new class of noncyclic 1,3-dicarbonyl compounds as PPARalpha selective activatorsZhibin Li
Chipscreen Biosciences, Ltd, Research Institute of Tsinghua University, Suite C301, PO Box 28, Shenzhen 518057, China
Bioorg Med Chem Lett 14:3507-11. 2004..The data strongly support further testing of these lead compounds in other relevant disease animal models to evaluate their potential therapeutic benefits... - Construction of a virtual combinatorial library using SMILES strings to discover potential structure-diverse PPAR modulatorsChenzhong Liao
Chipscreen Biosciences, Ltd Research Institute of Tsinghua University, Suite C301, P O Box 28, Shenzhen, Guangdong 518057, China
Eur J Med Chem 40:632-40. 2005..The method to construct virtual combinatorial library using SMILES strings was further visualized by Visual Basic.net that can facilitate the needs of generating other type virtual combinatorial libraries... - Quantitative structure-activity relationship study of histone deacetylase inhibitorsAihua Xie
Institute of Process Engineering, Chinese Academy of Sciences, P O Box 353, Beijing 100080, China
Curr Med Chem Anticancer Agents 4:273-99. 2004..The QSAR and classification models provided direct guidance to our internal programs of identifying and optimizing HDAC inhibitors. Limitations of the models were also discussed... - Eigenvalue analysis of peroxisome proliferator-activated receptor gamma agonistsChenzhong Liao
Chipscreen Biosciences, Ltd, Research Institute of Tsinghua University, Suite C301, PO Box 28, Shenzhen, Guangdong 518057, China
J Chem Inf Comput Sci 44:230-8. 2004..614 for AM1 and 0.822 for PM3 methods, set a successful example for applying a similar approach in building QSAR models for PPARalpha and -delta that could potentially offer a new opportunity in the design of novel PPAR modulators...