H Fang

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. pmc 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
  2. pmc Quantitative comparisons of in vitro assays for estrogenic activities
    H Fang
    Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research NCTR, Jefferson, Arkansas, USA
    Environ Health Perspect 108:723-9. 2000
  3. pmc Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling
    H Fang
    Division of Bioinformatics, Z Tech Corporation, 3900 NCTR Road, Jefferson, AR 72079, USA
    BMC Bioinformatics 6:S6. 2005
  4. ncbi request reprint QSAR models using a large diverse set of estrogens
    L M Shi
    ROW Sciences Inc, Jefferson, Arkansas 72079, USA
    J Chem Inf Comput Sci 41:186-95. 2001
  5. ncbi request reprint The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands
    R M Blair
    Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, Jefferson, Arkansas 72079, USA
    Toxicol Sci 54:138-53. 2000
  6. ncbi request reprint Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor
    H Hong
    Northrop Grumman Information Technology, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 14:373-88. 2003
  7. ncbi request reprint Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens
    H Fang
    R.O.W. Sciences, Inc, 3900 NCTR Road, MC 910, Jefferson, Arkansas 72079, USA
    Chem Res Toxicol 14:280-94. 2001
  8. ncbi request reprint An in silico ensemble method for lead discovery: decision forest
    H Hong
    Z Tech at National Center for Toxicological Research, U S Food and Drug Administration, Division of Bioinformatics, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 16:339-47. 2005
  9. ncbi request reprint An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinity
    L Shi
    R O W Sciences, Inc, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 13:69-88. 2002
  10. doi request reprint The liver toxicity knowledge base: a systems approach to a complex end point
    M Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Clin Pharmacol Ther 93:409-12. 2013

Detail Information

Publications15

  1. pmc 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...
  2. pmc Quantitative comparisons of in vitro assays for estrogenic activities
    H Fang
    Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research NCTR, Jefferson, Arkansas, USA
    Environ Health Perspect 108:723-9. 2000
    ..The results should provide guidance for expanded data mining examinations and the selection of appropriate assays to screen estrogenic endocrine disruptors...
  3. pmc Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling
    H Fang
    Division of Bioinformatics, Z Tech Corporation, 3900 NCTR Road, Jefferson, AR 72079, USA
    BMC Bioinformatics 6:S6. 2005
    ....
  4. ncbi request reprint QSAR models using a large diverse set of estrogens
    L M Shi
    ROW Sciences Inc, Jefferson, Arkansas 72079, USA
    J Chem Inf Comput Sci 41:186-95. 2001
    ....
  5. ncbi request reprint The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands
    R M Blair
    Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, Jefferson, Arkansas 72079, USA
    Toxicol Sci 54:138-53. 2000
    ..The current study provides the most structurally diverse ER RBA data set with the widest range of RBA values published to date...
  6. ncbi request reprint Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor
    H Hong
    Northrop Grumman Information Technology, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 14:373-88. 2003
    ..637 logRBA. This study demonstrates the utility of this CoMFA model for real-world use in predicting the AR binding affinities of structurally diverse chemicals over a wide RBA range...
  7. ncbi request reprint Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens
    H Fang
    R.O.W. Sciences, Inc, 3900 NCTR Road, MC 910, Jefferson, Arkansas 72079, USA
    Chem Res Toxicol 14:280-94. 2001
    ..A rigid ring structure favors ER binding. The knowledge derived from this study is rationalized into a set of hierarchical rules that will be useful in guidance for identification of potential estrogens...
  8. ncbi request reprint An in silico ensemble method for lead discovery: decision forest
    H Hong
    Z Tech at National Center for Toxicological Research, U S Food and Drug Administration, Division of Bioinformatics, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 16:339-47. 2005
    ..The results show that the decision forest method is a fast, reliable and effective in silico approach, which could be useful in drug discovery...
  9. ncbi request reprint An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinity
    L Shi
    R O W Sciences, Inc, Jefferson, AR 72079, USA
    SAR QSAR Environ Res 13:69-88. 2002
    ..We believe that the same integrated scheme will be equally applicable to endpoints of other endocrine disrupting mechanisms, e.g. androgen receptor binding...
  10. doi request reprint The liver toxicity knowledge base: a systems approach to a complex end point
    M Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Clin Pharmacol Ther 93:409-12. 2013
    ..The project has also produced a centralized resource of data as well as predictive models that will be useful for research and drug regulation...
  11. ncbi request reprint Threshold analysis of selected dose-response data for endocrine active chemicals
    R M Blair
    Division of Genetic and Reproductive Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
    APMIS 109:198-208. 2001
    ..The normalized data demonstrated a good fit to the modified Michaelis-Menten equation. These results indicate that a variety of biological responses fit the modified Michaelis-Menten equation, which does not have a threshold dose term...
  12. pmc Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples
    H Hong
    Division of Systems Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
    Pharmacogenomics J 10:364-74. 2010
    ..Our studies show that inconsistencies between SNP arrays and between genotype calling algorithms are potential sources for the lack of reproducibility in GWAS results...
  13. ncbi request reprint Selective alterations of transcription factors in MPP+-induced neurotoxicity in PC12 cells
    Z Xu
    Neurochemistry Laboratory, Division of Neurotoxicology, HFT 132, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
    Neurotoxicology 26:729-37. 2005
    ..The data indicates that selective transcription factors are involved in MPP(+)-induced neurotoxicity and it provides mechanistic information that may be applicable to animal studies with MPTP and clinical studies of Parkinson's disease...
  14. ncbi request reprint Bioavailability of butachlor and myclobutanil residues in soil to earthworms
    Y L Yu
    Department of Plant Protection, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310029, People s Republic of China
    Chemosphere 59:961-7. 2005
    ..The concentrations of the pesticides accumulated in E. foetida and A. caliginosa varied with species, suggesting that the availability of the soil-sequestered pesticide is a species-dependent process...
  15. ncbi request reprint Patterns of distal-less gene expression and inductive interactions in the head of the direct developing frog Eleutherodactylus coqui
    H Fang
    Department of Zoology, University of Toronto, Ontario, Canada
    Dev Biol 179:160-72. 1996
    ..coqui embryo have been modified during the evolution of direct development, and that changes in the competence of the E. coqui ectoderm may be responsible for the loss of certain tadpole-specific structures, such as cement gland...