All Stories

  1. Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data
  2. Empirical models for anatomical and physiological changes in a human mother and fetus during pregnancy and gestation
  3. Predicting estrogen receptor activation by a group of substituted phenols: An Integrated Approach to testing and assessment case study
  4. Estimating Uncertainty in the Context of New Approach Methodologies for Potential Use in Chemical Safety Evaluation
  5. Empirical Models for Anatomical and Physiological Changes in a Human Mother and Fetus During Pregnancy and Gestation
  6. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls
  7. DEVELOPMENT OF A CURATED HERSHBERGER DATABASE
  8. Evaluation of androgen assay results using a curated Hershberger database
  9. A Mechanistic Framework for Integrating Chemical Structure and High-Throughput Screening Results to Improve Toxicity Predictions
  10. Uncertainty quantification in ToxCast high throughput screening
  11. High-Throughput H295R Steroidogenesis Assay: Utility as an Alternative and a Statistical Approach to Characterize Effects on Steroidogenesis
  12. On selecting a minimal set of in vitro assays to reliably determine estrogen agonist activity
  13. Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information
  14. Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model
  15. Predicting Hepatotoxicity Using ToxCastin VitroBioactivity and Chemical Structure
  16. Exploring consumer exposure pathways and patterns of use for chemicals in the environment
  17. Rapid, automated approach to estimate human exposure to over 8,000 environmental chemicals
  18. Predictive Endocrine Testing in the 21st Century Using in Vitro Assays of Estrogen Receptor Signaling Responses
  19. Profiling of the Tox21 10K compound library for agonists and antagonists of the estrogen receptor alpha signaling pathway
  20. Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms
  21. In Vitroand Modelling Approaches to Risk Assessment from the U.S. Environmental Protection Agency ToxCast Programme
  22. Development of a consumer product ingredient database for chemical exposure screening and prioritization
  23. Erratum
  24. Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure–Activity Relationship and Machine Learning Methods
  25. Dosimetric Anchoring of In Vivo and In Vitro Studies for Perfluorooctanoate and Perfluorooctanesulfonate
  26. EADB: An Estrogenic Activity Database for Assessing Potential Endocrine Activity
  27. Real-Time Growth Kinetics Measuring Hormone Mimicry for ToxCast Chemicals in T-47D Human Ductal Carcinoma Cells
  28. High-Throughput Models for Exposure-Based Chemical Prioritization in the ExpoCast Project
  29. Profiling 976 ToxCast Chemicals across 331 Enzymatic and Receptor Signaling Assays
  30. ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling
  31. Relative Impact of Incorporating Pharmacokinetics on Predicting In Vivo Hazard and Mode of Action from High-Throughput In Vitro Toxicity Assays
  32. ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence
  33. Incorporating exposure information into the toxicological prioritization index decision support framework
  34. Using in Vitro High Throughput Screening Assays to Identify Potential Endocrine-Disrupting Chemicals
  35. In Vitro Perturbations of Targets in Cancer Hallmark Processes Predict Rodent Chemical Carcinogenesis
  36. Incorporating Biological, Chemical, and Toxicological Knowledge Into Predictive Models of Toxicity
  37. Update on EPA’s ToxCast Program: Providing High Throughput Decision Support Tools for Chemical Risk Management
  38. Response to "Accurate Risk-Based Chemical Screening * Relies on Robust Exposure Estimates"
  39. Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System
  40. Economic benefits of using adaptive predictive models of reproductive toxicity in the context of a tiered testing program
  41. The exposure data landscape for manufactured chemicals
  42. Using pathway modules as targets for assay development in xenobiotic screening
  43. Modeling In Vitro Cell-Based Assays Experiments
  44. Integration of Dosimetry, Exposure, and High-Throughput Screening Data in Chemical Toxicity Assessment
  45. Predictive Models of Prenatal Developmental Toxicity from ToxCast High-Throughput Screening Data
  46. Environmental Impact on Vascular Development Predicted by High-Throughput Screening
  47. Evaluation of 309 Environmental Chemicals Using a Mouse Embryonic Stem Cell Adherent Cell Differentiation and Cytotoxicity Assay
  48. Predictive Model of Rat Reproductive Toxicity from ToxCast High Throughput Screening
  49. Chemical Genomics Profiling of Environmental Chemical Modulation of Human Nuclear Receptors
  50. Estimating Toxicity-Related Biological Pathway Altering Doses for High-Throughput Chemical Risk Assessment
  51. Activity profiles of 309 ToxCast™ chemicals evaluated across 292 biochemical targets
  52. Using Nuclear Receptor Activity to Stratify Hepatocarcinogens
  53. Endocrine Profiling and Prioritization of Environmental Chemicals Using ToxCast Data
  54. A Novel Framework for Predicting In Vivo Toxicities from In Vitro Data Using Optimal Methods for Dense and Sparse Matrix Reordering and Logistic Regression
  55. Analysis of Eight Oil Spill Dispersants Using Rapid, In Vitro Tests for Endocrine and Other Biological Activity
  56. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
  57. Incorporating Human Dosimetry and Exposure into High-Throughput In Vitro Toxicity Screening
  58. Xenobiotic-Metabolizing Enzyme and Transporter Gene Expression in Primary Cultures of Human Hepatocytes Modulated by Toxcast Chemicals
  59. Public Databases Supporting Computational Toxicology
  60. Impact of Environmental Chemicals on Key Transcription Regulators and Correlation to Toxicity End Points within EPA’s ToxCast Program
  61. In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project
  62. Evaluation of high-throughput genotoxicity assays used in profiling the US EPA ToxCast™ chemicals
  63. Profiling the activity of environmental chemicals in prenatal developmental toxicity studies using the U.S. EPA's ToxRefDB
  64. Profiling the Reproductive Toxicity of Chemicals from Multigeneration Studies in the Toxicity Reference Database
  65. The Toxicity Data Landscape for Environmental Chemicals
  66. ACToR — Aggregated Computational Toxicology Resource
  67. Profiling Chemicals Based on Chronic Toxicity Results from the U.S. EPA ToxRef Database
  68. Bayesian Meta-Analysis of Genetic Association Studies with Different Sets of Markers
  69. Toxicity Data Informatics: Supporting a New Paradigm for Toxicity Prediction
  70. A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
  71. Computational Toxicology--A State of the Science Mini Review
  72. Allelic dropout in long QT syndrome genetic testing: A possible mechanism underlying false-negative results
  73. Restoring value to stalled Phase II compounds: the case for developing a novel compound for depression using pharmacogenetics
  74. New and confirmatory evidence of an association between APOE genotype and baseline C-reactive protein in dyslipidemic individuals
  75. Spectrum and prevalence of cardiac sodium channel variants among black, white, Asian, and Hispanic individuals: Implications for arrhythmogenic susceptibility and Brugada/long QT syndrome genetic testing
  76. Genome-wide evaluation of the public SNP databases
  77. Using Multiple Drug Exposure Levels to Optimize Power in Pharmacogenetic Trials
  78. Haplotypes of the cholesteryl ester transfer protein gene predict lipid-modifying response to statin therapy
  79. How many SNPs does a genome-wide haplotype map require?
  80. Haplotype Variation and Linkage Disequilibrium in 313 Human Genes
  81. Notes from the SNP vs. haplotype front
  82. A large-scale experiment to assess protein structure prediction methods
  83. A genetic algorithm based method for docking flexible molecules
  84. Teaching lasers to control molecules
  85. Inelastic probabilities above the three-body breakup threshold via a projection operator formalism
  86. Reactive scattering using a mixed quantum-classical paradigm
  87. Total integral reactive cross sections for F + H2 → HF + H: comparison of converged quantum, quasiclassical trajectory and experimental results
  88. The application of time-dependent wavepacket methods to reactive scattering
  89. Time-dependent wave-packet method for the complete determination of S -matrix elements for reactive molecular collisions in three dimensions
  90. Time-dependent (wavepacket) quantum approach to reactive scattering: Vibrationally resolved reaction probabilities for F+H2→HF+H
  91. Optimal design of external fields for controlling molecular motion: application to rotation
  92. Pharmacogenomics in Drug Development and Clinical Research
  93. Pharmacogenomics in Drug Development