All Stories

  1. Navigating through the minefield of read-across frameworks: A commentary perspective
  2. An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential
  3. The CompTox Chemistry Dashboard: a community data resource for environmental chemistry
  4. A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols
  5. An adverse outcome pathway for respiratory sensitization by chemicals: The way forward?
  6. Navigating through the minefield of read-across tools: A review of in silico tools for grouping
  7. Non-animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated?
  8. Can currently available non-animal methods detect pre and pro-haptens relevant for skin sensitization?
  9. Is skin penetration a determining factor in skin sensitization potential and potency? Refuting the notion of a LogKow threshold for skin sensitization
  10. What determines skin sensitization potency: Myths, maybes and realities. The 500 molecular weight cut-off: An updated analysis
  11. Current and Future Perspectives on the Development, Evaluation, and Application ofin SilicoApproaches for Predicting Toxicity
  12. Integrated Approaches to Testing and Assessment
  13. Validation of Computational Methods
  14. The adverse outcome pathway for rodent liver tumor promotion by sustained activation of the aryl hydrocarbon receptor
  15. Building scientific confidence in the development and evaluation of read-across
  16. A feasibility study: Can information collected to classify for mutagenicity be informative in predicting carcinogenicity?
  17. Proposing a scientific confidence framework to help support the application of adverse outcome pathways for regulatory purposes
  18. An exposure:activity profiling method for interpreting high-throughput screening data for estrogenic activity—Proof of concept
  19. AOPs and IATAs
  20. Towards AOP application – Implementation of an integrated approach to testing and assessment (IATA) into a pipeline tool for skin sensitization
  21. Developing scientific confidence in HTS-derived prediction models: Lessons learned from an endocrine case study
  22. TIMES-SS – Recent refinements resulting from an industrial skin sensitisation consortium
  23. The challenge of using read-across within the EU REACH regulatory framework; how much uncertainty is too much? Dipropylene glycol methyl ether acetate, an exemplary case study
  24. A Mechanistic Approach to Modeling Respiratory Sensitization
  25. EN
  26. Integrated testing and assessment approaches for skin sensitization: a commentary
  27. Use of category approaches, read-across and (Q)SAR: General considerations
  28. Workshop: Use of “read-across” for chemical safety assessment under REACH
  29. Use and validation of HT/HC assays to support 21st century toxicity evaluations
  30. A step change towards risk assessment in the 21st century
  31. Investigating the Relationship between in Vitro–in Vivo Genotoxicity: Derivation of Mechanistic QSAR Models for in Vivo Liver Genotoxicity and in Vivo Bone Marrow Micronucleus Formation Which Encompass Metabolism
  32. Chemistry-Based Risk Assessment for Skin Sensitization: Quantitative Mechanistic Modeling for the SNAr Domain
  33. Network Topological Indices from Chem-Bioinformatics to Legal Sciences and back
  34. Non-testing approaches under REACH – help or hindrance? Perspectives from a practitioner within industry
  35. Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks
  36. Use of Genotoxicity Information in the Development of Integrated Testing Strategies (ITS) for Skin Sensitization
  37. Can mutagenicity information be useful in an Integrated Testing Strategy (ITS) for skin sensitization?
  38. Predicting Drugs and Proteins in Parasite Infections with Topological Indices of Complex Networks: Theoretical Backgrounds, Applications and Legal Issues
  39. Updating the Skin Sensitizationin VitroData Assessment Paradigm in 2009 - a chemistry and QSAR perspective
  40. Chemistry Based Nonanimal Predictive Modeling for Skin Sensitization
  41. Current Topics on Software Use in Medicinal Chemistry: Intellectual Property, Taxes, and Regulatory Issues
  42. Toxmatch—A chemical classification and activity prediction tool based on similarity measures
  43. Nonanimal Alternatives for Skin Sensitization: Letter to the Editor
  44. An evaluation of the implementation of the Cramer classification scheme in the Toxtree software
  45. A feasibility study developing an integrated testing strategy assessing skin irritation potential of chemicals
  46. FS04.3
Hair dyes, prediction of sensitization potential with QSAR
  47. P38
Quantitative structure activity relationships for fragrance aldehydes
  48. P79
A chemical dataset for evaluation of alternative approaches to skin sensitization testing
  49. ChemInform Abstract: A Minireview of Available Skin Sensitization (Q)SARs/Expert Sytems
  50. ChemInform Abstract: A Review of (Q)SAR Models for Skin and Eye Irritation and Corrosion
  51. Skin, drug and chemical reactions
  52. Toxmatch–a new software tool to aid in the development and evaluation of chemically similar groups
  53. A Comparison of Reactivity Schemes for the Prediction Skin Sensitization Potential
  54. Chemical reactivity indices and mechanism-based read-across for non-animal based assessment of skin sensitisation potential
  55. A Minireview of Available Skin Sensitization (Q)SARs/Expert Systems
  56. The reduced local lymph node assay: the impact of group size
  57. A Review of (Q)SAR Models for Skin and Eye Irritation and Corrosion
  58. TIMES-SS—A Mechanistic Evaluation of an External Validation Study Using Reaction Chemistry Principles
  59. TIMES-SS—A promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity
  60. Mechanistic Applicability Domain Classification of a Local Lymph Node Assay Dataset for Skin Sensitization
  61. An evaluation of selected global (Q)SARs/expert systems for the prediction of skin sensitisation potential
  62. Global (Q)SARs for skin sensitisation–assessment against OECD principles‖
  63. Evaluation of SARs for the prediction of skin irritation/corrosion potential–structural inclusion rules in the BfR decision support system†
  64. Electrophilic Chemistry Related to Skin Sensitization. Reaction Mechanistic Applicability Domain Classification for a Published Data Set of 106 Chemicals Tested in the Mouse Local Lymph Node Assay
  65. Intelligent Testing Strategies
  66. The role of the European Chemicals Bureau in promoting the regulatory use of (Q)SAR methods†
  67. Predicting Toxicological and Ecotoxicological Endpoints
  68. Structure?activity relationships for skin sensitization: recent improvements to Derek for Windows
  69. Mechanistic Applicability Domains for Non-Animal Based Prediction of Toxicological Endpoints. QSAR Analysis of the Schiff Base Applicability Domain for Skin Sensitization
  70. Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study
  71. Computational Methods to Predict Drug Safety
  72. The local lymph node assay and skin sensitization: a cut-down screen to reduce animal requirements?
  73. Non-enzymatic glutathione reactivity and in vitro toxicity: A non-animal approach to skin sensitization
  74. Compilation of Historical Local Lymph Node Data for Evaluation of Skin Sensitization Alternative Methods
  75. A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models.
  76. Skin Sensitization:  Reaction Mechanistic Applicability Domains for Structure−Activity Relationships
  77. Skin Sensitization: Modeling Based on Skin Metabolism Simulation and Formation of Protein Conjugates
  78. A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models
  79. Compilation of Historical Local Lymph Node Data for Evaluation of Skin Sensitization Alternative Methods
  80. Ranking of hair dye substances according to predicted sensitization potency: quantitative structure-activity relationships
  81. From Knowledge Generation to Knowledge Archive. A General Strategy Using TOPS-MODE with DEREK to Formulate New Alerts for Skin Sensitization.
  82. A chemical dataset for evaluation of alternative approaches to skin-sensitization testing
  83. From Knowledge Generation to Knowledge Archive. A General Strategy Using TOPS-MODE with DEREK To Formulate New Alerts for Skin Sensitization
  84. Further evaluation of quantitative structure-activity relationship models for the prediction of the skin sensitization potency of selected fragrance allergens
  85. Creating molecular diversity from antioxidants in Brazilian propolis. Combination of TOPS-MODE QSAR and virtual structure generation
  86. Computer-Aided Knowledge Generation for Understanding Skin Sensitization Mechanisms: The TOPS-MODE Approach
  87. QSARs for the skin sensitization potential of aldehydes and related compounds
  88. Contact allergy: the role of skin chemistry and metabolism
  89. Contact allergy: the local lymph node assay for the prediction of hazard and risk
  90. QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR PREDICTING SKIN AND RESPIRATORY SENSITIZATION
  91. QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR PREDICTING SKIN AND EYE IRRITATION
  92. QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR PREDICTING PERCUTANEOUS ABSORPTION RATES
  93. QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR PREDICTING MUTAGENICITY AND CARCINOGENICITY
  94. Structure-activity relationships for selected fragrance allergens
  95. Investigation of the skin sensitizing activity of linalool
  96. Mechanism based structure-activity relationships for skin sensitisation--the carbonyl group domain
  97. Skin-sensitization structure-activity relationships for aldehydes
  98. A QSAR model for the eye irritation of cationic surfactants