Cosmetic
Related Publications
- A practical application of two in silico systems for identification of potentially mutagenic impurities
- Addressing toxicity risk when designing and selecting compounds in early drug discovery
- An evaluation of in-house and off-the-shelf in silico models: Implications on guidance for mutagenicity assessment
- An Expert System To Predict the Forced Degradation of Organic Molecules
- An in Silico Method for Predicting Ames Activities of Primary Aromatic Amines
- Assessing Confidence in Predictions.wmv
- Biotransformation Pathways of Biocides and Pharmaceuticals in Freshwater Crustaceans
- Developing Structure-Activity Relationships for the Prediction of Hepatotoxicity
- Expert Systems - The Use of Expert Systems in Drug Design-Toxicity and Metabolism
- Food for thought - A toxicology ontology roadmap
- Prediction of genotoxic potential of cosmetic ingredients by an in silico battery system consisting of a combination of an expert rule-based system and a statistics-based system
- It’s difficult, but important, to make negative predictions
- Benchmarking Assessment of Salmonella Mutagenicity QSAR Models for Potential Use Under ICH M7.pdf
- Why data sharing is important - a case study using proprietary mutagenicity and skin sensitisation data.pdf
- Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico/in vitro assays
- Practical Implementation of (Q)SAR and Expert Review for Compliance with ICH M7 Guidelines
- Predicting the Purging of Impurities within an API Synthetic Pathway
- Using Derek Nexus as part of a skin sensitisation integrated testing strategy (ITS)
- Using Derek Nexus to assess the safety of raw materials used in cosmetics
- Summation of Toxicity Data in Vitic
- Skin sensitisation: Now and the Future
- Skin Sensitisation - Negative Predictions, Validations and Integrated Testing Strategies
- Assessing confidence in predictions made by knowledge-based systems
- How important is expert review when measuring EC3 predictions in Derek Nexus?: Alkyl halides - a case study
- Utilization Of Derek Nexus Dermal Sensitization Predictions For Hazard Assessment At Bristol-Myers Squibb
- Performance of Derek Nexus’ In Silico EC3 Model for Predicting Dermal Sensitization Potency
- Workbook: Expert Review of EC3 Predictions - a workshop
- Phosphite esters: a novel class of contact allergen
- Nothing to report? An in silico fragmentation methodology for making explicit negative predictions of skin sensitisation
- Extrapolation of in vitro mutagenicity alerts to the in vivo endpoint in Derek Nexus
- Getting under the skin of an in silico approach to predicting dermal sensitisation
- Alternatives to in vivo testing for plant protection products
- Integrated hazard identification of chemical sensitizers using in vitro and in silico readouts - A comparative evaluation of predictive performance
- Negative Predictions for Skin Sensitisation 47th ICGM
- In silico prediction of the skin sensitisation potential of non-quinonoid Michael acceptors: new reactivity assessments and evidence based precursor selection
- Sarah Nexus: The Statistical System for ICH M7
- Negative Predictions for Skin Sensitisation
- Expert Review of EC3 Predictions
- Expert Review of In Silico Predictions for Skin Sensitization Potency
- Nexus 2.2: An Overview of Key New Features - Sarah Nexus
- Nexus 2.2: An Overview of Key New Features - Derek and Meteor Nexus
- EC3: Methodology Explained
- A Defined Approach to Skin Sensitization Using Derek Nexus and Non-Animal Assays
- Addressing the Challenge of Making Negative Predictions for Skin Sensitisation
- Derek Nexus and the Prediction of Human Skin Sensitisation Potential: An Evaluation
- Skin sensitisation - What place does in silico have within a defined approach?
- An Overview of Recent Skin Sensitisation Work at Lhasa
- A Defined Approach to Skin Sensitisation: Integrating Derek Nexus with In Chemico/In Vitro Assays - A Summary
- Derek Nexus and the Prediction of Human Skin Sensitisation Potential - A Summary
- Addressing the Challenge of Making Negative Predictions for Skin Sensitisation - A Summary
- Making reliable negative predictions of human skin sensitisation using an in silico fragmentation approach
- Vitic - A Faster, More Efficient Searching Experience
- A Defined Approach to Skin Sensitisation: Integrating Derek Nexus with In Chemico/In Vitro Assays Based on Exclusion Criteria
- Webinar - A defined approach for predicting skin sensitisation hazard and potency.
- A Defined Approach for Predicting Skin Sensitisation Hazard and Potency
- Enhancing the ICH M7 Workflow through Setaria
- Skin Sensitisation Brochure
- The Liability Load and how Lhasa Limited Focuses on Reducing it
- How To - Filtering Mass Defect
- Improving In Silico Predictions in Developmental and Reproductive Toxicology
- The interchangeability of in vitro key event-based skin sensitisation assays - impact on defined approaches
- Zeneth: an in silico tool to aid identification of degradants
- Current advances in skin sensitization in silico predictions and their use in a defined approach
- Approaches to Skin Sensitisation Prediction
- Mutagenicity assessment strategy for pharmaceutical intermediates to aid limit setting for occupational exposure
- Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico/in vitro assays
- Updated Dermal Sensitisation Thresholds derived using an in silico expert system and an expanded Local Lymph Node Assay dataset
- Who is using Vitic? Infographic
- Vitic Data Sharing Benefits
- An Overview of Lhasa Limited Collaborative Data Sharing Initiatives
- A defined approach for predicting skin sensitisation hazard and potency based on the guided integration of in silico, in chemico and in vitro data using exclusion criteria
- Improvements to in silico predictivity after access to proprietary data
- A quantitative in silico model for predicting skin sensitization using a nearest neighbours approach within expert-derived structure–activity alert spaces
- Quantitative prediction of skin sensitisation potency based on structural alert spaces
- Evaluation of the Global Performance of Eight In Silico Skin Sensitization Models Using Human Data
