Sarah Nexus
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Related Publications
- ICH M7 Expert Review Workshop: Resolving common prediction scenarios using automated arguments in Nexus 2.3 (Webinar Presentation Slides)
- The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7
- Are all nitrosamines concerning? A review of mutagenicity and carcinogenicity data
- Management of pharmaceutical ICH M7 (Q)SAR predictions – The impact of model updates
- How Sarah Nexus Predicts
- A practical application of two in silico systems for identification of potentially mutagenic impurities
- Introduction to in silico toxicology
- Nexus 2 - Improved functionality to assist in ICH M7 submission
- Mutagenic Impurities: Precompetitive/Competitive Collaborative and Data Sharing Initiatives
- Evaluation Of A Statistics-based Ames Mutagenicity QSAR Model And Interpretation Of The Results Obtained
- Benchmarking Assessment of Salmonella Mutagenicity QSAR Models for Potential Use Under ICH M7.pdf
- Undertaking Expert Review under ICH M7 - A Practical Guide
- Mutagenic impurities: predicting alerting structures using in silico tools
- Evaluation Of The Statistics-Based Ames Mutagenicity Model Sarah Nexus And Interpretation Of The Results Obtained
- Mutagenicity Prediction Using In Silico Methods: Gigabyte-Sized Petri Dishes
- 3-Fluoro-4-Phenylaniline - Positive - Positive
- Methyl Sulfate - Negative - Equivocal
- Phenyltrifluoroborate - Positive - Out Of Domain
- Tolfenamic Acid - Negative - Negative
- N-Propyl Triazoline - Positive - Negative
- An Automated Classification Workflow to Assist Expert Assessment and Regulatory Submission for ICH M7
- Carbamates, QSAR predictions and ICH M7 classification; making use of expert knowledge
- Are these alerting structures an appropriate aid in the expert analysis of two complementary QSAR predictions?
- A k-Nearest Neighbours Approach Using Metabolism-related Fingerprints to Improve In Silico Metabolite Ranking
- Confidence and Accuracy in Sarah Nexus
- Distinguishing between expert and statistical systems for application under ICH M7
- (Q)SAR tools for priority setting: A case study with printed paper and board food contact material substances
- A comparison of Derek and Sarah Nexus
- 46th ICGM Product Manager Update
- Expert review of the mutagenicity of carbamates - using (Q)SAR predictions for ICH M7 classification
- Regulatory Submission Under ICH M7 - Application of Expert Review
- In Silico Strategies to Assess Potentially Mutagenic Impurities Under ICH M7
- Sarah Confidence and Model Building - The How, What and Why
- ICH M7 Classification Workflow
- Carbamates and ICH M7 classification: Making use of expert knowledge
- Computational Systems Pharmacology and Toxicology - Tools for Green Molecular Design to Reduce Toxicological Risk
- Japanese ICH M7 Examples
- Utility of Published DNA reactivity alerts
- Using Sarah Nexus Effectively: Intuitive Model Building and Interpreting Confidence
- Manual and Computational Methods for the Evaluation of Statistical Predictions Based on Expert Analysis
- Applicability of in silico genotoxicity models on food and feed ingredients
- What would you do? 47th and 48th ICGMs
- Manual and Computational Methods for the Evaluation of Statistical Predictions Based on Expert Analysis
- Sarah Nexus: The Statistical System for ICH M7
- Dealing with Out of Domain (Q)SAR Predictions for ICH M7: A Regulatory and Industrial Perspective
- Lhasa Knowledge Suite Nexus 2.2 Release Notes
- Lhasa Knowledge Suite Nexus 2.2 Installation Guide
- Sarah Nexus Brochure
- Nexus 2.2: An Overview of Key New Features - Sarah Nexus
- Strain profiles: Moving beyond binary Ames classification
- Sarah Nexus Strain Information
- Leveraging Strain Information In Sarah Nexus Predictions
- Using New Features to Further Interrogate Sarah Nexus Predictions
- Improving Chemical Space Coverage of an In Silico Prediction System by Targeted Inclusion of Fragments Absent from the Training Set
- Strain Profiles: Moving Beyond Binary Ames Classification - A Summary
- ICH M7 Use Cases
- Mutagenicity Predictions using a Statistical System
- Interpreting the Sensitivity and Equivocal Settings in Sarah Nexus
- Meeting report, ICH M7 relevant workshop: use of (Q)SAR systems and expert judgment
- Development Of A Network Of Adverse Outcome Pathways (AOPs) For Carcinogenicity
- In Silico Predictions For Genotoxicity
- Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project
- An adverse outcome pathway framework to support developmental and reproductive toxicity risk assessments
- Welcome and Introduction to ICH M7 - ICH M7 India Roadshows
- Sarah Nexus: The Statistical System for ICH M7 - ICH M7 India Roadshows
- Derek Nexus, Sarah Nexus and Vitic: How they fit into ICH M7 - ICH M7 India Roadshows
- Important considerations for the validation of QSAR models for in vitro mutagenicity
- Advance your knowledge of ICH M7 A virtual expert review workshop
- Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting
- Product Update ICGM Presentation
- ICH M7 Perception: Unifying Knowledge from Predictions to Purging
- The Liability Load and how Lhasa Limited Focuses on Reducing it
- Improving In Silico Predictions in Developmental and Reproductive Toxicology
- A Case Study in Predicting hERG Activity.
- A Suggested ICH M7 Framework Using Lhasa Limited Products
- Introduction to Lhasa - Applying ICH M7 - What makes an expert
- Modelling Simple Toxicity Endpoints: Alerts, (Q)SARs and Beyond
- Use of In Silico Tools for Toxicity Prediction Within ICH M7
- In silico prediction of Mutagenicity
- Managing Mutagenic Impurity Risks in Pharmaceutical Products
- (Q)SAR Evaluation of Drug Impurities from the US FDA Scientific Perspective
- ICH M7 - Risk assessment for mutagenic impurities and control strategies
- Toxicity Evaluation of Degradation Products
- RDC53: Challenges on impurities qualification
- Save Time and Money with Lhasa Limited
- Toxicity Studies for Degradation Impurities - An Industry Perspective
- Predictive Toxicology: Using In Silico Systems
- Important Considerations When Building Statistical-based Mutagenicity Models.pdf
- Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge
- ICH M7 Brochure
- Establishing best practise in the application of expert review of mutagenicity under ICH M7
- Mutagenicity assessment strategy for pharmaceutical intermediates to aid limit setting for occupational exposure
- Predictions, Data and ICH M7 - 2020 ICH M7 India Roadshows
- ICH M7 Workshop - 2020 ICH M7 India Roadshows
- Lhasa and the ICH M7 Guideline - 2020 ICH M7 India Roadshow
- GSK MI risk assessment process Camicinal at al - 2020 ICH M7 India Roadshow
- Hazard Assessment of Potentially Mutagenic Impurities - 2020 ICH M7 India Roadshows
- ICH M7 - Regulatory Updates and Industry Practices - 2020 ICH M7 India Roadshows
- Lhasa Expert Review Developments - 2020 ICH M7 India Roadshows
- 49th ICGM Product Manager Update
- In silico workflow under ICH M7
- The application of in silico models to support decision making in toxicology
- Product Update 2019
- Lhasa Knowledge Suite Nexus 2.3 Release Notes
- Sarah Nexus Mutagenicity QMRF.pdf
- An Overview of Lhasa Limited Collaborative Data Sharing Initiatives
- ICH M7 Workshop Japanese ICGM 2019
- Do all nitrosamines pose a significant level of genotoxic risk? (Webinar Presentation Slides)
