Sarah Nexus
Related Publications
- 2012 virtual ICGM 8 Sarah.pdf
- A practical application of two in silico systems for identification of potentially mutagenic impurities
- Collaborative Solutions to ICH M7.pdf
- Comparative Evaluation of in Silico Systems for Ames Test Mutagenicity Predict.pdf
- ICH M7 - Have you got it covered?
- Introduction to in silico toxicology
- Lhasa Knowledge Suite - Nexus 2.0 Installation Guide
- Lhasa Knowledge Suite - Nexus 2.0 Release Notes
- Lhasa Knowledge Suite - Nexus 1.7 Release Notes
- Lhasa Knowledge Suite - Nexus 1.7 Installation Guide.pdf
- Lhasa Knowledge Suite - Nexus 1.6 Installation Guide
- New transparent statistical approaches to toxicity prediction.pdf
- Nexus 2 - Improved functionality to assist in ICH M7 submission
- Sarah Nexus v1.0 Release Notes.pdf
- Self Organising Hypothesis Networks - Organising QSAR knowledge.pdf
- Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge
- Sarah Nexus Single Prediction Tutorial
- Sarah Nexus Reports Tutorial
- Sarah Nexus Batch Prediction Tutorial
- Sarah Nexus Validating a Model Tutorial
- Strengthening the Case for in silico GTI Assessments.pdf
- Supporting members with the emerging ICH M7 guidelines.pdf
- The Sarah Engine Prototype.pdf
- Use of Multiple Systems for Mutagenicity Prediction.wmv
- Computational approaches to managing mutagenicity risk for ICHM7 and beyond
- Mutagenic Impurities: Precompetitive/Competitive Collaborative and Data Sharing Initiatives
- Comparative assessment of several in silico systems and models to predict the outcome of the Ames mutagenicity assay
- Establishing best practise in the application of expert review of mutagenicity under ICH M7
- Generics Perspective: Success Strategies for Genotoxic Impurity Identification, Assessment and Control
- Evaluation Of A Statistics-based Ames Mutagenicity QSAR Model And Interpretation Of The Results Obtained
- Lhasa Knowledge Suite - Nexus 2.1 Installation Guide
- Mutagenicity assessment strategy for pharmaceutical intermediates to aid limit setting for occupational exposure
- 38th ICGM Product Update.pdf
- 42nd ICGM Product Update.pdf
- Benchmarking Assessment of Salmonella Mutagenicity QSAR Models for Potential Use Under ICH M7.pdf
- Establishing best practice for the application of a novel statistical-model to evaluate potential mutagenic impurities under ICH M7
- The use of integrated in silico solutions under the proposed ICH M7 guidelines final.pdf
- Building models of bacterial mutagenicity from biased training data.pdf
- Computational Approaches to Managing Mutagenicity Risk for ICH M7 and Beyond.pdf
- Lhasa Limited Product Update.pdf
- Building Models within Sarah Nexus.pdf
- Derek Nexus and Sarah Nexus - working together for ICH M7.pdf
- Living with M7.pdf
- Product Update - March 2015.pdf
- ICH M7 Workflow.pdf
- Important Considerations When Building Statistical-based Mutagenicity Models.pdf
- Undertaking Expert Review under ICH M7 - A Practical Guide
- Lhasa Knowledge Suite - Nexus 2.1 Release Notes
- In silico approaches to knowledge and data sharing
- 43rd ICGM Product Update
- Mutagenic impurities: predicting alerting structures using in silico tools
- Implementation of ICH M7 Recommended (Q)SAR Analyses
- Advantages in Utilizing an Integrated In Silico Solution for ICH M7 Expert Review
- Evaluation Of The Statistics-Based Ames Mutagenicity Model Sarah Nexus And Interpretation Of The Results Obtained
- Data Dos and Don'ts in Building Statistical Models For Ames Mutagenicity
- Mutagenicity Prediction Using In Silico Methods: Gigabyte-Sized Petri Dishes
- The use of in silico tools to support expert review under ICH M7
- 3-Fluoro-4-Phenylaniline - Positive - Positive
- Methyl Sulfate - Negative - Equivocal
- Phenyltrifluoroborate - Positive - Out Of Domain
- Tolfenamic Acid - Negative - Negative
- N-Propyl Triazoline - Positive - Negative
- ICH M7 - Worked Examples using the new Nexus workflow
- 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?
- Derek and Sarah for Web
- Intuitive Model Building with Sarah Nexus
- Product Update 44th ICGM
- ICH M7 Classification and the involvement of (Q)SAR methods
- A k-Nearest Neighbours Approach Using Metabolism-related Fingerprints to Improve In Silico Metabolite Ranking
- Confidence and Accuracy in Sarah Nexus
- Sarah Product Poster
- Advantages in Utilizing an Integrated In Silico Solution for ICH M7 Expert Review
- 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
- Sarah Nexus Mutagenicity QMRF.pdf
- 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
- How Sarah Nexus Predicts
- How Sarah Nexus Predicts - Detailed
- 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
- 49th ICGM Product Manager Update
- Leveraging Strain Information In Sarah Nexus Predictions
- Using New Features to Further Interrogate Sarah Nexus Predictions
- ICH M7 Brochure
- 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
- Toxicity Studies for Degradation Impurities - An Industry Perspective
- 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
- Save Time and Money with Lhasa Limited
- 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
- RDC53: Challenges on impurities qualification
- Use of In Silico Tools for Toxicity Prediction Within ICH M7
- In silico prediction of Mutagenicity
