Vitic
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Related Publications
- 46th ICGM Product Manager Update
- 49th ICGM Product Manager Update
- A Case Study in Predicting hERG Activity.
- 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
- A Defined Approach to Skin Sensitisation: Integrating Derek Nexus with In Chemico/In Vitro Assays - A Summary
- A Suggested ICH M7 Framework Using Lhasa Limited Products
- Acceptable Intake and Permitted Daily Exposure Data Sharing Project for Pharmaceutical Impurities
- Achieving Innovation Through Collaborative Progress
- An adverse outcome pathway framework to support developmental and reproductive toxicity risk assessments
- An Overview of Lhasa Limited Collaborative Data Sharing Initiatives
- Are All Nitrosamines Concerning?
- Are all nitrosamines concerning? A review of mutagenicity and carcinogenicity data
- Aromatic Amines 2017.1.0 Release Notes
- Aromatic Amines 2018.1.0 Release Notes
- Aromatic Amines 2019.1.0 Release Notes
- Carcinogenicity Adverse Outcome Pathways
- Comparing and combining in silico outcomes and in vitro mechanism-based assays to predict genotoxicity
- Could the Lhasa Cloud be the best hosting option for you? (Infographic)
- Data Sharing Projects using Vitic [an infographic]
- Derek Nexus, Sarah Nexus and Vitic: How they fit into ICH M7 - ICH M7 India Roadshows
- Development Of A Network Of Adverse Outcome Pathways (AOPs) For Carcinogenicity
- Elemental Impurities Data Sharing Initiative
- Excipients Database 2018.1.0 Release Notes
- Excipients Database 2019.1.0 Release Notes
- Excipients Database 2020.1.0 Release Notes
- Expert review of the mutagenicity of carbamates - using (Q)SAR predictions for ICH M7 classification
- Fragrance Database 2020.2.0 Release Notes
- GSK MI risk assessment process Camicinal at al - 2020 ICH M7 India Roadshow
- How low can you go? An analysis of lowest effective dose in the Ames test.
- How low can you go? An analysis of lowest effective dose in the Ames test.
- ICH M7 Brochure
- ICH M7 Perception: Unifying Knowledge from Predictions to Purging
- ICH M7 Workshop - 2020 ICH M7 India Roadshows
- ICH M7 Workshop Japanese ICGM 2019
- ICHQ3D Implementation: Use of published data driven risk assessments
- Important considerations for the validation of QSAR models for in vitro mutagenicity
- Improving Chemical Space Coverage of an In Silico Prediction System by Targeted Inclusion of Fragments Absent from the Training Set
- Improving Toxicity Predictions through knowledge and data sharing
- In Silico Strategies to Assess Potentially Mutagenic Impurities Under ICH M7
- In silico workflow under ICH M7
- Inroads to Predict in Vivo Toxicology - An Introduction to the eTOX Project
- Integrating Knowledge Of Carcinogenicity Adverse Outcome Pathways (AOPs) With Experimental Data
- Integrating Knowledge Of Carcinogenicity Adverse Outcome Pathways (AOPs) With Experimental Data_EMGS Data Challenge 2020
- Intermediates Database 2018.1.0 Release Notes
- Intermediates Database 2019.1.0 Release Notes
- Intermediates Database 2020.1.0 Release Notes
- Introduction to Lhasa - Applying ICH M7 - What makes an expert
- Is preclinical data sharing the new norm?
- Japanese ICH M7 Examples
- Lhasa and the ICH M7 Guideline - 2020 ICH M7 India Roadshow
- Lhasa Expert Review Developments - 2020 ICH M7 India Roadshows
- Making reliable negative predictions of human skin sensitisation using an in silico fragmentation approach
- Management of pharmaceutical ICH M7 (Q)SAR predictions – The impact of model updates
- Modelling Simple Toxicity Endpoints: Alerts, (Q)SARs and Beyond
- Mutagenic Impurities: Precompetitive/Competitive Collaborative and Data Sharing Initiatives
- Mutagenicity Prediction Using In Silico Methods: Gigabyte-Sized Petri Dishes
- Predictions, Data and ICH M7 - 2020 ICH M7 India Roadshows
- Product Update 2019
- Progress on Lhasa's Toxicity Information Management System
- Q3D Regulatory Case Study
- QSAR 2021 Addressing the global challenge of N-nitrosamine impurity assessment
- QSAR 2021 Is the bacterial reverse mutation assay an accurate predictor for N-nitrosamine carcinogenicity
- Quantifying Degree of Aromaticity from Structural Features
- RDC53: Challenges on impurities qualification
- Skin Sensitisation Brochure
- Summation of Toxicity Data in Vitic
- The application of in silico models to support decision making in toxicology
- The Honest Broker's Challenge
- Updated Dermal Sensitisation Thresholds derived using an in silico expert system and an expanded Local Lymph Node Assay dataset
- Use of In Silico Tools for Toxicity Prediction Within ICH M7
- Value of shared preclinical safety studies - the eTOX database
- Vitic - A Faster, More Efficient Searching Experience
- Vitic 2017.1.0 Release Notes
- Vitic 2018.1.0 Release Notes
- Vitic 2020.1.0 Release Notes
- Vitic 3.1 Installation Guide
- Vitic 3.1 Release Notes
- Vitic 4.0 Linux Installation Guide
- Vitic 4.0 Release Notes
- Vitic 4.0 Windows Installation Guide
- Vitic Brochure
- Vitic Data Sharing Benefits
- Vitic Database Installation Guide 2016
- Vitic Nexus 2.6 Installation Guide
- Vitic PDE 2017.1.0 Release Notes
- Vitic PDE 2018.1.0 Release Notes
- Vitic: Lhasa’s Toxicity Information Management System
- Welcome and Introduction to ICH M7 - ICH M7 India Roadshows
- Who is using Vitic? Infographic
