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Vitic Features and Benefits


Access to Proprietary Data - With more than 30 years of successful experience in knowledge and data sharing, continued development of Vitic provides the opportunity to access high-quality and expertly-curated proprietary data to further enhance your decision making and reduce the duplication of effort (Elder et al. 2015).

Expert ICH M7 Support - Rapidly find relevant supporting examples for your impurities by structure, substructure or similarity searching thereby adding weight to expert review (Barber et al. 2015). Vitic enables identification of class 1, 2 and 5 impurities directly, and provides relevant examples to assist in dealing with class 3 and 4 impurities.

Meeting Regulatory Requirements - The ICH M7 guideline stipulates that hazard assessment should involve initial analysis of actual and potential impurities by conducting database and literature searches across carcinogenicity and material mutagenicity data. Vitic is the leading source for information of this type.



Faster Access to Data - Results are delivered quickly and, as queries are built, instantaneous updates to the structure and record counts are provided. Furthermore, intuitive data entry tools are provided, enabling you to store your in-house data and access it when needed in your workflow.

Intuitive Searching - Complex queries are easy to build and modify using drag and drop and nesting functionality. Building queries around both structures and associated toxicological data allows for the retrieval of specific information, aiding decision support and improving productivity.

Current Toxicological Data - Regular updates by Lhasa’s dedicated, expert data team ensures access to the latest toxicity data. The curation process provides direct access to relevant and usefully structured information, whilst still providing the reference to the original source.

Skin Sensitisation Assessment - With increasing pressure to reduce and refine the number of animal tests when assessing the skin sensitisation potential of chemicals (Macmillan et al. 2016), extensive coverage of skin sensitisation data in Vitic supports read-across as a means of reducing the need for such tests.


Lhasa, a Trusted Data Source - All Vitic data is curated and added by expert Lhasa scientists and then thoroughly peer reviewed.

Overall Calls - Published genotoxicity data for compounds is often inconclusive, unspecified or conflicted. Expert Lhasa scientists have developed a framework to make an overall genotoxicity call for compounds, assisting in the derivation of conclusions for structures with complex or uncertain data. This framework has been applied to over 10,000 structures in Vitic.

Streamlined Workflow - Using the Vitic link functionality within the Nexus platform allows immediate access to real data to support toxicity predictions made by Derek or Sarah Nexus, or to provide toxicity data for metabolites and degradants predicted by Meteor Nexus and Zeneth respectively.


One Search, Multiple Datasets - Searches can be carried out across multiple datasets to ensure all relevant results are returned within one interactive interface. This saves time by eradicating the need to duplicate searches.



Barber et al. (2015) ‘Establishing best practice in the application of expert review of mutagenicity under ICH M7’, Regulatory Toxicology and Pharmacology, vol. 73, no. 1, pp. 367-377.


Elder et al. (2015) ‘Mutagenic Impurities: Precompetitive/Competitive Collaborative and Data Sharing Initiatives’, Organic Process Research & Development, vol.19, no. 11, May, pp. 1486-1494.


Macmillan et al. (2016) ‘Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico/in vitro assays’, Regulatory Toxicology and Pharmacology, vol. 76, April, pp. 30-38.





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