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| Products > ViTAL |
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- ViTAL is a comprehensive toxicity prediction platform which provides multiple levels of toxicity alerts in compliance with the requirements of regulatory authorities for product approval.
- It has robust and tested methodologies derived from the collective expertise of field toxicologists, scientific and data inputs from reputed research institutes. ViTAL is well accepted by the industry.
- ViTAL provides alerts for genotoxicity along with probability values which indicate the significance of toxicophores.
- The unique three pronged approach of ViTAL combines reliable:
- Decision tree methodology: It employs rulebase in accordance with the results of Joint Research Centre's European Chemicals Bureau`s hazard estimation based on the Benigni/Bossa rulebase for genotoxic carcinogenicity and mutagenicity (Benigni et .al. JRC Scientific and Technical, 2008).
- ANOVA methodology: It provides the significance of the toxicophores based on F-ratio and probability
- SAR / QSAR models: The models provide qualitative prediction for mutagenicity and carcinogenicity along with confidence level of prediction based on applicability domain
- Additionally ViTAL provides molecular fingerprint based similarity search in database of toxic compounds to increase confidence level of genotoxicity prediction.
- ViTAL databases include:
- Compounds having TD50 values reported for rats and mouse species from Handbook of Carcinogenic Potency and Genotoxicity Database of Gold and Zieger.
- Ames dataset for Mutagenecity, CPDB dataset for mutagenicity and carcinogenicity and dataset for COMET assay.
- ViTAL allows use of customers’ databases for its predictions where available.
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- Specialized VLife Tox Prediction service is available
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- Per compound/structure basis
- All structures in an API or product
- Fixed annual fee based engagement
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- In-depth analysis with decision support documentation (ViTAL Report)
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- Quick turnaround time on queries
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- Affordable cost structure with attractive pricing options
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- Consulting for informed “Go-No go” decision in the context of regulatory norms and guidelines
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- Extended services for prediction for various toxicity endpoints (dermal irritation, corrosion, sensitization etc) and side effect analysis
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| MolSign: For pharmacophore generation & using it for optimization and searches. |
| LeadGrow: To create combinatorial library with a choice of substitutions. |
| LeadGrow+: This is an extension to the LeadGrow module for combinatorial library generation which ensures that molecules which can be synthesized can only be generated in a library. |
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Target Identification for existing nutraceutical molecule View |
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Anti-cancer: Classification model development View |
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Design of Biosensor for herbicide View |
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"GRIP docking in BioPredicta is a significant improvement over comparable technologies in terms of accuracy and speed of predictions of docking poses with respect to the co-crystallized X-ray structures."
R. Sowdhamini. Ph.D.
National Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR) |
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| LeadGrow |
| Combinatorial library generation |
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