Powerful machine-learning Software Platform (SaaS)

Most publicly and academically available chemical and toxicological data collected from reliable sources, and real-time execution of most industry-standard prediction models available under one platform.

World's Largest Toxicity Database

ViridisChemTM database contains more than 90 million chemicals (small, large molecules, proteins, polymers) with over 48 physical, chemical and toxicological properties per chemical, offers full GHS classification, and provides federal, state and international regulatory information about the chemicals.

The following features enable ViridisChem to offer sophisticated search capability to identify less toxic alternatives based on researcher’s exact project needs:

  • ViridisChem database identifies each chemical as belonging to specific class (e.g. acid, base, neutral, reagent, solvent, VOC, etc.) or functional groups (aldehyde, ketone, carboxyl, etc.), and correlates its acute/chronic health concerns. There are more than 20 different classes and over 50 functional groups.
  • Chemicals’ relevance within specific sector (pesticides, herbicides, polymers, pigments, binders or resins, alpha/beta hydroxy acids, phthalates, parabens, etc.) is identified so that search for chemicals within specific sector can be specified.
  • Most chemicals’ health, safety, and ecological hazard risks are ranked, and its global regulatory concerns are identified. Chemical’s GHS classification, DOT (Dept. of Transportation) codes, NFPA scores are also logged. This information is critical to develop Safety Data Sheets (SDS).

Real-time Toxicity Evaluation

For new or postulated and proprietary chemicals, based on structural and functional properties, ViridisChem platform selects an ideal prediction models (from the available more than 150 industry-standard models) and executes them in real-time to estimate physical and toxicological properties. This information is then used to calculate endpoint scores that are then aggregated to higher-level Ecological Health and Safety Scores.

Additionally, for a given molecule, the platform can identify its metabolites and analogs. This allows the scientists from pharmaceutical and agrochemical industries draws a structure of new, unknown, or even postulated molecule, ViridisChem platform can offer real-time toxicity predictions. Scientist can then explore if related derivatives are more or less toxic before selecting the target molecule.

Companies can utilize this feature to get toxicity-prediction of the drug-targets during lead-identification to identify or eliminate high-risk drug-targets, or to explore less toxic analogs or metabolites, even before they spend R&D efforts . By integrating the tool within their R&D system, they can even automate the toxicity prediction for their entire list of targets.

Powerful Machine-learning Technologies

Utilizing “Deep machine-learning neural network” technologies, ViridisChem platform is constantly learning from past toxicity-predictions to offer increasingly accurate results. To do this, ViridisChem has utilized its extensive experimental data repository and its world’s largest highly curated database. As more data becomes available over time, the prediction accuracy will continue to increase.