iBiodegPred

iBiodegPred predicts biodegradability and biological toxicity of chemical compounds to inform environmental fate and risk assessment.

Key Features:

• Machine Learning Integration: Leverages machine learning algorithms trained on experimental datasets to predict biodegradability and biological toxicity for diverse compounds, including xenobiotic molecules.
• Integrated Risk Assessment: Combines biodegradability and toxicity predictions to provide a holistic assessment of environmental impact.
• Application to Novel Molecules: Generates predictions for novel compounds, such as antiviral compounds, that lack prior biodegradation data.
• Data-driven Models: Uses a robust dataset of experimental results from diverse chemical compounds to train predictive models.

Scientific Applications:

• Environmental Fate Assessment: Informs fate predictions for industrial precursors and additives used in plastics, fibers, construction materials, and pharmaceuticals.
• Toxicity Evaluation: Supports toxicological assessment by predicting biological toxicity of chemical substances.
• Regulatory Support: Aids regulatory compliance and the development of safer, more sustainable chemicals through predictive screening.
• Early Risk Screening: Anticipates potential environmental and health risks of novel and xenobiotic molecules without extensive experimental testing.

Methodology:

Implements machine learning algorithms trained on experimental datasets to build predictive models for biodegradability and biological toxicity and integrates those models to produce combined risk assessments.