Botanicals

Identifying targets for a formulation of compounds is a crucial step in the drug discovery process. This involves understanding the biological pathways and mechanisms of action of the individual compounds, as well as their potential interactions and synergies. Our approach combines advanced computational methods with extensive experimental data to predict the targets and off-pathways of selected plant compounds. Our platform uses state-of-the-art deep learning models to analyze the molecular structure and properties of each compound, and to predict its potential targets and pathways.

We integrate this information with large-scale gene expression data and other biological assays to refine and validate our predictions. Our approach allows us to identify both primary targets and off-targets, as well as potential pathway crosstalk and feedback loops.By combining computational modeling with experimental validation, we can accelerate the target identification process and reduce the risk of late-stage failures in drug development. Whether you are a researcher, a pharmaceutical company, or a biotech startup, we can help you identify the targets and pathways of your compounds and accelerate your drug discovery efforts.