We provide scientifically robust QSAR modeling to identify structure–activity relationships and predict the biological activity of chemical compounds.
Our QSAR workflows include data curation, descriptor generation, model development, and validation, ensuring reliable predictions that support compound optimization and decision-making in drug discovery.
What We Offer
- Dataset preparation and curation
- Molecular descriptor calculation and feature selection
- QSAR model development using appropriate algorithms
- Internal and external model validation
- Performance evaluation and interpretation
- Report-ready results for manuscripts and projects