Integration of DOPtools and CADS in a Web-Based User Interface for Structural Descriptor Calculation, Model...

Quantitative structure-property relationship (QSPR) modeling often requires navigating fragmented tools for descriptor calculation and model optimization. We present a major evolution of the CADS platform through the seamless integration of DOPtools, a specialized Python library for molecular descriptor calculation and model building. These additions streamline the handling of molecular data and QSPR modeling, allowing users to input both numerical features and text-encoded chemical structures to build predictive models. Key enhancements include automated hyperparameter optimization; bulk prediction capabilities; and, especially, model transparency via ColorAtom, which provides intuitive, atom-centered visualizations of model logic. By bridging this gap, the platform now offers an accessible yet powerful environment for leveraging both public and proprietary chemical data.