PyDescriptorC is an advanced Python-based cheminformatics toolkit designed for the rapid calculation of comprehensive molecular descriptors from three-dimensional molecular structures. Built as an extension of the widely used PyDescriptor platform, it integrates PyMOL with multiprocessing capabilities to generate a large collection of interpretable and reproducible descriptors suitable for QSAR, QSPR, machine learning, and molecular property prediction. Notably, PyDescriptorC incorporates chirality-aware descriptors, enabling the quantitative characterization of stereochemical features and the investigation of chirality cliffs, stereoselective structure–activity relationships, and chiral drug discovery. Its emphasis on three-dimensional molecular representation makes it a valuable computational resource for modern cheminformatics and AI-driven pharmaceutical research.
| Field | Details |
| Tool Name | PyDescriptorC* |
| Category | Software |
| Primary Application | Molecular Descriptor Calculator |
| Chirality Relevance (if applicable) | Calculates more than fifteen thousand chirality-aware descriptors |
| Platform | Python |
| Developers | Dr. Vijay H. Masand and the PyDescriptorC* team |
| Official Website (or GitHub/Product page) | Website:
https://sites.google.com/site/vijaymasand/pydescriptorc GitHub: https://github.com/vijaymasand/PyDescriptor |
| License | (Open Source / Commercial / Academic, as applicable): User-sponsor |
| Operating System | Windows, Linux, and macOS |
