rowan by K-Dense-AI
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
Why Use This
This skill provides specialized capabilities for K-Dense-AI's codebase.
Use Cases
- Developing new features in the K-Dense-AI repository
- Refactoring existing code to follow K-Dense-AI standards
- Understanding and working with K-Dense-AI's codebase structure
Install Guide
2 steps- 1
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- 2
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