Results for “3d-generation”

3 skills

Alterlab Datamol

Wraps RDKit in a high-level, pandas-friendly datamol interface with sensible defaults for everyday drug discovery — SMILES/SDF loading into DataFrames, molecule standardization, descriptors, fingerprints, Butina clustering, 3D conformer generation, scaffold analysis, and parallel batch processing, returning native rdkit.Chem.Mol objects. Use when running standard cheminformatics pipelines on molecule tables with minimal boilerplate; for low-level control, custom sanitization, or specialized algorithms prefer alterlab-rdkit. Part of the AlterLab Academic Skills suite.

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Designs 3D models, selects printing technologies, optimizes prints, and troubleshoots issues for additive manufacturing.

Generate user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria, with descriptions, design links, and acceptance criteria.