Parse SMILES, compute descriptors, and generate fingerprints with RDKit.
npx skills add https://github.com/galeep/plugin-place --skill datamol-galeep
Please help me install this Agent Skill. Skill: datamol Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-cheminformatics-drug-discovery/skills/datamol Command: npx skills add https://github.com/galeep/plugin-place --skill datamol-galeep
This Skill unit offers a Pythonic wrapper around RDKit, enabling chemical information and machine learning tasks like drug discovery and material design.
Run the script analyze_molecules.py to process the 'compounds.sdf' file for drug-likeness filtering and descriptor computation.
High-intent search queries and answers about installing and using this skill.
To compute molecular descriptors and fingerprints for drug discovery, you can use this Pythonic wrapper around RDKit to parse SMILES strings, standardize structures, and calculate chemical properties directly.
Structure-activity relationship analysis is performed by applying BRICS and RECAP fragmentation methods to break down molecules. This allows you to analyze molecular fragments and identify structural components relevant to activity.
Yes, you need RDKit, SciPy, NumPy, and Pandas installed to process SDF files for molecular clustering. These dependencies provide the computational backend for chemistry tasks, diversity selection, and data manipulation.
You can generate 3D conformers and visualize molecular structures in Python using this library. It relies on Matplotlib for rendering data visualizations and provides abstractions for RDKit to handle 3D generation.
To apply chemical reactions and transformation patterns using SMARTS, the library provides reaction analysis capabilities. You can define transformation patterns and process reactions directly through its cheminformatics interface.
jasrajtulsiParse and standardize molecular structures for cheminformatics workflows.
shushuznConvert SMILES or RDKit molecules into numerical feature vectors for machine learning.
robotlearning123Build, evaluate, and refine machine learning models with scikit-learn.
ovachieverAnalyze and manipulate molecules with RDKit for cheminformatics workflows.
