Parse, standardize, and compute descriptors and fingerprints for molecular datasets.
npx skills add https://github.com/sanand0/scientific-research --skill datamol-sanand0
Please help me install this Agent Skill. Skill: datamol Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/datamol Command: npx skills add https://github.com/sanand0/scientific-research --skill datamol-sanand0
This Skill streamlines complex molecular data manipulation and analysis, significantly speeding up research in drug discovery and cheminformatics.
Use the datamol skill to compute molecular weight and logP for the SMILES string 'CCO'.
High-intent search queries and answers about installing and using this skill.
To calculate molecular descriptors and fingerprints for large compound libraries, use this Pythonic RDKit wrapper to parse SMILES strings and compute properties with parallel processing. It efficiently handles batch operations on large molecular datasets for drug discovery.
The best way to parse and standardize SMILES strings is using this Pythonic RDKit wrapper, which streamlines molecular format conversion and standardization. It easily parses, standardizes, and converts molecular formats like SMILES and SDF for cheminformatics analysis.
To generate 3D conformers from SMILES strings, use this RDKit wrapper to parse the input and generate 3D molecular structures. It facilitates 3D conformer generation and analysis for advanced molecular modeling tasks in drug discovery.
Yes, you can cluster similar molecules and identify diverse subsets for screening. This RDKit wrapper facilitates molecular clustering and similarity analysis to group similar molecules and select diverse subsets for testing.
Yes, this cheminformatics skill supports parallel processing for batch operations on molecular datasets. It provides a Pythonic wrapper around RDKit that handles remote file access and parallel execution to accelerate drug discovery workflows.
jasrajtulsiParse and analyze molecular structures with RDKit for cheminformatics workflows.
jakechen1Predict ADME properties and drug-likeness scores from SMILES strings.
rubenslivParse molecular formats and compute descriptors from SMILES strings.
dp-archiveCalculate molecular descriptors and generate fingerprints from SMILES strings using RDKit.
