prepare_batch_csv
This script helps prepare and validate CSV files for DiffDock batch processing. It checks for required columns, validates file paths, and ensures SMILES strings are properly formatted.
- Skills
- Scientific
- 0
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/prepare-batch-csv && curl -fsSL https://doutorai.pt/data/lib/skills__prepare-batch-csv.md -o .claude/skills/prepare-batch-csv/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
#!/usr/bin/env python3
"""
DiffDock Batch CSV Preparation and Validation Script
This script helps prepare and validate CSV files for DiffDock batch processing.
It checks for required columns, validates file paths, and ensures SMILES strings
are properly formatted.
Usage:
python prepare_batch_csv.py input.csv --validate
python prepare_batch_csv.py --create --output batch_input.csv
"""
import argparse
import os
import sys
import pandas as pd
from pathlib import Path
try:
from rdkit import Chem
from rdkit import RDLogger
RDLogger.DisableLog('rdApp.*')
RDKIT_AVAILABLE =
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