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binding-affinity-prediction-prodigy

Predict protein complex binding affinity scores from PDB structures using Prodigy Prot.

1.1k|132|Updated Apr 13, 2023
Search Tags:#structure-analysis#pdb#drug-discovery#binding-affinity#protein-complex#prodigy
One-click install
npx skills add https://github.com/PharMolix/OpenBioMed --skill binding-affinity-prediction-prodigy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: binding-affinity-prediction-prodigy
Source: https://github.com/PharMolix/OpenBioMed/tree/main/skills/binding-affinity-prediction-prodigy
Command: npx skills add https://github.com/PharMolix/OpenBioMed --skill binding-affinity-prediction-prodigy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Predicts binding affinity scores for protein complexes, enabling researchers to estimate interaction strengths from structure data without expensive experiments.

Core Features & Use Cases

  • Local binding-affinity prediction for protein complexes from PDB structures.
  • Lightweight Python example and clear usage workflow for rapid screening.
  • Use Case: rank multiple protein complex candidates by predicted affinity to prioritize experimental validation.

Quick Start

Install the prodigy-prot package and run pred_binding_affinity with your protein complex PDB file.

Frequently Asked Questions about binding-affinity-prediction-prodigy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I predict protein complex binding affinity from a PDB structure?▼

To predict binding affinity, provide a valid 3D PDB structure file to the prodigy-prot package, which calculates a numeric interaction strength score for protein complexes. This facilitates rapid screening without expensive wet-lab experiments.

What is the best way to rank protein complex candidates by predicted affinity?▼

The best way to rank protein complex candidates is to run local binding-affinity predictions for each 3D structure. You can prioritize candidates by comparing the returned numeric affinity scores to focus experimental validation efforts.

Do I need a specific Python version to run prodigy-prot for binding affinity prediction?▼

Yes, predicting binding affinity scores with prodigy-prot requires Python 3.10 or higher. You must install the prodigy-prot package and provide a valid PDB file to execute the prediction successfully.

Can I use PDB structures for local protein complex binding affinity screening?▼

Yes, you can use standard PDB structures for local binding-affinity screening. The Skill processes 3D protein complex structures directly to output numeric affinity scores for rapid structural biology analysis.

Why does my protein complex binding affinity prediction fail or return an error?▼

Binding affinity prediction fails if the Python environment is below 3.10, the prodigy-prot package is missing, or the PDB input file is invalid. The Skill handles these errors gracefully to ensure robust execution.

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