binding-affinity-prediction-prodigy

binding-affinity-prediction-prodigy is a skill for Claude Code, Codex from PharMolix/OpenBioMed. It costs 38 tokens per session (431 once invoked), scanned A, original, MIT.

A tool for estimating how strongly two proteins bind to each other from a protein-complex structure in a PDB file. It returns a predicted binding-affinity score.

In plain words
What is it for?
Use it to predict binding affinity for protein complexes, using a distance cutoff to identify interacting contacts.
Why use it?
It gives researchers a numerical estimate from the structure without requiring them to calculate the protein contacts manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to predict binding affinity for protein complexes, using a distance cutoff to identify interacting contacts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy
About the project

OpenBioMed is an agent platform and toolkit collection for biomedical research and drug discovery, covering areas such as molecular design, protein analysis, and single-cell data analysis. It is intended for researchers and provides the biomedical skills listed in the catalogue as workflows for Claude Code.

PharMolix/OpenBioMed · 1,106 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PharMolix/OpenBioMed --skill binding-affinity-prediction-prodigy
Clone the repo
git clone --depth 1 https://github.com/PharMolix/OpenBioMed

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for binding-affinity-prediction-prodigy

README.md
[![agentmods](https://agentmods.dev/badge/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy/github.svg)](https://agentmods.dev/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy)
Your own site
<a href="https://agentmods.dev/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy"><img src="https://agentmods.dev/badge/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for binding-affinity-prediction-prodigy

Your own site · 80×15
<a href="https://agentmods.dev/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy"><img src="https://agentmods.dev/badge/skills/pharmolix/openbiomed/binding-affinity-prediction-prodigy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 431 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00431
Opus 5 $0.00019 $0.00216
Sonnet 5 $0.00008 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured 10d ago against content hash 95ac4c145d35, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

binding-affinity-prediction-prodigy scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

output = subprocess.run(command, capture_output=True, text=True).stdout.split("##########################################")[1]
skills/binding-affinity-prediction-prodigy/SKILL.md · 67 lines

What it actually says

Prodigy Binding Affinity Prediction for Protein Complex

Prerequisites

Requirement Minimum Recommended
Python 3.10+ 3.10
RAM 32GB 64GB

How to run

Local installation

pip install prodigy-prot

Predict binding affinity of a protein complex structure

import os 

def pred_binding_affinity(complex_pdb_file, distance_cutoff=5.5):
    """
    :param complex_pdb_file: path to the protein complex structure file
    :param distance_cutoff: distance cutoff to calculate ICs
    :return binding affinity score for protein complex
    """

    command = [
        'prodigy', pdb_file,
        '--distance-cutoff', distance_cutoff
    ]

    try:
        output = subprocess.run(command, capture_output=True, text=True).stdout.split("##########################################")[1]
        score = output.split("[++] Predicted binding affinity (kcal.mol-1):")[1].split("\n")[0] 
    except:
        output = "No contacts found for selection"
        score = "0.0"

    return float(score.strip())

# Predict binding affinity score for protein complex (PDB file)
binding_affinity_score = pred_binding_affinity(complex_pdb_file)

Decision tree

Should I use Prodigy?
│
└─ What type of complex are evaluated?
   ├─ Protein complex → binding-affinity-prediction-prodigy ✓
   └─ Protein-ligand complex → structure-prediction-boltz-2
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 67 lines · 38 tokens per session scan A 95ac4c145d35

Subscribe to this mod's changes

binding-affinity-prediction-prodigy is a skill published in the GitHub repository PharMolix/OpenBioMed (1,106 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 431 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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