HelixSynth 🧬

HelixSynth is API for protein secondary structure prediction, leveraging deep learning to provide rapid and accurate predictions of helices (H), beta sheets (E), and coils (C).

🚀 Quick Start

import requests

API_KEY = "your_api_key"
API_URL = "https://api.helixsynth.com/api/v1/predict"

def predict_structure(sequence):
    response = requests.post(
        API_URL,
        headers={"X-API-Key": API_KEY},
        json={"sequence": sequence}
    )
    return response.json()

# Example usage
sequence = "MLSDEDFKAVFGMTRSAFANLPLWKQQNLKKEKGLF"
result = predict_structure(sequence)
print(f"Structure: {result['structure']}")
print(f"Confidence: {result['confidence']:.2f}")

🎯 Key Features

• ⚡ Ultra-Fast Processing: <100ms per sequence prediction
• 🎯 High Accuracy: >85% accuracy on standard benchmark datasets
• 🔄 Batch Processing: Support for multiple sequences
• 📊 Confidence Scoring: Reliability metrics for predictions
• 🐳 Docker Support: Easy deployment and scaling
• 📚 Python Client Library: Simple integration

💻 Installation

# Via pip
pip install helixsynth-client

# From source
git clone https://github.com/yourusername/helixsynth.git
cd helixsynth
pip install -e .

🎓 Use Cases

Academic Research

class HelixSynthClient: pass

from Bio import SeqIO

client = HelixSynthClient (api_key="your_api_key")

# Batch processing
for record in SeqIO.parse ("proteins.fasta", "fasta"):
    prediction = client.predict (str (record.seq))
    print (f">{record.id}")
    print (f"Sequence: {record.seq}")
    print (f"Structure: {prediction ['structure']}")

Pharmaceutical Applications

from helixsynth.client import HelixSynthClient
import pandas as pd

class DrugScreening:
    def __init__(self, api_key):
        self.client = HelixSynthClient(api_key=api_key)
    
    def analyze_candidates(self, sequences):
        results = []
        for seq in sequences:
            pred = self.client.predict(seq)
            helix_content = pred['structure'].count('H') / len(pred['structure'])
            results.append({
                'sequence': seq,
                'structure': pred['structure'],
                'helix_content': helix_content,
                'confidence': pred['confidence']
            })
        return pd.DataFrame(results)

💎 API Plans

Plan	Requests/Month	Price	Best For
Free	100	$0	Academic Research
Pro	1,000	$49	Small Labs
Enterprise	Unlimited	Custom	Companies

🤝 Contributing

We welcome contributions from the community! Please see our CONTRIBUTING.md guide for details.

📚 Citation

If you use HelixSynth in your research, please cite:

@software{helixsynth2024,
  author = {Allan},
  title = {HelixSynth: Fast Protein Secondary Structure Prediction},
  year = {2024},
  publisher = {GitHub},
  url = {https://github.com/DarkStarStrix/helixsynth}
}

📝 License

This project is licensed under the Apache License—see the LICENSE file for details.

📞 Support

• 📧 Email: [email protected]
• 💬 Discord: Join our community

📦 Model Weights

Download the latest model weights:

wget https://models.helixsynth.org/weights/helixsynth_mini.pt