BDM Server
About BDM
BDM serves as an evaluative metric for assessing the quality of predicted protein complex structures. Its scoring range lies between 0 and 1, with higher scores signifying greater accuracy in predicting structural conformations.
Contact
If you have any questions during operation, please contact us:
- Email: zhaijq93@ruc.edu.cn
- Lab: Lab of Bioinformatics and Machine Learning
Key Features
- Scoring Range: 0 to 1 (higher is better)
- Assessment: Protein complex structure quality
- Comparison: True vs predicted structures
- Accuracy: Structural conformation prediction
Usage Instructions
- Step 1: Ensure residue numbers match between structures
- Step 2: Upload ground truth structure
- Step 3: Upload predicted model structure
- Step 4: Click Submit to process files
- Step 5: Click Run to compute BDM metric
Source Code
Download the complete BDM implementation
Code Components
The compressed folder includes three Python files and a shell script. These three Python files represent intermediate steps for computing BDM and can be individually utilized to compute each specific stage. The shell script is designed to compute the actual BDM metric values. Batch processing of protein structures for scoring can also be achieved by modifying the shell file.
Submit Protein Structures
Upload ground truth and predicted PDB files for BDM scoring
Upload Status
Run BDM Analysis
Execute BDM metric computation on uploaded structures