MPNN-ProGen2-xlarge-CATH42
| Property | Value |
|---|---|
| Parameter Count | 6.57B |
| License | Apache-2.0 |
| Tensor Types | F32, FP16, BOOL |
| Paper | InstructPLM Paper |
What is MPNN-ProGen2-xlarge-CATH42?
MPNN-ProGen2-xlarge-CATH42 is a state-of-the-art protein design model that combines the capabilities of ProGen2 and ProteinMPNN architectures. Trained on the CATH 4.2 dataset, this model specializes in designing protein sequences that conform to specified backbone structures with high accuracy.
Implementation Details
The model implements a sophisticated architecture that leverages transformer-based text generation techniques specifically adapted for protein sequence design. With 6.57B parameters, it utilizes multiple tensor types (F32, FP16, and BOOL) to optimize performance and accuracy.
- Built on ProGen2 and ProteinMPNN foundations
- Trained on comprehensive CATH 4.2 dataset
- Implements advanced protein structure instruction following
- Utilizes multiple precision formats for optimal performance
Core Capabilities
- Accurate protein sequence generation based on backbone structures
- Structure-guided protein design
- High-precision protein modeling
- Biological sequence optimization
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines the strengths of ProGen2 and ProteinMPNN while being trained on the CATH 4.2 dataset, allowing it to generate highly accurate protein sequences that conform to specified structural requirements.
Q: What are the recommended use cases?
The model is ideal for protein design tasks where specific backbone structures need to be maintained, making it valuable for protein engineering, drug design, and structural biology research.
