michaelhla/pro-1
reasoning model trained using GRPO towards rosetta REF2015 for protein stability
This tool helps biochemists and protein engineers improve protein stability. You provide a protein's amino acid sequence, a text description, and any past engineering attempts. The tool then suggests specific modifications to the sequence to make the protein more stable. It's designed for researchers working on enzyme optimization or protein design.
101 stars.
Use this if you need to computationally explore and identify amino acid changes to enhance the stability of a protein or enzyme.
Not ideal if you lack access to an NVIDIA GPU, specifically an A100 80GB for optimal performance, or if you require completely reliable, experimentally validated suggestions without further testing.
Stars
101
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/michaelhla/pro-1"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepRank/deeprank2
An open-source deep learning framework for data mining of protein-protein interfaces or...
sacdallago/biotrainer
Biological prediction models made simple.
jonathanking/sidechainnet
An all-atom protein structure dataset for machine learning.
BioinfoMachineLearning/DIPS-Plus
The Enhanced Database of Interacting Protein Structures for Interface Prediction
a-r-j/ProteinWorkshop
Benchmarking framework for protein representation learning. Includes a large number of...