The official implementation of ICLR 2023 paper HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.
The molecular basis of protein thermal stability is only partially understood and has major significance for drug and vaccine discovery. The lack of datasets and standardized benchmarks considerably limits learning-based discovery methods. We present HotProtein, a large-scale protein dataset with growth temperature annotations of thermostability, containing 182K amino acid sequences and 3K folded structures from 230 different species with a wide temperature range
pip install -e .
pip install wandb
pip install pytorch
HP-S2C2: Google Drive
HP-S2C5: Google Drive
HP-S: Google Drive
Please find the outcomes of protein structure-aware pre-training (SAP) in this link.
We provide sample training scripts in the scripts
folder.
Our codes are developed based on esm.