Project Introduction
Hybrid Explicit-Implicit Water Attention (HEIWA) adds aqueous solvent encoding the protein language model ESM3 (https://huggingface.co/EvolutionaryScale/esm3-sm-open-v1), resulting in improved biophysical consistency and higher stability in generated proteins.
Instructions
Refer to https://github.com/Ernest-NH-Ho/heiwa4h
Citations
tbc
1 maintainer
Metadata
1 maintainer
Release files for heiwa 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| heiwa-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / heiwa-0.3.0-py3-none-any.whl
| Download URL | heiwa-0.3.0-py3-none-any.whl |
|---|---|
| Size | 43.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b523d70977c2832ea594d23334334a6b7df9449ff1d6de7353b76febeeae5c40
|
|
BLAKE2b-256 checksum How to use checksums |
a027113791d20562cc5e4ca1b1b1a36803e2c87ead5bb8fc60d5ffd2dbae8d60
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
