An implementation of the inference pipeline of AlphaFold v2.0.This is a completely new model that was entered as AlphaFold2 in CASP14 and published in Nature. This package contains patches for colabfold
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
alphafold-colabfold-2.3.2.tar.gz
(199.5 kB
view details)
Built Distribution
File details
Details for the file alphafold-colabfold-2.3.2.tar.gz.
File metadata
- Download URL: alphafold-colabfold-2.3.2.tar.gz
- Upload date:
- Size: 199.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9099759114aefa0b13b7a355b9b072994970132bb47ae7e12b090f5e718cc091 |
|
| MD5 | 4fb6f20c90f75c574012525c861ad82d |
|
| BLAKE2b-256 | 8e7bfb7cd9869bf2ace355cb29891154f1e62955aa9aa4bb695d1406f0db6029 |
File details
Details for the file alphafold_colabfold-2.3.2-py3-none-any.whl.
File metadata
- Download URL: alphafold_colabfold-2.3.2-py3-none-any.whl
- Upload date:
- Size: 244.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cf8824e6dd04068bf872a3d34e5da1ea10a90d3ff3808138640684066a6e1f34 |
|
| MD5 | 0748fe3d516a770c5c5e943450daae7c |
|
| BLAKE2b-256 | 0239ef93e7919870133a1beaa5c15b6a2008a9f27dbb679a45322852a89dd546 |
