All Python package to compute small angle X-ray scattering (SAXS) profiles in one-bead-per-residue approximation with numpy
Project description
saxs_single_bead
All Python package to compute small angle X-ray scattering (SAXS) profiles in one-bead-per-residue approximation with numpy
Algorithm concept
D. Tong, S. Yang and L. Lu Accurate optimization of amino acid form factors for computing small-angle X-ray scattering intensity of atomistic protein structures; J. Appl. Cryst. (2016)
Accurate optimization of amino acid form factors for computing small-angle X-ray scattering intensity of atomistic protein structures
License
This software is licensed under MIT license
Copyright (c) Radost Waszkiewicz (2022)
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file saxs_single_bead-0.0.1.tar.gz.
File metadata
- Download URL: saxs_single_bead-0.0.1.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8107d984d51b15cb027cc7bb9265f0c7f971381ad4c58f00f8d809e4bf0f80f
|
|
| MD5 |
0451e3b04aa80e2e49d836d3ab08e208
|
|
| BLAKE2b-256 |
56cf6f2807773f571ea3ab7f4373450d07e2244c830ba6dc0ba0c05659787cea
|
File details
Details for the file saxs_single_bead-0.0.1-py3-none-any.whl.
File metadata
- Download URL: saxs_single_bead-0.0.1-py3-none-any.whl
- Upload date:
- Size: 10.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c1c78db962697b61af851dd869ce87ef01aa522df01a7c24c703d5353ee03576
|
|
| MD5 |
406c4e2a097c6416ffe694638a220b89
|
|
| BLAKE2b-256 |
3d9a582070db2e5a9f134e9f4bbb392a8d905c6a627f44ee342514f453b283f1
|
