pymbar 4.0.3
pip install pymbar
Latest version
Released:
Python implementation of the multistate Bennett acceptance ratio (MBAR) method
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Levi N. Naden and Jaime Rodriguez-Guerra and Michael R. Shirts and John D. Chodera
- Tags molecular mechanics, forcefield, Bayesian parameterization
- Requires: Python >=3.6
Classifiers
- License
- Programming Language
Project description
Pymbar (https://simtk.org/home/pymbar) is a library that provides tools for optimally combining simulations from multiple thermodynamic states using maximum likelihood methods to compute free energies (normalization constants) and expectation values from all of the samples simultaneously.
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Levi N. Naden and Jaime Rodriguez-Guerra and Michael R. Shirts and John D. Chodera
- Tags molecular mechanics, forcefield, Bayesian parameterization
- Requires: Python >=3.6
Classifiers
- License
- Programming Language
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
File details
Details for the file pymbar-4.0.3.tar.gz
.
File metadata
- Download URL: pymbar-4.0.3.tar.gz
- Upload date:
- Size: 116.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d38868e515631eb6bbf306448bfdf166bd82f7b887935eaf4b681f40628be9ff |
|
MD5 | 39fbb4aca909e85e5fa7dec83b15fe71 |
|
BLAKE2b-256 | ff259d149a5bb62a55792ceeb9058fa75996490141017a2a6a1f6a8978540026 |
File details
Details for the file pymbar-4.0.3-py3-none-any.whl
.
File metadata
- Download URL: pymbar-4.0.3-py3-none-any.whl
- Upload date:
- Size: 107.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 302bc12199ab8bb234cac381ed11c63b2c1376f57ff8550cb6ecdb34276d9ef8 |
|
MD5 | 5f6c14cdbb3172d3d3a8287f40ab86c0 |
|
BLAKE2b-256 | 81d9adf833614ea03f92eccd45274dd31eef2e6d06a301216f21dc6cfdc7c17f |