Skip to main content

The NIH OPERA suite of models with Python specific functionality

Project description

PyOPERA

The OPERA app was developed by the NIH to run Quantitative structure–activity/property relationship (QSAR/QSPR) models. QSAR models provide a way to predict chemical toxicology without the need of animal models (Madden et al., 2020). The NIH project spun off a repo of OPERA models using MATLAB, this project uses the output of the NIH OPERA open-source project and converts it to a full Python package that is as usable as possible by Python developers.

This project is under active development, full documentation can be found here.

References

Madden, J. C., Enoch, S. J., Paini, A., & Cronin, M. T. (2020). A Review of In Silico Tools as Alternatives to Animal Testing: Principles, Resources and Applications. Alternatives to Laboratory Animals, 48(4), 146–172. https://doi.org/10.1177/0261192920965977

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyopera-0.2.0.tar.gz (100.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyopera-0.2.0-py3-none-any.whl (100.2 MB view details)

Uploaded Python 3

File details

Details for the file pyopera-0.2.0.tar.gz.

File metadata

  • Download URL: pyopera-0.2.0.tar.gz
  • Upload date:
  • Size: 100.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.0 CPython/3.9.15 Linux/5.15.0-1021-aws

File hashes

Hashes for pyopera-0.2.0.tar.gz
Algorithm Hash digest
SHA256 18675c63e0fc6ae05b40a63f5516bdbb93294e923bf813ac924d0773e9196b02
MD5 9e67d242e3e80d38895e2ad745584587
BLAKE2b-256 52aaede4c21918726efae0e3d7d5632bb0283edcdc8975f89f8c114b4249f352

See more details on using hashes here.

File details

Details for the file pyopera-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: pyopera-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 100.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.0 CPython/3.9.15 Linux/5.15.0-1021-aws

File hashes

Hashes for pyopera-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 acb57fead8956a0db0e79b92dbf0f8d0ff0b4344391537a9d69f11d6041bf988
MD5 0366da5a191d64795ef8f6de4fe4df2d
BLAKE2b-256 0f93f1f3a62f62801d9192693b526cba2526ba6dd4d79c6dbfa9ae9ab5280fd2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page