Skip to main content

Simulation of methematical models of signaling pathways of GPCRs

Project description

The SSB computational toolkit was developed to easily predict classical pharmacodynamic models of drug-GPCR (class A) interactions given just as input structural information of the receptor and the ligand.

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

ssbtoolkit-1.0.1.tar.gz (59.7 kB view details)

Uploaded Source

Built Distribution

ssbtoolkit-1.0.1-py3-none-any.whl (65.6 kB view details)

Uploaded Python 3

File details

Details for the file ssbtoolkit-1.0.1.tar.gz.

File metadata

  • Download URL: ssbtoolkit-1.0.1.tar.gz
  • Upload date:
  • Size: 59.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ssbtoolkit-1.0.1.tar.gz
Algorithm Hash digest
SHA256 64b155b025d4860f73adcc38abb89aebfda3df667ec9bab0a3ce72bfdc3c8a66
MD5 ebbb220325dc62bc0867e2b206b1676b
BLAKE2b-256 d10491c25bfaec61534e0957f727978c769141c5ba0b127f8a922743fb2a2cfc

See more details on using hashes here.

File details

Details for the file ssbtoolkit-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: ssbtoolkit-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 65.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ssbtoolkit-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 699a9b5ea7138f3615392346cdaaf443169db49c9fea91ef1d337291119dabf6
MD5 952e970dbb8dc3666cdd471126271c47
BLAKE2b-256 e6b60fa54c33af98bacd866cc7b3e13db3420b473758a7f06859c664c3554664

See more details on using hashes here.

Supported by

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