Skip to main content

Choi, J., Seo, S. & Park, S. COMA: efficient structure-constrained molecular generation using contractive and margin losses. J Cheminform 15, 8 (2023). https://doi.org/10.1186/s13321-023-00679-y

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

mol_coma-0.1.4-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file mol_coma-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: mol_coma-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.12

File hashes

Hashes for mol_coma-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 470edb0a2a11d29018f2b4a77a126ad48056e3a4e8020bb36f3f9adc408ed469
MD5 21dc611299ea932df6e0a5bb3bc4050e
BLAKE2b-256 e8109309a9ab3fa88c4458f7ce964d01d40594264a7cd2146be4818f0e669eba

See more details on using hashes here.

Provenance

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