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

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

mol_coma-2.1.0-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file mol_coma-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: mol_coma-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.13

File hashes

Hashes for mol_coma-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 85cdf59fc4f071980cfdd0dc3d2a21cc80b93e6e29eef3d1eb313d70f28d9d01
MD5 6dcb64853d8ebd27eff6be74aaf48f08
BLAKE2b-256 aa02dd801b7b2a966f584736015d572dc8ce8394c45eb19ca0551e185cf93961

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