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Releases: swansonk14/SyntheMol

Specifying Chemprop Version

26 Apr 06:19
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This release specifies that Chemprop should be version 1.6.1 in the setup.py for pip installation since the new version of Chemprop (2.0) currently breaks Chemprop-related imports in SyntheMol.

NMI paper in README

22 Mar 07:00
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Added information about our Nature Machine Intelligence paper in the README.

Clean building blocks

22 Mar 06:23
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Cleaned up unnecessary columns from the REAL building blocks file to reduce the file size.

Release for Zenodo DOI

06 Dec 19:13
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Release to trigger a Zenodo DOI creation

Public release

05 Dec 21:53
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Public release of SyntheMol GitHub repo and PyPI package.

Refactor and reproducibility check

13 Jun 18:51
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Completed a major refactor of the SyntheMol code to improve ease of use (i.e., as pip package with synthemol command) and verified reproducibility of prior results.

Complete analysis prior to cleanup

23 Feb 22:40
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This release marks the state of the code after completing analysis of the generated, synthesized, and experimentally validated molecules and writing the paper but prior to cleaning up the repo (e.g., changing file names, removing unused scripts).

First round of generations for experimental testing

17 Sep 00:22
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This release marks the state of the code used during the first round of generation for experimental testing. Molecules were generated using 20k rollouts for RF RDKit, chemprop, chemprop RDKit, and random models. Each was filtered using train hits Tversky similarity <= 0.5, ChEMBL antibiotics Tversky similarity <= 0.5, top 20% scores, and k-means clustering into 50 clusters. Among these 200 molecules, 103 are available from Enamine and will be purchased. All instructions for reproducing these results are in the README.