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Releases: OpenProteinAI/openprotein-python

v0.8.8

12 Sep 05:37

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  • Fixes issue with FoldResultFuture
  • Adds RosettaFold-3 (not incl API)
  • Adds minifold (not incl API)

v0.8.7

01 Sep 05:54

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  • Fix protein plddt bfactor
  • Unify build with hatch-conda-build

Full Changelog: v0.8.6...v0.8.7

v0.8.6

29 Aug 08:21

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  • Fix boltz confidence retrieval
  • Properly handle when model metadata input tokens is null, e.g. msa for AF2
  • Some documentation fixes
  • Add metadata for fold

v0.8.5

29 Aug 08:20

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  • Fixed boltz affinity
  • Fixed predictor train with poet prompt
  • Add paging to listing assays and jobs
  • bfactor for plddt
  • Some typing improvements

v0.8.4

08 Aug 10:52

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  • Fixed broken import

v0.8.3

08 Aug 00:17

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  • Release Rfdiffusion interface
  • Fixes refactor of fitting umap/svd/predictor
  • Lots of docstring updates

NOTE v0.8.2 release got botched so we are skipping a number. please do not use if you find it

v0.8.1

29 Jul 17:34

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  • make single sequence mode be used on a per-protein bases
    • use protein.msa = Protein.single.sequence.mode

v0.8.0

25 Jul 23:06

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  • refactored into domain based layout
    • rewrote unit tests
  • added more docstrings and audited a lot of it
  • removed all deprecated workflows that used the old train and predict
  • added boltz support for structure prediction
  • added decoder type parameter on poet2

v0.7.0

08 May 07:22

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  • Added PoET 2 extra functionality around usage of query with the prompt. Refer to the example on inverse folding.
  • Introduction of a Protein class for more consistent manipulation of protein objects.
  • Deprecated old PoET interfaces in favour of unified access through the embedding module.
    • Usage throws an exception with info on where to access the function

v0.6.1

09 Dec 14:42

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  • Fixed issue with predictor train due to traingraph being null when starting train
  • Added shortcuts for DesignConstraints