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Update README.md
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AntonOresten authored Jun 11, 2024
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[![Build Status](https://github.com/MurrellGroup/InvariantPointAttention.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/MurrellGroup/InvariantPointAttention.jl/actions/workflows/CI.yml?query=branch%3Amain)
[![Coverage](https://codecov.io/gh/MurrellGroup/InvariantPointAttention.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/MurrellGroup/InvariantPointAttention.jl)

Invariant Point Attention (IPA) is defined in the [supplementary information](https://www.nature.com/articles/s41586-021-03819-2#Sec20) of the [AlphaFold 2 paper](https://www.nature.com/articles/s41586-021-03819-2).
This is a Julia implementation of Invariant Point Attention (IPA), which is is defined in the [supplementary information](https://www.nature.com/articles/s41586-021-03819-2#Sec20) of the [AlphaFold 2 paper](https://www.nature.com/articles/s41586-021-03819-2).

2 comments on commit 47ffa01

@AntonOresten
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Release notes:

  • Export IPCrossA and IPCrossAStructureModuleLayer layers.
  • Export IPA and IPAStructureModuleLayer layers, a special case of cross-attention, where the frames of the keys are the same as for the queries.
  • Export BackboneUpdate layer.
  • Export right_to_left_mask and left_to_right_mask functions.
  • Export virtual_residues function.
  • Export softmax1 function.

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Registration pull request updated: JuliaRegistries/General/108715

Tagging

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.0 -m "<description of version>" 47ffa019d6bbedd327710ea780eebd91e75cef51
git push origin v0.1.0

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