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Merge pull request #30 from supernord/edits
add join_conversation to nav bar
2 parents ff00818 + fcd1ec5 commit 08c7690

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_data/CONTRIBUTORS.yml

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Matthew Downton:
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git: mattdton
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orcid: 0000-0002-4693-1965
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affiliation: Associate Director - Performance Optimisation, National Computational Infrastructure (NCI)
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Kisaru Liyanage:

_data/sidebars/main.yml

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subitems:
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- title: Home
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url: /index
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- title: Join the conversation
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url: /join_conversation
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- title: Activities
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url: /activities
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- title: How-to Guides

contributing/contributing.md

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title: Contributing
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page_id: contributing
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type: resources
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#type: resources
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---
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{% include callout.html type="important" content="Contributing guidelines will be available soon." %}

pages/activities.md

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title: Community Activities
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page_id: activities
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type: resources
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#type: resources
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toc: false
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---
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## In progress
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{% include section-navigation-tiles-simple.html col = "2" type="activity_inprogress" except="binder_access.md" %}
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{% include section-navigation-tiles-simple.html col = "2" type="activity_in_progress" except="binder_access.md" %}
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## Future
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title: Batch Structure Prediction Workflows
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type: activity_inprogress
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type: activity_in_progress
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contributors: [Ziad Al-Bkhetan, Mitchell O'Brien, Joshua Storm Caley, Keiran Rowell, Cameron Hyde, Thomas Litfin]
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---
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### Details:
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## Details
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- Structure prediction software often natively supports single predictions.
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- Specific workflows can re-use MSA input to massively improve efficiency over naive implementation.
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This activity involves developing optimized batch workflows for structure prediction.
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### Completed:
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### Completed
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- [x] Add support for re-using MSAs to Galaxy Australia AlphaFold2 service.
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- Add support for re-using MSAs to Galaxy Australia AlphaFold2 service.
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### In Progress:
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### In Progress
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- [ ] Add local implementation of batch colabfoldsearch to the nfcore [proteinfold](https://nf-co.re/proteinfold/1.1.1) pipeline.
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- [ ] Add mmseqs-GPU support to the nfcore [proteinfold](https://nf-co.re/proteinfold/1.1.1) pipeline.
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- [ ] Add boltz interaction screening workflow to screen multiple potential partners against a protein (re-using MSA for anchor protein).
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- [ ] Add option for extreme replicate sampling for AlphaFold2.
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- Add local implementation of batch colabfoldsearch to the nfcore **[proteinfold](https://nf-co.re/proteinfold/1.1.1)** pipeline.
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- Add mmseqs-GPU support to the nfcore **[proteinfold](https://nf-co.re/proteinfold/1.1.1)** pipeline.
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- Add boltz interaction screening workflow to screen multiple potential partners against a protein (re-using MSA for anchor protein).
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- Add option for extreme replicate sampling for AlphaFold2.
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### Future:
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### Future
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- [ ] Develop Galaxy workflow to take advantage of re-using MSAs.
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- [ ] Add stoichiometry screening workflow to the nfcore [proteinfold](https://nf-co.re/proteinfold/1.1.1) pipeline.
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- Develop Galaxy workflow to take advantage of re-using MSAs.
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- Add stoichiometry screening workflow to the nfcore **[proteinfold](https://nf-co.re/proteinfold/1.1.1)** pipeline.
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title: Community Access to BindCraft
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type: activity_inprogress
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type: activity_in_progress
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contributors: [Ziad Al-Bkhetan, Thomas Litfin]
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---
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### Details
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## Details
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- [BindCraft](https://github.com/martinpacesa/BindCraft) is an end-to-end solution for protein binder design.
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- BindCraft was widely used by participants in a recent blind evaluation ([Adaptyv Bio](https://www.adaptyvbio.com/blog/po104)) of protein binder design tools.
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- BindCraft was widely used by participants in a recent blind evaluation (**[Adaptyv Bio](https://www.adaptyvbio.com/blog/po104)**) of protein binder design tools.
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- Several independent groups generated de novo designed binders with competitive affinity to the natural ligand using the BindCraft tool.
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- BindCraft tool is available within a NextFlow [workflow](https://github.com/Australian-Structural-Biology-Computing/bindflow) to support portable deployment.
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- BindCraft tool is available within a NextFlow **[workflow](https://github.com/Australian-Structural-Biology-Computing/bindflow)** to support portable deployment.
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{% include callout.html type="warning" content="Native BindCraft tool requires PyRosetta as a filter with non-commercial license." %}
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### Completed
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:warning: Native BindCraft tool requires PyRosetta as a filter with non-commercial license
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- Wrap the BindCraft tool in a Nextflow workflow (**[bindflow](https://github.com/Australian-Structural-Biology-Computing/bindflow)**).
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- Add support for parallel execution across multiple GPUs.
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- Negotiate PyRosetta license for non-commercial use at NCI.
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- Output partial results when HPC scheduler jobs time out.
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### Completed:
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- [x] Wrap the BindCraft tool in a Nextflow workflow ([bindflow](https://github.com/Australian-Structural-Biology-Computing/bindflow)).
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- [x] Add support for parallel execution across multiple GPUs.
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- [x] Negotiate PyRosetta license for non-commercial use at NCI.
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- [x] Output partial results when HPC scheduler jobs time out.
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### In Progress
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- Install workflow at NCI.
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- Release BindCraft fork without PyRosetta dependency.
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- Release BindCraft fork with open-source replacements for PyRosetta filters.
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- [ ] Install workflow at NCI.
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- [ ] Release BindCraft fork without PyRosetta dependancy.
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- [ ] Release BindCraft fork with open-source replacements for PyRosetta filters.
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### Future
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- [ ] OpenOnDemand app for running BindCraft from a graphical web interface.
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- OpenOnDemand app for running BindCraft from a graphical web interface.

pages/activities/binder_access.md

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title: Exploring how to increase access to RFdiffusion
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A collaborative activity bringing together members of the computational structural biology community, infrastructure providers, and the Australian BioCommons, in order to determine how to increase access to binder code (e.g. RFdiffusion) for life science researchers.
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title: Infrastructure Roadmap
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type: activity_in_progress
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## Details
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The infrastructure roadmap document describes the existing national landscape, identifies and prioritizes critical research bottlenecks, and proposes a national strategy to unlock the immense potential of computational structural biology for Australian researchers.
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### Completed
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- [x] Initial draft of infrastructure roadmap.
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- [x] Initial community feedback incorporated, content updated, implementation section added.
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- [x] Review and updates based on feedback from co-authors and academic panel.
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- [x] Review and updates based on feedback from community and BioCommons infrastructure partners.
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- [x] Review and updates based on feedback from international experts.
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- Initial draft of infrastructure roadmap.
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- Initial community feedback incorporated, content updated, implementation section added.
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- Review and updates based on feedback from co-authors and academic panel.
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- Review and updates based on feedback from community and BioCommons infrastructure partners.
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- Review and updates based on feedback from international experts.
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### In Progress:
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- [ ] Addressing final review comments.
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### In Progress
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- [ ] Publication to Zenodo.
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- Addressing final review comments.
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### Future
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- Publication to Zenodo.
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### Contributors
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### Contributors:
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- Australian Structural Biology Computing Community
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- Australian BioCommons and infrastructure partners
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title: NCI Data Collection
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contributors: [Matthew Downton, Kisaru Liyanage, Wenjing Xue, Joshua Storm Caley, Thomas Litfin]
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## Details
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- Structure prediction requires constructing multiple sequence alignments of homologous sequences from large reference databases.
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- Different tools use different versions of the same reference databases with different naming conventions. This leads to excessive duplication and data bloat.
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This activity aims to create a stable release of up-to-date reference data (with DOI) to support reproducible structure prediction workflows.
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- [x] Catalog latest version of reference data.
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- [x] Harmonize data across different structure prediction models (AlphaFold2, AlphaFold3, Boltz, ColabFold, HelixFold3, RosettaFold-AA).
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- Catalog latest version of reference data.
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- Harmonize data across different structure prediction models (AlphaFold2, AlphaFold3, Boltz, ColabFold, HelixFold3, RosettaFold-AA).
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- [ ] NCI Data Collection EOI.
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### In Progress
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- NCI Data Collection EOI.

pages/activities/nci_ood_proteinfold.md

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title: OpenOnDemand GUI ProteinFold app
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type: activity_in_progress
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contributors: [Matthew Downton, Kisaru Liyanage, Wenjing Xue, Joshua Storm Caley, Keiran Rowell, Thomas Litfin]
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- Numerous structure prediction methods are available via the command line.
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- Web services with graphical interfaces are freely available with limited capacity.
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- OpenOnDemand provides a simple graphical interface to HPC systems.
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- Several institutional HPCs have an OpenOnDemand deployment (eg KOD @ UNSW, ARE @ NCI).
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- Several institutional HPCs have an OpenOnDemand deployment (e.g. KOD @ UNSW, ARE @ NCI).
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- [x] Pilot app developed and hosted on Katana at UNSW.
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### Completed
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- Pilot app developed and hosted on Katana at UNSW.
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- [ ] Add support for more optional settings in web form interface.
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- Adapt pilot ProteinFold app for ARE at NCI.
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- Add support for more optional settings in web form interface.
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<figure>
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<img src= "images/activities/ood-proteinfold.png" alt="KOD-proteinfold" style="border: 4px solid black; width: 50%; height: 50%">

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