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329fdce
updated screenshots
d2phap Jul 29, 2026
c78aed1
updated screenshots for opmodels
d2phap Aug 3, 2026
2a886b2
updated screenshots of single predict, design
d2phap Aug 3, 2026
097118c
Update prompts.rst
liyine47 Aug 12, 2026
6a0b7ac
added system level prompt screenshot
liyine47 Aug 12, 2026
9060660
Update score-sequences.rst
liyine47 Aug 12, 2026
f917d9c
Add screenshots for running predict within a table
liyine47 Aug 12, 2026
59e5deb
Adding page about antibody annotations
liyine47 Aug 12, 2026
e83048b
add cluster page
liyine47 Aug 12, 2026
de5ff24
add images for cluster page
liyine47 Aug 12, 2026
23db68a
add images for antibody annotations
liyine47 Aug 12, 2026
fda5240
Update antibody-hit-selection-ngs.rst
liyine47 Aug 12, 2026
abd60e0
add screenshots for antibody hit selection walkthrough
liyine47 Aug 12, 2026
c58723c
ngs-predict image
liyine47 Aug 12, 2026
29f0a8b
Update antibody-annotation.rst
liyine47 Aug 12, 2026
caab425
Update cluster-sequences.rst
liyine47 Aug 12, 2026
6901817
Update source/web-app/opmodels/antibody-annotation.rst
d2phap Aug 12, 2026
481b581
Update source/web-app/opmodels/antibody-annotation.rst
d2phap Aug 12, 2026
1e9503e
add TOC tree
d2phap Aug 12, 2026
19f9fba
Update prompts.rst
liyine47 Aug 19, 2026
c0ae5c7
Update score-sequences.rst
liyine47 Aug 19, 2026
4cc0910
Update cluster-sequences.rst
liyine47 Aug 19, 2026
b0d6610
Update antibody-annotation.rst
liyine47 Aug 19, 2026
acfdb6b
Update antibody-annotation.rst
liyine47 Aug 19, 2026
6148104
Add files via upload
liyine47 Aug 19, 2026
ce165db
updated screenshot with new ui
liyine47 Aug 19, 2026
06e0bfe
Add files via upload
liyine47 Aug 19, 2026
d6415e0
Add files via upload
liyine47 Aug 19, 2026
c777bad
Update index.rst
liyine47 Aug 20, 2026
5c5a692
docs: add protenix-v2 model and confidence to fold api reference (#199)
markgeejw Aug 20, 2026
2d6db83
feat: update python sdk
markgeejw Aug 22, 2026
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40 changes: 20 additions & 20 deletions pixi.lock

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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -24,7 +24,7 @@ dependencies = [
"sphinx-notfound-page>=1.1.0,<1.2.0",
"sphinx-design>=0.6.1,<0.7",
# autodoc
"openprotein-python>=0.16.0,<0.17.0",
"openprotein-python>=0.17.0,<0.18.0",
"ipython>=9.8.0,<10",
# nbsphinx needs ipywidgets to render notebooks containing widget output
"ipywidgets>=8.1.0,<9",
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8 changes: 7 additions & 1 deletion source/python-api/api-reference/fold.rst
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Expand Up @@ -13,12 +13,15 @@ Interface
:undoc-members:


Models
Models
------

.. autoclass:: openprotein.fold.ProtenixModel
:members:

.. autoclass:: openprotein.fold.ProtenixV2Model
:members:

.. autoclass:: openprotein.fold.Boltz2Model
:members:

Expand Down Expand Up @@ -49,6 +52,9 @@ Models
Results
-------

.. autoclass:: openprotein.fold.ProtenixConfidence
:members:

.. autoclass:: openprotein.fold.ESMFold2Confidence
:members:

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15 changes: 12 additions & 3 deletions source/walkthroughs/antibody-hit-selection-ngs.rst
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Expand Up @@ -9,10 +9,9 @@ This recommended end-to-end workflow guides you through selecting antibody hits
from NGS-derived libraries using the **Dataset Assay Details** page. Each step assumes
the previous step's output is in place.

This walkthrough is task-oriented. For a detailed feature reference of the controls used below like Predict, Clustering, Advanced Filters, and the Antibody
settings panel, see comprehensive guide at:doc:`/web-app/opmodels/dataset-assay`.
This walkthrough is task-oriented. For a detailed feature reference of the controls used below, view the following pages: `predict withina a table <https://docs.openprotein.ai/web-app/poet/score-sequences.html>`, 'Clustering <https://docs.openprotein.ai/web-app/opmodels/cluster.html>`, and the `Antibody settings panel<https://docs.openprotein.ai/web-app/opmodels/antibody-annotations.html>`.

.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/dataset-assay-overview.png
.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/ngs-dataset-assay-overview.png
:alt: Dataset Assay Details page overview, showing tabs, header chips, and action bar


Expand Down Expand Up @@ -46,6 +45,9 @@ On the **Dataset** tab, open the **Antibody** panel, then configure the followin

You now have a fully annotated table view of the library.

.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/ngs-antibody-view.png
:alt: open the antibody panel


Reduce redundancy with Clustering
=================================
Expand All @@ -63,6 +65,8 @@ downstream steps operate on diverse families.

You now have a ``Cluster Number`` column.

.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/ngs-cluster.png
:alt: view cluster column

Pre-filter using NGS / antibody metadata
========================================
Expand All @@ -88,6 +92,8 @@ Open **Advanced Filters** from the Dataset tab and apply the following filters i
Toggle **Show select column** if you want to see what got rejected instead of
hiding it.

.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/ngs-advanced-filters.png
:alt: view cluster column

Score with Predict
======================
Expand All @@ -105,6 +111,9 @@ With the candidate set narrowed, run a model to rank within it.
**Scale with parallel predictions**: You can run multiple predictions in parallel — for example, one for binding
and one for developability. Each gets its own chip and its own column.

.. figure:: /_static/walkthroughs/antibody-hit-selection-ngs/ngs-predict.png
:alt: view cluster column


Combine signals
================
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