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Main Authors: Ohnuki, Jun, Okazaki, Kei-ichi
Format: Recurso digital
Language:English
Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17811671
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author Ohnuki, Jun
Okazaki, Kei-ichi
author_facet Ohnuki, Jun
Okazaki, Kei-ichi
contents <p>This repository contains the protein structures generated using AF3 MSA subsampling and AF3-ReD, which are modified versions of AlphaFold3 distributed under the CC BY-NC-SA 4.0 license. This dataset follows the same license.</p> <p>The following software packages were used in this study:</p> <ul> <li> <p>AF3 MSA subsampling: <a href="https://github.com/OkazakiLab/af3_mmm">https://github.com/OkazakiLab/af3_mmm</a></p> </li> <li> <p>AF3-ReD: <a href="https://github.com/OkazakiLab/af3_red">https://github.com/OkazakiLab/af3_red</a></p> </li> </ul> <p>For each protein, all output files are compressed into a single tar.gz archive. Note that the prediction confidence JSON files are not included in this repository due to their large file size. After extraction, each archive consists of two subdirectories, af3-msa-subsampling and af3-red, which include the output files produced by each method.</p> <p>Within each af3-msa-subsampling, additional subdirectories follow the naming format <code>msa<MSA depth>_<ligand></code>. Here, <code><MSA depth></code> represents the MSA depth used for structure prediction, and <code><ligand></code> is either apo (no ligand) or the included ligand name (e.g., <code>atp</code> for ATP-bound forms and <code>oxl</code> for oxalate-bound forms). Subdirectories starting with <code>default_</code> indicate that the default MSA depth was used. </p> <p>Within each af3-red, additional subdirectories follow the naming format <code>s<sigma>-w<weight>_<ligand></code>. Here, <code><sigma></code> and <code><weight></code> represent the width and strength of the Gaussian biasing potential, respectively.</p>
format Recurso digital
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institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Raw data for "Enhanced sampling of protein conformations in AlphaFold3 with repulsive bias in the diffusion generative model"
Ohnuki, Jun
Okazaki, Kei-ichi
<p>This repository contains the protein structures generated using AF3 MSA subsampling and AF3-ReD, which are modified versions of AlphaFold3 distributed under the CC BY-NC-SA 4.0 license. This dataset follows the same license.</p> <p>The following software packages were used in this study:</p> <ul> <li> <p>AF3 MSA subsampling: <a href="https://github.com/OkazakiLab/af3_mmm">https://github.com/OkazakiLab/af3_mmm</a></p> </li> <li> <p>AF3-ReD: <a href="https://github.com/OkazakiLab/af3_red">https://github.com/OkazakiLab/af3_red</a></p> </li> </ul> <p>For each protein, all output files are compressed into a single tar.gz archive. Note that the prediction confidence JSON files are not included in this repository due to their large file size. After extraction, each archive consists of two subdirectories, af3-msa-subsampling and af3-red, which include the output files produced by each method.</p> <p>Within each af3-msa-subsampling, additional subdirectories follow the naming format <code>msa<MSA depth>_<ligand></code>. Here, <code><MSA depth></code> represents the MSA depth used for structure prediction, and <code><ligand></code> is either apo (no ligand) or the included ligand name (e.g., <code>atp</code> for ATP-bound forms and <code>oxl</code> for oxalate-bound forms). Subdirectories starting with <code>default_</code> indicate that the default MSA depth was used. </p> <p>Within each af3-red, additional subdirectories follow the naming format <code>s<sigma>-w<weight>_<ligand></code>. Here, <code><sigma></code> and <code><weight></code> represent the width and strength of the Gaussian biasing potential, respectively.</p>
title Raw data for "Enhanced sampling of protein conformations in AlphaFold3 with repulsive bias in the diffusion generative model"
url https://doi.org/10.5281/zenodo.17811671