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#AlphaFold2

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eLife<p>🧪 May's most-read <a href="https://fediscience.org/tags/Biochemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biochemistry</span></a> paper used <a href="https://fediscience.org/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaFold2</span></a> to predict how proteins interact during egg development in fruit flies: <a href="https://elifesciences.org/articles/101967?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=submissions_organic&amp;utm_content=top_paper" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">elifesciences.org/articles/101</span><span class="invisible">967?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=submissions_organic&amp;utm_content=top_paper</span></a></p><p>Have a paper people should see? See what our Editors look for: <a href="https://elifesciences.org/about/aims-scope?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=submissions_organic&amp;utm_content=top_paper#biochemistry-and-chemical-biology" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">elifesciences.org/about/aims-s</span><span class="invisible">cope?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=submissions_organic&amp;utm_content=top_paper#biochemistry-and-chemical-biology</span></a></p>
MCDuncanLab<p>Nice study from <span class="h-card" translate="no"><a href="https://mstdn.science/@teresa_omeara" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>teresa_omeara</span></a></span> &amp; <span class="h-card" translate="no"><a href="https://mas.to/@maom" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>maom</span></a></span> in <span class="h-card" translate="no"><a href="https://biologists.social/@biorxivpreprint" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>biorxivpreprint</span></a></span> </p><p>They used protein prediction to explore the poorly annotated Candida auris genome, and then used protein design to replace endogenous proteins with de novo designed ones.</p><p><a href="https://www.biorxiv.org/content/10.1101/2025.05.14.654010v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.05.14.654010v1</span></a></p><p><a href="https://mstdn.social/tags/StructuralBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StructuralBiology</span></a> <a href="https://mstdn.social/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaFold2</span></a> <a href="https://mstdn.social/tags/proteinPrediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>proteinPrediction</span></a></p>
Tom Terwilliger<p><a href="https://mstdn.science/tags/AlphaFold" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaFold</span></a> <a href="https://mstdn.science/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> with <a href="https://mstdn.science/tags/Phenix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Phenix</span></a> <a href="https://mstdn.science/tags/PredictAndBuild" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PredictAndBuild</span></a> makes <a href="https://mstdn.science/tags/Crystallography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Crystallography</span></a> easier: All you need is your <a href="https://mstdn.science/tags/Xray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Xray</span></a> data and a sequence file.</p><p><a href="https://mstdn.science/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaFold2</span></a> generates a <a href="https://mstdn.science/tags/hypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hypothesis</span></a>, <a href="https://mstdn.science/tags/PredictAndBuild" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PredictAndBuild</span></a> compares it to the data, improves it and feeds it back to <a href="https://mstdn.science/tags/AlphaFold2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaFold2</span></a> to create a better <a href="https://mstdn.science/tags/hypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hypothesis</span></a>.</p><p>(Fully automatic. Requires current nightly build of <a href="https://mstdn.science/tags/Phenix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Phenix</span></a> from <a href="https://phenix-online.org" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">phenix-online.org</span><span class="invisible"></span></a>)</p><p><a href="https://www.biorxiv.org/content/10.1101/2022.11.18.517112v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.18.517112v1</span></a></p>
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