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    <title>Protein-Complexes on BIOCOMPUTER</title>
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    <lastBuildDate>Fri, 10 Apr 2026 00:00:00 +0000</lastBuildDate>
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      <title>AlphaFold&#39;s Interactome Leap: 1.7 Million AI-Predicted Protein Complexes, Free for Everyone</title>
      <link>https://biocomputer.com/blog/alphafold-protein-complexes-interactome-2026/</link>
      <pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://biocomputer.com/blog/alphafold-protein-complexes-interactome-2026/</guid>
      <description>&lt;p&gt;When AlphaFold dropped its 200-million-protein database in 2022, it felt like the end of something — the long slog of experimental structure determination, at least for individual proteins. It wasn&amp;rsquo;t the end. It was a setup. Because proteins don&amp;rsquo;t work alone, and everyone in the field knew the real problem was always the &lt;em&gt;interactions&lt;/em&gt;. On April 10, 2026, EMBL-EBI, Google DeepMind, NVIDIA, and the Steinegger Lab at Seoul National University answered that problem with a single release: &lt;strong&gt;1.7 million high-confidence AI-predicted protein complexes&lt;/strong&gt;, integrated directly into the AlphaFold Database, free for anyone on earth to use.&lt;/p&gt;&#xA;&lt;p&gt;This is the &lt;strong&gt;interactome era&lt;/strong&gt; of computational biology. Not predicting what a protein looks like — predicting what it &lt;em&gt;does with others&lt;/em&gt;.&lt;/p&gt;&#xA;&lt;p&gt;The implications run from basic science straight into drug discovery, host-pathogen research, and the next generation of AI protein design tools. The barrier to proteome-scale interaction studies just dropped through the floor.&lt;/p&gt;</description>
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