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      <title>How Claude is uplifting biomolecular modeling</title>
      <link>https://asksendai.com/post/2026/18/17/how-claude/</link>
      <pubDate>Thu, 17 Sep 2026 22:18:27 +0000</pubDate>
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      <description>&lt;figure&gt;&lt;img src=&#34;https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2Ff050c0e37767591e3a7a0f1ea3346515b027f1f6-1908x2048.jpg&amp;amp;w=3840&amp;amp;q=75&#34;&#xA;    alt=&#34;How Claude is uplifting biomolecular modeling&#34;&gt;&#xA;&lt;/figure&gt;&#xA;&#xA;&lt;p&gt;&#xA;In this post, we share how Claude made the open-source models that scientists use to predict and design biomolecules faster and more memory-efficient. Claude, working within Claude Science, optimized more than 30 of these models in just under four weeks, speeding them up roughly 4x on average. It also created a low-memory mode that enables the accurate prediction of biomolecular systems larger than 10,000 tokens (amino acids, nucleotides, and atoms from small molecules and ions) on a single NVIDIA GPU node. We are open-sourcing all of the optimized code and announcing a protein design competition co-sponsored with Adaptyv Bio, backed by up to $1 million in Claude credits and wet lab validation for over 5,000 designs.&#xA;&lt;/p&gt;</description>
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