NOVA (SN68) developed a drug optimization agent with Chutes (SN64) and Onepot AI, bringing algorithms into confidential research to refine promising molecules for testing. […]
<p class="wp-block-paragraph"><a href="https://taodaily.io/how-metanova-is-connecting-decentralized-ai-with-pharmaceutical-research/">Metanova Labs</a> announced the development of a <a href="https://taodaily.io/nova-improves-early-drug-discovery-by-strengthening-hit-to-lead-selection-with-smarter-scoring-function/">Hit-to-Lead</a> Optimization Agent on <a href="https://taodaily.io/from-nasa-to-biotech-meet-the-miners-competing-on-nova-sn68/">NOVA (SN68)</a>.</p> <p class="wp-block-paragraph">Built with <a href="https://taodaily.io/chutes-opens-6-12-billion-ai-requests-for-harvard-research-to-help-build-better-ai/">Chutes (SN64)</a> and Onepot AI, the system is designed to help researchers refine promising molecules while protecting confidential research data.</p> <p class="wp-block-paragraph">The system incorporates an algorithm developed by a winner of <a href="https://taodaily.io/nova-blueprints-psichic-era-gives-way-to-boltz-2/">NOVA’s Blueprint</a> competition, which rewards better strategies for exploring chemical space.</p> <p class="wp-block-paragraph">It brings an output from Bittensor’s open competitions into proprietary drug discovery workflows.</p> <figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="1024" height="576" src="https://taodaily.io/wp-content/uploads/2026/10/image-291-1024x576.png" alt="" class="wp-image-25970" style="aspect-ratio:1.7777777777777777;width:624px;height:auto" srcset="https://taodaily.io/wp-content/uploads/2026/10/image-291-1024x576.png 1024w, https://taodaily.io/wp-content/uploads/2026/10/image-291-300x169.png 300w, https://taodaily.io/wp-content/uploads/2026/10/image-291-678x381.png 678w, https://taodaily.io/wp-content/uploads/2026/10/image-291-768x432.png 768w, https://taodaily.io/wp-content/uploads/2026/10/image-291.png 1672w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption"><a href="https://x.com/metanova_labs/status/1978096683637436617/photo/1">Branches of NOVA (SN68)</a></figcaption></figure> <p class="wp-block-paragraph">Finding a molecule that binds to a therapeutic target is only an initial step. Researchers must improve its activity, limit interactions with unintended targets, and assess properties such as solubility and ease of synthesis.</p> <p class="wp-block-paragraph">The agent supports this process by helping users compare strategies, explore chemical modifications, and prioritize candidates for testing.</p> <p class="wp-block-paragraph">Onepot AI provides access to proprietary databases spanning billions of possible compounds and an automated synthesis platform.</p> <p class="wp-block-paragraph">According to the announcement, selected molecules can be synthesized and delivered within five to seven business days, helping researchers move from computational predictions to laboratory testing.</p> <figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="1024" height="456" src="https://taodaily.io/wp-content/uploads/2026/10/image-290-1024x456.png" alt="" class="wp-image-25969" style="aspect-ratio:2.252707581227437;width:624px;height:auto" srcset="https://taodaily.io/wp-content/uploads/2026/10/image-290-1024x456.png 1024w, https://taodaily.io/wp-content/uploads/2026/10/image-290-300x134.png 300w, https://taodaily.io/wp-content/uploads/2026/10/image-290-768x342.png 768w, https://taodaily.io/wp-content/uploads/2026/10/image-290.png 1908w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption"><a href="https://www.onepot.ai/">Onepot’s Website</a></figcaption></figure> <p class="wp-block-paragraph">Chutes (SN64) provides confidential inference through verified Trusted Execution Environments. These hardware-isolated environments, combined with encrypted communication and controlled access, are designed to protect sensitive information such as compound structures, targets, and optimization strategies.</p> <figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="1024" height="441" src="https://taodaily.io/wp-content/uploads/2026/10/image-289-1024x441.png" alt="" class="wp-image-25968" style="aspect-ratio:2.319702602230483;width:624px;height:auto" srcset="https://taodaily.io/wp-content/uploads/2026/10/image-289-1024x441.png 1024w, https://taodaily.io/wp-content/uploads/2026/10/image-289-300x129.png 300w, https://taodaily.io/wp-content/uploads/2026/10/image-289-766x330.png 766w, https://taodaily.io/wp-content/uploads/2026/10/image-289.png 1885w" sizes="(max-width: 1024px) 100vw, 1024px" /><figcaption class="wp-element-caption"><a href="https://chutes.ai/">What Chutes Stand For</a></figcaption></figure> <p class="wp-block-paragraph">Metanova plans to integrate the agent into its internal hit-to-lead program. The agent gives NOVA’s competition-winning algorithms a direct path into real-world drug development.</p>