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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jina Kim

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Open access Sep 2026

Agentic campaign control for high-throughput de novo binder design

It is found that T-REX adaptively allocates its compute across methods in a target-dependent manner and achieves the highest throughput of structurally distinct hits compared to all baselines, suggesting that adaptive orchestration can complement increasingly powerful protein design models.

Minkyu Jeon, Jinyeop Song, Jina Kim et al. · 2 citations
Open access Sep 2026

Agentic campaign control for high-throughput de novo binder design

Progress in artificial intelligence has produced a rapidly growing ecosystem of methods for de novo protein design. With access to many specialized and often complementary tools, how does one use them effectively, especially with a finite compute budget? Here, we introduce Target-adaptive Rescue–Explore–eXploit (T-REX)...

Minkyu Jeon, Jinyeop Song, Jina Kim et al. · 0 citations

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