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It’s the latest Big Pharma deal for molecular glue technology and Novartis’ second with Orionis Biosciences, after first linking up in March 2020. The backloaded agreement will see Novartis pay $40 million upfront.

Highlights ● Insilico published a new study unveiling Target Identification Pro (TargetPro), a superior disease-specific model, and TargetBench 1.0, the first standardized benchmarking framework for target discovery. ● TargetPro achieved 71.6% retrieval of known clinical targets, a 2–3x improvement over large language models (LLMs) such as GPT-4o, Grok3, DeepSeek-R1, Claude-Opus-4, BioGPT, and public platforms like Open Targets. ● TargetPro’s predicted novel targets demonstrated 95.7% structure availability, 86.5% druggability, and 46% repurposing potential, outperforming competing systems on all measures. ● TargetBench’s explainable AI models revealed disease-specific feature importance patterns, emphasizing the value of disease-specific target identification models. ● New gold standard approaches improve accuracy, reliability, and transparency in AI-driven drug discovery.

Molecular glue degraders are gaining traction in the clinic as well as funding from Big Pharma, with their potential to treat previously “undruggable” cancers and immunological diseases. Here are five clinical programs worth keeping an eye on.

Johnson & Johnson, Pfizer, Argenx and more are unlocking new immunology targets and looking to improve on existing ones in an attempt to catch some of the magic brought about by AbbVie’s Humira and Sanofi and Regeneron’s Dupixent.