Drug design is borrowing from deep learning, but biology is still the hard part

alex_peys · x · 2026-08-04

• The post says drug design is learning from deep learning, quoting a review/article about multispecific T-cell engagers that bind three or more targets on cancer and immune cells.
• The attached image is a classic ML meme contrasting statistical learning’s hand-wavy complexity with neural networks’ “stack more layers” mentality.
• The broader point is that drug discovery is borrowing ideas and framing from deep learning, but the quoted author also emphasizes that biology is not yet understood well enough for a purely clever reasoning system to automatically discover cures.
• In the quoted argument, the promise of AI in health is real, but today’s drug failures often stem from incomplete biological understanding rather than just bad molecule engineering.

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