Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints

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Was passiert ist

Researchers benchmarked general-purpose language models on structure-based drug design tasks involving 3D molecular generation with spatial constraints like protein pockets and pharmacophore points.

Warum es zählt

Drug discovery engineers and computational chemists evaluating whether LLMs can complement or replace specialized diffusion models for molecule generation workflows.

Achtung

LLMs still underperform state-of-the-art diffusion models at this task, though they handle multiple constraints simultaneously, suggesting limited spatial reasoning capability remains.