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#machine learning Preprint Oct 2026

pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows

Biomolecular therapeutics often start from known sequences and require targeted editing to improve multiple properties while satisfying hard biochemical and manufacturability constraints. However, existing generative methods do not jointly support multi-objective optimization, hard feasibility, and sequence editing in...

Tong Chen, Maximilian Holsman, Lin Zhao et al. · 0 citations
Open access Aug 2026

A Mammalian High-Throughput Screen for AI-Designed Peptide-Guided Protein Degraders

Targeted protein degradation (TPD) offers a route to eliminate disease-driving proteins that remain inaccessible to conventional inhibitors. However, degrader discovery remains low-throughput, labor-intensive, and dependent on randomized libraries or non-human display systems, limiting functional selection in mammalian...

Lin Zhao, Anuoluwapo A. Mattix, Aastha Pal et al. · 0 citations

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