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Pranam Chatterjee

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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
Preprint Jul 2026

Rethinking Benchmarks and Models for Enzyme Specificity Prediction

Four recently released ES and ER prediction models are benchmarked and it is suggested that interaction-aware representations from full biomolecular complexes may provide a promising basis for enzyme prioritization.

Elizabeth H. Mahood, N. Komorníková, Tom'avs Pluskal et al. · 0 citations
Open access Jul 2026

PeptiVerse: A unified platform for therapeutic peptide property prediction

PeptiVerse is a unified platform that leverages large foundation models to predict diverse peptide developability properties from both amino acid sequences and SMILES representations, enabling accessible, scalable analysis for peptide drug design.

Yinuo Zhang, Sophia Tang, Tong Chen et al. · 5 citations · ⚡1

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