Author

Edward M. Marcotte

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#artificial intelligence Open access Oct 2026

Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition.

Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. We present Bits to Binders, a global competition evaluating de novo bin...

Clayton W. Kosonocky, Alex M. Abel, Aaron L. Feller et al. · Molecular Systems Biology · 6 citations · ⚡2

Open access Aug 2026

Learning from human and chemical languages to predict biological function

PubCheF-1, a deep learning model that predicts literature-derived biological function directly from chemical structure, establishes that machine learning-based prediction of biological function derived from the language of scientific literature allows the identification of bioactive molecules at high hit rates, thereby...

Clayton W. Kosonocky, Nikol Kadeřábková, Kangsan Kim et al. · bioRxiv · 0 citations