Rational design of synthetic proteins using a genome-scale CRISPR screen

Abstract excerpt

Protein structure prediction using deep learning has revolutionized protein design. Yet, our understanding of protein function remains a key limitation for designing novel proteins that perform complex biological tasks. Here, we adopt a massively-parallel, function-first approach to rationally design synthetic proteins. Using genome-scale CRISPR activation, we overexpress ∼19,000 human proteins and measure their i...

Topics

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• CRISPR-Associated Protein 9
• CRISPR-Cas Systems
• Directed Molecular Evolution
• Gene Editing
• Machine Learning
• Neural Networks, Computer
• Nucleotide Motifs
• Protein Engineering

Identifiers and source

Literature Corpus work

128ed932-a72b-5728-b2ca-952686e690dd

DOI

10.64898/2026.02.19.706875