Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences

Abstract excerpt

Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology, and human health. CRISPR-based gene editors derived from microbes, while powerful, often show significant functional tradeoffs when ported into non-native environments, such as human cells. Artificial intelligence (AI) enabled design provides a powerful alternative with potential to bypass evolutionary constraints and gen...

Topics

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

Identifiers and source

Literature Corpus work

44fc132d-c4b4-5cf0-9d6f-bf638489973f

DOI

10.1101/2024.04.22.590591