Combining Directed Evolution with Machine Learning Enables Accurate Genotype-to-Phenotype Predictions.

• Tác giả: Oscar D Garrett, Alexander J Howard, James H Notwell, Ellen Y Rim, Pamela C Ronald, Yejin Shim
• Ngôn ngữ: eng
• Ký hiệu phân loại: 621.3132 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting
• Thông tin xuất bản: United States : bioRxiv : the preprint server for biology , 2025
• Bộ sưu tập: NCBI
• ID: 521954

Tóm tắt

Linking sequence variation to phenotypic effects is critical for efficient exploitation of large genomic datasets. Here we present a novel approach combining directed evolution with protein language modeling to characterize naturally-evolved variants of a rice immune receptor. Using high-throughput directed evolution, we engineered the rice immune receptor