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Article

SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.

Science advances - 1 Nov 2019

Kim Hui Kwon, Kim Younggwang, Lee Sungtae, Min Seonwoo, Bae Jung Yoon, Choi Jae Woo, Park Jinman, Jung Dongmin, Yoon Sungroh, Kim Hyongbum Henry

Abstract excerpt

We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA-encoding and target sequence pairs. Deep learning-based training on this large dataset of SpCas9-induced indel frequencies led to the development of a SpCas9 activity-predicting model named DeepSpCas9. When tested against independently generated datasets (our own and...

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Identifiers

PMID: 31723604
DOI: 10.1126/sciadv.aax9249
PMCID: PMC6834390

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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