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Data · dataset · 2026

Escherichia coli CRISPR-Cas9 sgRNA On-target Activity Dataset (Wild-type, eSpCas9, and recA-Knockout Backgrounds)

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This dataset is the supporting data for the paper "Prediction Model for Prokaryotic sgRNA Cleavage Activity Fusing Local Multi-Scale Convolution and Global RNA Semantics" (submitted to《Progress in Biochemistry and Biophysics》, manuscript No.20260295).

Description

The data were mainly derived from the construction of a prokaryotic sgRNA cleavage-activity prediction model and related supplementary experiments conducted at the College of Science, Dalian Maritime University, from December 2025 to September 2026.

The dataset integrates three prokaryotic benchmark datasets—wild-type Cas9 and its high-fidelity variants eSpCas9 and knoRecA_Cas9—sourced from an E. coli genome-scale sgRNA library (Wang et al., Nucleic Acids Research, 2018), comprising more than 137,000 sgRNA sequences of 43 nt together with their cleavage activities measured by high-throughput sequencing, and balanced binary labels (high-/low-efficiency) generated using the median editing efficiency of each dataset as the threshold.

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It also records the 640-dimensional global semantic features extracted by the pretrained RNA foundation model RNA-FM, the source code and trained weights of the dual-channel fusion model (local multi-scale convolution + global RNA semantics), and the results of supplementary experiments including cross-species few-shot fine-tuning, label-noise robustness, and dual-channel fusion-weight attribution. This dataset lays the foundation for the precise preliminary screening of high-activity sgRNAs and the development of new methods for sgRNA cleavage-activity prediction in prokaryotic CRISPR-Cas9 genome editing.

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Sequencing 75%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.57760/sciencedb.011xb9 d agoJSON v1
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