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Risi Liyanage on Muck Rack

Risi Liyanage

As seen in: BioRxiv
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Articles

Machine learning-inferred and energy landscape-guided analyses reveal kinetic determinants of CRISPR/Cas9 gene editing

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By Lei Jin, Dongsheng Duan, Shi-Jie Chen, Risi Liyanage
| BioRxiv
Abstract The CRISPR/Cas nucleases system is widely considered the most important tool in genome engineering. However, current methods for predicting on/off-target effects and designing guide RNA (gRNA) rely on purely data-driven approaches or focus solely on the system's thermal equilibrium properties. Nonetheless, experimental evidence suggests that the process is kinetically controlled rather than being in equilibrium.
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