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A general theoretical framework to design base editors with reduced bystander effects.
Nat Commun
November 2021
Center for Theoretical Biological Physics, Rice University, Houston, TX, 77005, USA.
Base editors (BEs) hold great potential for medical applications of gene therapy. However, high precision base editing requires BEs that can discriminate between the target base and multiple bystander bases within a narrow active window (4 - 10 nucleotides). Here, to assist in the design of these optimized editors, we propose a discrete-state stochastic approach to build an analytical model that explicitly evaluates the probabilities of editing the target base and bystanders.
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