CRISPR-Cas9 off-targeting assessment with nucleic acid duplex energy parameters.

ABSTRACT:

Background

Recent experimental efforts of CRISPR-Cas9 systems have shown that off-target binding and cleavage are a concern for the system and that this is highly dependent on the selected guide RNA (gRNA) design. Computational predictions of off-targets have been proposed as an attractive and more feasible alternative to tedious experimental efforts. However, accurate scoring of the high number of putative off-targets plays a key role for the success of computational off-targeting assessment.

Results

We present an approximate binding energy model for the Cas9-gRNA-DNA complex, which systematically combines the energy parameters obtained for RNA-RNA, DNA-DNA, and RNA-DNA duplexes. Based on this model, two novel off-target assessment methods for gRNA selection in CRISPR-Cas9

SUBMITTER: Alkan F 

PROVIDER: S-EPMC6203265 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature