Published Paper
Download Model
GitHub Repository (legacy)
Additional GitHub Code (legacy)
The links marked legacy point to the original published source code. For the model as this web server runs it, use the Download Model link above.
DeepSpCas9variants designs guide RNAs and predicts the efficiency of CRISPR–Cas9 (SpCas9) and various SpCas9 variants with optimized scaffold.
It supports:
SpCas9
Sniper-Cas9
xCas9
eSpCas9 (1.1)
SpCas9-HF1
HypaCas9
evoCas9
VRQR variant
SpCas9-NG
The general specificities (fidelity) of SpCas9 variants: evoCas9 (the highest specificity) ≫ HypaCas9 ≥ SpCas9-HF1 ≈ eSpCas9(1.1) > xCas9 > Sniper-Cas9 > SpCas9.
Homology-directed repair (HDR) donor templates. When an input format describes an intended edit — an unedited/edited sequence pair, ClinVar ID or COSMIC ID — the results also carry what each guide needs for HDR: the cut site, the cut-to-edit distance, the donor template in the chosen type and orientation(s) (default: a single-stranded oligo on the sense strand, 100 nt homology arms each side), the realised arm lengths, an optional PAM-blocking mutation, and the candidate's rank among the target's guides. There is no HDR mode switch: the input format decides.
Note: DeepCas9variants (select DeepCas9variants in the Comparison Mode within DeepBE) provides guide RNA designs and efficiency predictions for six additional Cas9 variants. DeepSpCas9, DeepSpCas9-NG, and DeepxCas9 provide guide RNA designs and efficiency predictions for SpCas9, SpCas9-NG, and xCas9 with conventional scaffold.
DeepCas9variants