CRISPR-FMC: a dual-branch hybrid network for predicting CRISPR-Cas9 on-target activity
The PAM-proximal sensitivity aligns with established biological evidence, indicating the model's capacity to capture biologically relevant sequence determinants. These results demonstrate that CRISPR-FMC offers a robust and interpretable framework for sgRNA activity prediction across heterogeneous genomic contexts.
Authors
- Quan Zou (ORCID: https://orcid.org/0000-0001-6406-1142)
- Hailin Feng (ORCID: https://orcid.org/0000-0003-2734-480X)
- Jian Li (ORCID: https://orcid.org/0000-0002-5233-2192)
- C T Li
Institutions
- Zhejiang A & F University (CN)
- University of Electronic Science and Technology of China (CN)
- Quzhou University (CN)
Publication Details
- Journal
- Frontiers in Genome Editing
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fgeed.2025.1643888
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China