Vindi M. Jayasinghe‐Arachchige

This paper uses machine learning to identify allosteric networks in Cas9, revealing key residues and an electrostatic valley that stabilize its structure and specificity.

CasGen generates novel Cas9 and Cas12 proteins using a transformer-based model with margin-based regularization, achieving structural similarity and functional integrity.

The paper uses machine learning to identify distinguishing features of Cas9 and Cas12 proteins, finding specific tripeptides important for their function.

This paper develops two deep learning models for classifying CRISPR-Cas proteins, achieving high accuracy in distinguishing CAS from non-CAS and sub-classifying CAS9 and CAS12.