Alexander J. Meeske

The paper identifies CasPRs, DNA-binding anti-CRISPRs that silence CRISPR-Cas systems by blocking transcription, and shows their activity against different CRISPR types.

This paper introduces Protein2PAM, a deep learning model that predicts CRISPR-Cas PAM specificity from protein sequences, enabling the design of Cas variants with tailored PAM recognition.

The paper shows that Listeria seeligeri's type VI-A CRISPR system uses a type II-C Cas1-2 integrase and priming from a type I-B system for DNA spacer acquisition.

Language models trained on over one million mined CRISPR operons generated Cas9-like effectors and matching guide RNAs, and an AI-designed editor is reported to edit the human genome precisely.

The paper challenges the validity of AcrVIA1-7 as type VI-A CRISPR anti-CRISPR proteins due to inconsistencies in bioinformatics and experimental results.