-DeepCas9, 378 a deep convoluted neural network (CNN) model consisting of a combination of several other deep-learning models and capable of predicting on-target activity of sgRNAs based on DNA sequences potentially allowing high-throughput screening of sgRNAs. -OpenCRISPR-1, 379 a protein language trained on several components of naturally occurring CRISPR systems with an emphasis on Class 2 systems (specifically the Types II system). The model was capable of designing diverse novel Cas9-like proteins not found in nature along with functional sgRNAs for said novel Cas9-like proteins. The model was generated using ProGen2, a protein large language model, 380 and trained using the CRISPR-Atlas (collection of Cas proteins, CRISPR arrays, tracrRNAs and PAMs from microbial genome). -TIGER (Targeted Inhibition of Gene Expression via guide RNA design)