Improving the Efficiency of guide RNAs using ML

CRISPR Cas9, a gene-editing tool, edits parts of the genome by adding, removing or modifying sections of the DNA sequence. It uses a guide RNA to match a desired target gene. The computational models that predict effective guide RNA are developed using data from model species such as fruit flies. So, as a result, these models are not always accurate when working with microbes. A team of researchers at Oak Ridge National Laboratory built an iterative random forest artificial intelligence microbial model to reveal new information about molecular mechanisms that can improve the efficiency of our guide RNAs. This research has the potential to make a significant difference in fields such as drug discovery, bioenergy, etc. More details on the research can be found at

https://www.ornl.gov/news/scientists-use-quantum-biology-ai-sharpen-genome-editing-tool