Platform overview
The team is combining innovative concepts, high-throughput experimental data, and AI models to establish a gene therapy innovation technology development platform. The platform aims to comprehensively optimize and improve CRISPR gene editing technology, achieving the integrated technology of target discovery, editor discovery, AAV evolution, editing strategies, and ultimately drug development. The platform aims at break through the full-process of gene therapy combining biotech and AI. Meanwhile, our team has established first-in-class self-developed gene therapy pipelines to promote technological achievements to the field of disease treatment and solve more unmet clinical needs.
Technology profile
AIdit-CAPSID
Based on biological experiments and algorithm development, the production process includes library screening, experimental data acquisition, and model iteration. We have built deep learning prediction models and deep learning generation models to evolve efficient and safe capsid for gene therapy.
AIdit-CRISPR
We have generated 106 high-throughput “sequence-function” data matrix, covering： Eight gene editors × Four cell types × Three evaluation metrics. We have built deep learning models to predict the editing efficiencies. You can experience the model at https://crispr-aidit.com.
AIdit-EDITOR
The platform aims to use bioinformatics methods to mine efficient gene-editing tools from large public datasets.
AIdit-TARGET
The platform aims to use our own patented CRISPR high-throughput screening to discover tumor immunotherapy targets, while also utilizing unique biotech data and deep learning modeling for target discovery.
