Deep Genomics is a pioneering biopharmaceutical company that leverages artificial intelligence (AI) to decode RNA biology, facilitating the development of life-changing genetic medicines. By integrating AI with molecular biology, Deep Genomics aims to revolutionize drug discovery and development, offering innovative solutions for genetic diseases.
Key Features and Functionality:
- AI Foundation Model Platform: Deep Genomics has developed a cohesive AI foundation model platform, including BigRNA, the first transformer neural network for RNA biology and therapeutics. This platform accelerates therapeutic discovery across various RNA modalities.
- BigRNA: A flagship AI foundation model comprising nearly two billion tunable parameters, trained on thousands of datasets with over a trillion genomic signals. BigRNA predicts tissue-specific regulatory mechanisms of RNA expression, protein and microRNA binding sites, and the effects of variants and candidate therapeutics.
- REPRESS Model: An advanced deep learning model that accurately predicts microRNA (miRNA) binding and mRNA degradation directly from RNA sequences, enhancing the understanding of post-transcriptional biology and therapeutic design.
- Project Saturn: An initiative utilizing the AI platform to evaluate over 69 billion oligonucleotide molecules against one million targets in silico, generating a library of 1,000 compounds experimentally verified to manipulate cell biology as intended.
Primary Value and Problem Solved:
Deep Genomics addresses the complexity of RNA biology by integrating AI to decode vast amounts of data, identifying novel targets, mechanisms, and molecules inaccessible through traditional methods. This approach accelerates the development of steric-blocking oligonucleotides (SBOs) that increase gene expression for treating genetic diseases. By combining AI with molecular biology, Deep Genomics enhances the predictability, reduces risks, and expedites the time to market for new therapies, ultimately aiming to deliver life-saving therapeutics to patients worldwide.