Louisa Crawford
February 20, 2025 22:42
NVIDIA Bionemo introduces EVO 2, an innovative AI model of biomolecular science, to provide insights to various species of DNA, RNA and protein.
NVIDIA Bionemo has launched the state -of -the -art biomolecular AI model EVO 2, which shows significant development in the field of genome data analysis. According to NVIDIA, this model is the largest public AI tool for genome research developed in collaboration with ARC Institute and Stanford University on the NVIDIA DGX cloud platform.
Genome Research Revolution
EVO 2 is trained for a wide range of data sets including almost 9 trillion nucleotides, the default components of DNA and RNA. This model can convert the application of biomolecular research applications to enable the prediction of protein structure and function in the gene sequence, find new molecules for health care, and evaluate the effect of genetic mutation on function.
Patrick HSU, co -founder of ARC Institute and assistant professor of the University of California, emphasized the potential of this model, “EVO 2 represents the main milestone of the genome genome.” He also noted the ability of the model to develop solutions in the field of medical and environmental sciences.
Improved access and functions
EVO 2, which can be used worldwide on the NVIDIA Bionemo platform, can be used as a NVIDIA NIM micro service to promote safe and efficient AI distribution. Researchers use the exclusive data set to fine -adjust the model to provide open source NVIDIA Bionemo framework to provide accelerated computing tools for biomolecular research.
Brian HIE, an assistant professor of Stanford University, emphasized the effects of the biological design of the model, explaining the design of a complex biological system as a more accessible and efficient tool.
Application in various science fields
EVO 2’s ability is expanded across various science areas, including medical, agricultural biotechnology and materials science. The model, which has been trained for various species, can handle up to a million tokens with gene sequences to provide insight into the connection between the gene code and the cell function.
In health care, EVO 2 helps to identify genetic variants related to disease and design targeted molecular treatment. For example, a study containing the BRCA1 gene associated with breast cancer, this model showed 90% accuracy in predicting the effects of previous unknown mutations.
In agricultural, EVO 2 can solve the global food problem by providing insight into plant biology to support the development of climate experience and nutritious crops. It also has the potential of bio fuel and engineering protein design for industrial applications.
Dave Burke, the chief technical director of ARC, started a powerful new telescope for EVO 2 and opened a vast possibilities for scientific discovery.
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