American scientists in the field of molecular biology have created a machine learning-based system that significantly speeds up the process of developing genetic logic circuits. These circuits are engineered to perform various tasks, which promotes the rapid advancement of “cellular computers” and tools for managing cellular activity.
Genetic logic circuits are synthesized DNA sequences that program cells to execute functions beyond their natural capabilities. Previously, such “cellular computers” were developed manually. However, the new approach allows for the automation of this process using two methods: gene structure analysis and the utilization of neural networks.
The algorithm examines data from known DNA structures, discovering regularities and patterns. This permits the modeling of millions of potential genetic circuits based on experiments with a limited number of samples.
There are already instances of practical application for this technology: genes have been created that cause cells to glow upon exposure to afobamoxifene. These achievements unveil fresh prospects for the accelerated development of “cellular computers” employing artificial intelligence.
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