Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which aims ...

Cartesian Genetic Programming (CGP) is a robust evolutionary algorithm that represents computational solutions as directed graphs, incorporating redundant genes to enhance the efficiency of its search ...

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

The expression of genes has to be very carefully controlled by cells; serious problems can arise when genes are expressed in the wrong places, at the wrong times, or at the wrong levels, for some ...

Collaborative research defines a novel approach to understanding how certain proteins called transcription factors determine which genetic programs will drive cell growth and maturation. The method, ...