Is there only one optimal configuration an organism can reach during evolution? Is there a single formula that describes the ...

GET, a novel computational model, accurately predicts gene activity by analyzing chromatin accessibility and DNA sequences ...

Evolution might allow for multiple optimal solutions, depending on the constraints and conditions under which an organism ...

The transcription factor regulatory network in Pseudomonas aeruginosa is complex and involves multiple regulators that respond to various environmental signals and physiological cues by regulating ...

With their detailed model, they could theoretically derive and thus predict the optimal ‘wiring’ of the gene-regulation ...

A multi-institutional team of investigators have developed a catalog of transcription factor binding sites that regulate gene ...

A new AI model can predict which genes are "switched on" in any cell, shedding light on how genes are regulated and ...

The model, called EpiBERT ... It accurately identified regulatory elements—parts of the genome recognized by transcription factors—and their influence on gene expression across many cell ...

While “much of this regulatory grammar remains poorly understood,” Ma said, “The GET model takes an important step toward decoding this language.” Understanding the language of gene ...