DNA stands for deoxyribonucleic acid. Nucleic acids are named for where they're found—inside the nuclei of cells—and for the ...

With this robust amount of biological data, the model works much like language learning models (LLMs) such as Google Gemini, ...

A new AI model leverages deep learning to understand the binding of transcription factors to DNA, focusing on the process of ...

With this model, the extent of concentration enhancement ... to a simple physical phenomenon: concentration of DNA at the cell surface induced by settling of DNA–vector–nanoparticle complexes ...

To understand the workings of DNA in relation to disease, scientists at Los Alamos National Laboratory have developed the ...

A new study presents "Evo" – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo's ability to ...

This important work advances our understanding of DNA methylation and its consequences for susceptibility to DNA damage. This work presents evidence that DNA methylation can accentuate the genomic ...

Scientists at the Arc Institute have released the first biological foundation model trained on DNA which can predict and ...

Researchers developed MethylGPT, a powerful transformer-based model that identifies DNA methylation patterns, enabling ...

Researchers have been working on DNA-based data storage for decades, but a new template-based method inspired by our cells’ chemical processes is easy enough for even nonscientists to practice.