DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

New compact model for gene regulation in higher organisms

Although the DNA and its double-helix are one of the most familiar molecules of our time, our knowledge of how cells control what genes they want to express is still rather limited. In order to create, for example, an enzyme, ...

Transcription factors may inadvertently lock in DNA mistakes

Transcription factor proteins are the light switches of the human genome. By binding to DNA, they help turn genes 'on' or 'off' and start the important process of copying DNA into an RNA template that acts as a blueprint ...

A genome-scale map of DNA methylation kinetics

While the first genome-wide DNA methylation map in mammalian cells was established over 10 years ago, such maps only provide snapshots and do not inform about the actual dynamics of this epigenetic mark. Researchers from ...

Advancing gene therapies: PIP pip hurray!

A new compound has the potential to bind to DNA and activate genes, which could lead to new treatments for cancers and hereditary diseases. Zutao Yu, Ganesh Pandian Namasivayam, and Hiroshi Sugiyama of Kyoto University's ...

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