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 ...

Chromatin regulation enables generation of diverse antibodies

We need a variety of antibody types to help fight off invading foreign pathogens and our genome is exquisitely tuned to produce them to meet emerging needs. A new study finds that not just our DNA, but its configuration and ...

The search for molecular glue in targeted disease control

In cells, there are proteins that do the work and proteins that regulate them. The latter inhibit or enhance activity, depending on the need. However, in many diseases—for example cancer—there is so much overactivity ...

New ways to keep proteins healthy outside the cell

With increasing age, and especially in neurodegenerative diseases such as Alzheimer's, proteins tend to misfold and aggregate into harmful deposits both inside and outside cells. Secreted proteins play an important role in ...

Scientists investigate epigenetic impact across whole genome

All life depends on a genome, which acts as an instruction manual for building all the products essential for development and survival. But knowing which of these individual instructions—or genes—need to be read, and ...

Droplets are key to cells' dynamic activities

A cell is a complex machine whose flexible architecture enables it to take part in life's activities: relaying information, managing waste, responding to stress.

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