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 ...

How proteins find their place in the cell

Over a quarter of all proteins in a cell are found in the membrane, where they perform vital functions. To fulfill these roles, membrane proteins must be reliably transported from their site of production in the cell to their ...

How ribosomes are like Russian dolls

Maturation of the ribosome is a complex operation. Work by an LMU team now shows that the 90S precursor of the small 40S subunit undergoes a "molting" process, during which it progressively discards its outermost components.

Earth's species have more in common than previously believed

The Earth hosts an abundance of life forms—from well-known animals and plants to small, more hardy life forms such as archaea, viruses and bacteria. These life forms are fundamentally different all the way down to the cell ...

How cellular machinery labels proteins for degradation

Proteins are molecular work horses in the cell that perform specific tasks, but it is essential that the timing of protein activities is exquisitely controlled. When proteins have fulfilled their tasks, their degradation ...

Predicting a protein's behavior from its appearance

Proteins are the building blocks of life and play a key role in all biological processes. Understanding how they interact with their environment is therefore vital to developing effective therapeutics and the foundation for ...

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