Artificial intelligence takes structural biology to the next level

A scientist at Karolinska Institutet reports that machine learning can be used to gain insights into molecular events that change the shape of proteins after they are made, regulating their ability to interact with each other. ...

Faster drug discovery through machine learning

Drugs can only work if they stick to their target proteins in the body. Assessing that stickiness is a key hurdle in the drug discovery and screening process. New research combining chemistry and machine learning could lower ...

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 ...

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