VR visualization supports research on molecular networks

Networks offer a powerful way to visualize and analyze complex systems. However, depending on the size and complexity of the network, many visualizations are limited. Protein interactions in the human body constitute such ...

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 ...

The tug-of-war at the heart of cellular symmetry

Symmetry and asymmetry are fundamental properties of nature. Seen from above, butterflies have left-right symmetry, while male fiddler crabs show dramatic asymmetry. This is also the case for the fundamental units of life: ...

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