Neural Network

The advancement of cryo-electron tomography (cryo-ET) has opened novel avenues for visualizing the intricate structures of dynamic macromolecular assemblies within their natural cellular surroundings. Despite its potential, analyzing structural diversity within sub-tomogram data poses a challenge. A groundbreaking machine learning strategy, cryoDRGN-ET, has emerged to decipher the structural intricacies and kinetics of biomolecular complexes within…

A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a gene-specific manner. Despite significant sequence divergence from natural DNA, in vivo measurements reveal that 57% of the synthetic sequences with high expression levels outperform the expression levels of the correspondingly highly…