Rural communities in developing countries lack access to affordable, reliable, and
sustainable forms of energy, which are essential factors for improving living conditions …

Proteins are nature's primary building blocks for the construction of sophisticated molecular
machines and dynamic materials, ranging from protein complexes such as photosystem II …

There has been considerable recent progress in designing new proteins using deep-
learning methods,,,,,,,–. Despite this progress, a general deep-learning framework for protein …

Three billion years of evolution has produced a tremendous diversity of protein molecules,
but the full potential of proteins is likely to be much greater. Accessing this potential has …

Deep learning generative approaches provide an opportunity to broadly explore protein
structure space beyond the sequences and structures of natural proteins. Here, we use deep …

There has been considerable recent progress in designing new proteins using deep
learning methods–. Despite this progress, a general deep learning framework for protein …

Cellular processes often depend on interactions between proteins and the formation of
macromolecular complexes. The impairment of such interactions can lead to deregulation of …

The field of chiral inorganic nanostructures is rapidly expanding. It started from the
observation of strong circular dichroism during the synthesis of individual nanoparticles …

In this review we intend to provide a relatively comprehensive summary of the work of
supramolecular hydrogelators after 2004 and to put emphasis particularly on the …

Nature provides many examples of self-and co-assembling protein-based molecular
machines, including icosahedral protein cages that serve as scaffolds, enzymes, and …