Investigation of the folding pathways of protein molecules plays a key role in studying
diseases such as Alzheimer's and designing viral drugs at the molecular level. Despite …

The visualisation of structural biology data can be quite challenging as the datasets are
complex, in particular the intrinsic dynamics/flexibility. Therefore some researchers have …

We report a high-throughput method that enables us to automatically compute the
vibrational spectra of more than 100,000 proteins available in the Protein Data Bank to date …

We report a self-consistent method to translate amino acid sequences into audible sound,
use the representation in the musical space to train a neural network, and then apply it to …

We report the use of a deep learning model to design de novo proteins, based on the
interplay of elementary building blocks via hierarchical patterns. The deep neural network …

We present and evaluate PROMUSE: an integrated visualization/sonification system for
analyzing pairwise protein structural alignments (superpositions of two protein structures in …

In this paper we present SUMO, an open source software environment, which is designed to
facilitate the open development of molecular sonifications for everyday research in chemistry …

The prediction of mechanical and dynamical properties of proteins is an important frontier,
especially given the greater availability of proteins structures. Here we report a series of …

Transforming proteins into signals, and analyzing their spectra using signal processing
techniques (eg, the Discrete Fourier Transform), has proven to be a suitable method for …

Proteins are key building blocks of virtually all life, providing the material foundation of
spider silk, cells, and hair, but also offering other functions from enzymes to drugs, and …