All proteins are made of basic secondary structure units, either α-helix or β-sheets, determined by hydrogen bonding between the amino acids within a peptide chain. On a larger scale, structures are ...

An iterative machine learning approach has identified elusive 800 million-year-old amino acid patterns that are responsible for facilitating protein interactions. Leucine-aspartic acid (LD) motifs are ...

The ability to accurately integrate proteins into signaling pathways is critical for functional annotation of genome sequences, as well as for understanding the relevance of known and newly discovered ...

We applied the framework of activity motifs to study the dynamics of regulation of gene expression in the metabolic network in S. cerevisiae. Using our systematic analysis, we identified abundant ...

Physical principles can be incorporated in a machine learning architecture as a fundamental setup to develop artificial intelligence for inorganic materials. In a new report now on Science Advances, ...