Over the past decade, we have observed a massive increase in the amount of information
describing protein sequences from a variety of organisms. 1, 2 While this may reflect the …

Breakthrough methods in machine learning (ML), protein structure prediction, and novel
ultrafast structural aligners are revolutionizing structural biology. Obtaining accurate models …

Proteins exhibit structural fluctuations over decades of time scales. From the picosecond
side chain motions to aggregates that form over the course of minutes, characterizing protein …

Introduction to Proteins provides a comprehensive and state-of-the-art introduction to the
structure, function, and motion of proteins for students, faculty, and researchers at all levels …

Highlights•The structural space explored by natural proteins is limited.•This raises questions:
what protein folds are possible, and how do we access them?•Parametric protein-design …

The study of molecular evolution at the level of protein-coding genes often entails comparing
large datasets of sequences to infer their evolutionary relationships. Despite the importance …

Although massive data is quickly accumulating on protein sequence and structure, there is a
small and limited number of protein architectural types (or structural folds). This study is …

Protein structure prediction has now been deployed widely across several different large
protein sets. Large-scale domain annotation of these predictions can aid in the development …

Echoing the repeated convergent evolution of flight and vision in large eukaryotes,
propulsive swimming motility has evolved independently in microbes in each of the three …

Refinement is the last step in protein structure prediction pipelines to convert approximate
homology models to experimental accuracy. Protocols based on molecular dynamics (MD) …