Characterizing the three-dimensional structure of macromolecules is central to
understanding their function. Traditionally, structures of proteins and their complexes have …

Natural helical bundles (HBs) constitute a ubiquitous class of protein folds built of two or
more longitudinally arranged α-helices. They adopt topologies that include symmetric, highly …

Protein therapeutics frequently face major challenges, including complicated production,
instability, poor solubility, and aggregation. De novo protein design can readily address …

In protein design, the energy associated with a huge number of sequence-conformer
perturbations has to be routinely estimated. Hence, enhancing the throughput and accuracy …

Algorithms for computational protein design usually begin with a 3D structure and design an
amino acid sequence that will fold into that structure. Since intrinsically disordered protein …

The growing importance of protein design to various research disciplines motivates the
development of integrative computational platforms that enhance the accessibility and …

Enhancing the efficacy of cytokine-based therapies by systematically tuning how an agonist
associates its receptor is emerging as a powerful new concept in drug discovery. De novo …

Across the biomanufacturing industry, innovations are needed to improve efficiency and
flexibility, especially in the face of challenges such as the COVID-19 pandemic. Here we …

Protein structures provide for defined microenvironments that can support complex
pharmacological functions, otherwise unachievable by small molecules. The advent of …

Protein-based drugs are becoming increasingly important both therapeutically and
economically. However, these drugs are complex and costly to manufacture, making them …