Cell-based therapeutics are an emerging modality with the potential to treat many currently
intractable diseases through uniquely powerful modes of action. Despite notable recent …

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 …

The prediction of protein three-dimensional structure from amino acid sequence has been a
grand challenge problem in computational biophysics for decades, owing to its intrinsic …

The Rosetta software for macromolecular modeling, docking and design is extensively used
in laboratories worldwide. During two decades of development by a community of …

Synthetic gene circuits that precisely control human cell function could expand the
capabilities of gene-and cell-based therapies. However, platforms for developing circuits in …

The computational de novo protein design is increasingly applied to address a number of
key challenges in biomedicine and biological engineering. Successes in expanding …

Native mass spectrometry (nMS) has emerged as an important tool in studying the structure
and function of macromolecules and their complexes in the gas phase. In this review, we …

Highlights⿢The recent use of deep learning has dramatically improved the accuracy of non-
homologous protein structure modeling.⿢Protein structure prediction problem was largely …

Proteins are molecular machines whose function depends on their ability to achieve
complex folds with precisely defined structural and dynamic properties. The rational design …

The design of modular protein logic for regulating protein function at the posttranscriptional
level is a challenge for synthetic biology. Here, we describe the design of two-input AND …