Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …

Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …

Proteins are essential to life, and understanding their structure can facilitate a mechanistic
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …

Structure prediction for proteins lacking homologous templates in the Protein Data Bank
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …

COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective
and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 …

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

The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …

Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, develo** drugs for central nervous system (CNS) disorders remains the most …

As the infection of 2019-nCoV coronavirus is quickly develo** into a global pneumonia
epidemic, the careful analysis of its transmission and cellular mechanisms is sorely needed …