The same mutation can have different effects in different individuals. One important reason
for this is that the outcome of a mutation can depend on the genetic context in which it …

Biological functions of RNA molecules are dependent upon sustained specific three-
dimensional (3D) structures of RNA, with or without the help of proteins. Understanding of …

Recent breakthroughs have used deep learning to exploit evolutionary information in
multiple sequence alignments (MSAs) to accurately predict protein structures. However …

The discovery of drivers of cancer has traditionally focused on protein-coding genes,,–. Here
we present analyses of driver point mutations and structural variants in non-coding regions …

The functions of proteins and RNAs are defined by the collective interactions of many
residues, and yet most statistical models of biological sequences consider sites nearly …

Predicting RNA three-dimensional structures from sequence could accelerate
understanding of the growing number of RNA molecules being discovered across biology …

Many functional RNAs have an evolutionarily conserved secondary structure. Conservation
of RNA base pairing induces pairwise covariations in sequence alignments. We developed …

Coevolutionary sequence analysis has become a commonly used technique for de novo
prediction of the structure and function of proteins, RNA, and protein complexes. We present …

We describe an experimental method of three-dimensional (3D) structure determination that
exploits the increasing ease of high-throughput mutational scans. Inspired by the success of …

Determining the three-dimensional structures of macromolecules is a major goal of
biological research, because of the close relationship between structure and function; …