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 …

The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and
accurate protein structure prediction, powered by deep learning and Rosetta. With the input …

Three-dimensional protein structure is directly correlated with its function and its
determination is critical to understanding biological processes and addressing human …

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 …

Ribosome profiling has revealed pervasive but largely uncharacterized translation outside of
canonical coding sequences (CDSs). In this work, we exploit a systematic CRISPR-based …

Computational methods for protein structure modelling are routinely used to complement
experimental structure determination, thus they help to address a broad spectrum of …

Computer-aided drug design (CADD) is an emerging field that has drawn a lot of interest
because of its potential to expedite and lower the cost of the drug development process …

Protein structure and function is determined by the arrangement of the linear sequence of
amino acids in 3D space. We show that a deep graph neural network, ProteinSolver, can …

Diabetes mellitus is one of the major health problems in the world, the incidence and
associated mortality are increasing. Inadequate regulation of the blood sugar imposes …

The multi-domain non-structural protein 3 (Nsp3) is the largest protein encoded by the
coronavirus (CoV) genome, with an average molecular mass of about 200 kD. Nsp3 is an …