AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-
dimensional models of the whole human proteome to the scientific community. Here we …

Abstract The Protein Data Bank (PDB)––the single global repository of experimentally
determined 3D structures of biological macromolecules and their complexes––was …

Deep-learning methods have revolutionized protein structure prediction and design but are
presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which …

These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

Cellular processes often depend on interactions between proteins and the formation of
macromolecular complexes. The impairment of such interactions can lead to deregulation of …

Abstract SWISS-MODEL Repository (SMR) is a database of annotated 3D protein structure
models generated by the automated SWISS-MODEL homology modeling pipeline. It …

From a technical point of view a flow cytometer is a light detection device capable of
detecting photons of different wavelengths over a high dynamic range. In order to achieve a …

Motivation Protein contacts contain key information for the understanding of protein structure
and function and thus, contact prediction from sequence is an important problem. Recently …

The traditional computational modeling of protein structure, dynamics, and interactions
remains difficult for many protein systems. It is mostly due to the size of protein …

Homology modeling is one of the computational structure prediction methods that are used
to determine protein 3D structure from its amino acid sequence. It is considered to be the …