Motivation: In recent years, development of a single-method fold-recognition server lags
behind consensus and multiple template techniques. However, a good consensus …

Recognizing the structural similarity without significant sequence identity (called fold
recognition) is the key for bridging the gap between the number of known protein sequences …

Motivation: Recognizing proteins that have similar tertiary structure is the key step of
template-based protein structure prediction methods. Traditionally, a variety of alignment …

In protein fold recognition, a probe amino acid sequence is compared to a library of
representative folds of known structure to identify a structural homolog. In cases where the …

We present a novel, continuous approach aimed at the large‐scale assessment of the
performance of available fold‐recognition servers. Six popular servers were investigated …

Structural and functional annotation of the large and growing database of genomic
sequences is a major problem in modern biology. Protein structure prediction by detecting …

Motivation: Homology detection enables grouping proteins into families and prediction of
their structure and function. The range of application of homology-based predictions can be …

Motivation: Protein fold recognition is an important approach to structure discovery without
relying on sequence similarity. We study this approach with new multi-class classification …

In fold recognition by threading one takes the amino acid sequence of a protein and
evaluates how well it fits into one of the known three-dimensional (3D) protein structures …

The aim of LiveBench is to provide a continuous evaluation of structure prediction servers to
inform developers and users about the current state‐of‐the‐art structure prediction tools …