The AlphaFold2 results in the 14th edition of Critical Assessment of Structure Prediction
(CASP14) showed that accurate (low root-mean-square deviation) in silico models of protein …

The breakthrough recently made in protein structure prediction by deep-learning programs
such as AlphaFold and RoseTTAFold will certainly revolutionize biology over the coming …

AlphaFold2 is a machine-learning based program that predicts a protein structure based on
the amino acid sequence. In this article, we report on the current usages of this new tool and …

Crystallographers have an array of search-model options for structure solution by molecular
replacement (MR). The well established options of homologous experimental structures and …

Highly accurate protein structure prediction can generate accurate models of protein and
protein–protein complexes in X-ray crystallography. However, the question of how to make …

The sialidases, which catalyze the hydrolysis of sialic acid from extracellular
glycoconjugates, are a group of major virulence factors in various pathogenic bacteria. In …

With the advent of next generation modelling methods, such as AlphaFold2, structural
biologists are increasingly using predicted structures as search models for Molecular …

The sialidases, which catalyze the hydrolysis of sialic acid from extracellular
glycoconjugates, are a group of major virulence factors in various pathogenic bacteria. In …