Proteins are the molecular machinery of the human body, and their malfunctioning is often
responsible for diseases, making them crucial targets for drug discovery. The three …

The drug discovery process involves designing compounds to selectively interact with their
targets. The majority of therapeutic targets for low molecular weight (small molecule) drugs …

Computational prediction of protein structure has been pursued intensely for decades,
motivated largely by the goal of using structural models for drug discovery. Recently …

Determining the three-dimensional structure of proteins in their native functional states has
been a longstanding challenge in structural biology. While integrative structural biology has …

Protein structure prediction is a way to bridge the sequence-structure gap, one of the main
challenges in computational biology and chemistry. Predicting any protein's accurate …

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

To the Editor—Seeing is believing: the recent development of AlphaFold 1, 2 allows protein-
structure prediction with vastly enhanced accuracy that eclipses that of all past methods and …

Protein structure prediction has become extremely accurate, and its results are now
comparable with those of experimental methods for a large number of proteins. However …

The function of proteins can often be inferred from their three-dimensional structures.
Experimental structural biologists spent decades studying these structures, but the …

AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …