Highlights•AlphaFold models have rigid protein structures.•Advanced deep algorithms fed
relevant data can accurately predict structures.•Algorithmic advances can harness …

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 …

What does AlphaFold mean for drug discovery? - Document - Gale Academic OneFile Use this
link to get back to this page. Copy Skip to Content Library Menu: Google Scholar Discovery …

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 …

Currently, there are two types of drugs on the market: orthosteric, which bind at the active
site; and allosteric, which bind elsewhere on the protein surface, and allosterically change …

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

Efficient identification of drug mechanisms of action remains a challenge. Computational
docking approaches have been widely used to predict drug binding targets; yet, such …

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 …

The question of how allostery works was posed almost 50 years ago. Since then it has been
the focus of much effort. This is for two reasons: first, the intellectual curiosity of basic science …