Toward enhancing drug discovery and development research using AlphaFold

Abstract

Approaches applied for protein structure prediction are roughly divided into two categories: deductive and inductive. The effectiveness of inductive approaches, including AlphaFold, has stood out to date because the patterns of protein structures, the so-called fold or topology, are expected to be limited. In this review, we introduce and outline AlphaFold, which has recently emerged from the recent increase in datasets of protein sequences and structures. In addition, we discuss their effects on drug discovery and development.