Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins.

ABSTRACT: Protein therapeutics play an important role in controlling the functions and activities of disease-causing proteins in modern medicine. Despite protein therapeutics having several advantages over traditional small-molecule therapeutics, further development has been hindered by drug complexity and delivery issues. However, recent progress in deep learning-based protein structure prediction approaches, such as AlphaFold2, opens new opportunities to exploit the complexity of these macro-biomolecules for highly specialised design to inhibit, regulate or even manipulate specific disease-causing proteins. Anti-CRISPR proteins are small proteins from bacteriophages that counter-defend against the prokaryotic adaptive immunity of CRISPR-Cas systems. They are unique examples of natural protein ther

SUBMITTER: Park HM 

PROVIDER: S-EPMC8949011 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature