Evaluation of Myocilin Variant Protein Structures Modeled by AlphaFold2.

ABSTRACT: Deep neural network-based programs can be applied to protein structure modeling by inputting amino acid sequences. Here, we aimed to evaluate the AlphaFold2-modeled myocilin wild-type and variant protein structures and compare to the experimentally determined protein structures. Molecular dynamic and ligand binding properties of the experimentally determined and AlphaFold2-modeled protein structures were also analyzed. AlphaFold2-modeled myocilin variant protein structures showed high similarities in overall structure to the experimentally determined mutant protein structures, but the orientations and geometries of amino acid side chains were slightly different. The olfactomedin-like domain of the modeled missense variant protein structures showed fewer folding changes than the nonsense va

SUBMITTER: Ng TK 

PROVIDER: S-EPMC10813463 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature