College
College of Sciences
Department
Computer Science
Graduate Level
Doctoral
Publication Date
4-2022
DOI
10.25883/23hv-g011
Abstract
Protein structure prediction produces atomic models from its amino acid sequence. Three-dimensional structures are important for understanding the function mechanism of proteins. Knowing the structure of a given protein is crucial in drug development design of novel enzymes. AlphaFold2 is a protein structure prediction tool with good performance in recent CASP competitions. Phenix is a tool for determination of a protein structure from a high-resolution 3D molecular image. Recent development of Phenix shows that it is capable to refine predicted models from AlphaFold2, specifically the poorly predicted regions, by incorporating information from the 3D image of the protein. The goal of this project is to understand the strengths and weaknesses of the approach that combines Phenix and AlphaFold2 using broader data. This analysis may provide insights for enhancement of the approach.
Keywords
Protein structure prediction, Refinement, Cryo-EM, AlphaFold2, Phenix.
Disciplines
Bioimaging and Biomedical Optics | Other Computer Sciences
Recommended Citation
Alshammari, Maytha; He, Jing; Wriggers, Willy; and Sun, Jiangwen, "Analysis of an Existing Method in Refinement of Protein Structure Predictions using Cryo-EM Images" (2022). College of Sciences Posters. 15.
https://digitalcommons.odu.edu/gradposters2022_sciences/15