Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration

In this study, we present DeepTracer-Refine, an automated method that refines AlphaFold predicted structures by aligning them to DeepTracers modeled structure. Our method was evaluated on 39 multi-domain proteins and we improved the average residue coverage from 78.2 to 90.0% and average local Distance Difference Test score from 0.67 to 0.71. We also compared DeepTracer-Refine with Phenixs AlphaFold refinement and demonstrated that our method not only performs better when the initial AlphaFold model is less precise but also surpasses Phenix in run-time performance.PMID:38609330 | PMC:PMC11014792 | DOI:10.1093/bib/bbae118
Source: Briefings in Bioinformatics - Category: Bioinformatics Authors: Source Type: research