In Silico Structural Analysis Exploring Conformational Folding of Protein Variants in Alzheimer's Disease.

ABSTRACT: Accurate protein structure prediction using computational methods remains a challenge in molecular biology. Recent advances in AI-powered algorithms provide a transformative effect in solving this problem. Even though AlphaFold's performance has improved since its release, there are still limitations that apply to its efficacy. In this study, a selection of proteins related to the pathology of Alzheimer's disease was modeled, with Presenilin-1 (PSN1) and its mutated variants in the foreground. Their structural predictions were evaluated using the ColabFold implementation of AlphaFold, which utilizes MMseqs2 for the creation of multiple sequence alignments (MSAs). A higher number of recycles than the one used in the AlphaFold DB was selected, and no templates were used. In addition, predict

SUBMITTER: Efraimidis E 

PROVIDER: S-EPMC10487466 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature