dentification of intrinsically disordered regions in hub genes of acute myeloid leukemia: a bioinformatics approach

Acute myeloid leukemia (AML) is the most common acute leukemia in adults. Over the past decades, there has been a great challenge in the treatment of AML. A combination of gene expression profiling with computational approaches can lead to the identification of hub genes in AML. However, it is important to study the structure of these hub genes considering their importance in the protein-protein interaction (PPI) network of specific cancer. In this study, we designed an integrated method to analyze the presence of intrinsically disordered regions (IDRs) in selected hub genes of AML. A gene expression profile of AML was obtained from gene expression omnibus (GEO) database. Further analysis identified differentially expressed genes in AML. Additionally, the top 15 hub genes following construction and analysis of the PPI-network of differentially expressed genes (DEGs) were selected. Validation of hub genes revealed that there is a reverse relationship between overexpression of FLT3, PPBP, and PF4 genes and the survival of AML patients. Based on IDRs investigation, FLT3 and PF4 are partially disordered, while PPBP is mostly disordered. Through clustering the network into structural modules, we identified two important modules in the PPI-network of DEGs that showed the important position of PPBP in module 1. Based on further analysis of protein flexibility and its important role in biological processes, we suggest that PPBP can be considered as a potential drug target in AML. This article is protected by copyright. All rights reserved.