Current Bioinformatics - Volume 17, Issue 8, 2022

Background: Rheumatoid Arthritis (RA) is more common in those who have specific genetic types of Human Leukocyte Antigen (HLA). One of the most important genetic risk factors for RA lies in the HLA-DRB1 locus. Objective: This review aimed to determine which HLA-DRB1 alleles were associated with the risk of RA per allele and phenotype group. Methods: Statistical analyses were performed using RevMan version 5.4.1. Read More

Background: Hepatocellular Carcinoma (HCC) is associated with high mortality rates and requires the identification of new therapeutic targets. We sought to develop a nomogram for reliably predicting HCC prognosis. Methods: Gene expression was analyzed in R software, while the hub genes were defined as overlapping candidates across five datasets. A prognostic nomogram was constructed using multivariate Cox analysis a Read More

Background: The design of novel drugs is vital to combat fatal diseases such as Alzheimer’s. With quantum advances in computational methods, artificial intelligence (AI) techniques have been widely utilized in drug discovery. Since drug design is a protracted and resource-intensive process, extensive research is necessary for building predictive in-silico models to discover new medications for Alzheimer’s. A thorough analysis Read More

Background: Proteases regulate cell proliferation, cell growth, biological processes, and overall homeostasis. Several proteases are extensively annotated and well-characterized in pathogenic organisms such as bacteria, parasites, and microbial species as anti-bacterial, anti-parasitic and antimicrobial. Several of these proteins are being explored as viable targets for various drug discovery researches in various microbial d Read More

Background: Long noncoding RNAs (LncRNAs) represent a large category of functional RNA molecules that play a significant role in human cancers. lncRNAs can be gene modulators to affect the biological process of multiple cancers. Methods: Here, we developed a computational framework that uses the lncRNA-mRNA network and mutations in individual genes of 9 cancers from TCGA to prioritize cancer lncRNA modulators. Read More

Background: Wujiayizhi granule (WJYZG) is a kind of traditional Chinese medicine, which is used for treating Alzheimer's disease (AD). Although the clinical effect of WJYZG for AD is obvious, its underlying mechanism is still obscure. Objective: Explore the mechanism of WJYZG in the treatment of AD by using bioinformatics methods. Methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TC Read More

Background: Oral cavity cancer (OCC) is one of the most common carcinoma diseases. Recent genome-wide association studies (GWAS) have reported numerous genetic variants associated with OCC susceptibility. However, the regulatory mechanisms of these genetic variants underlying OCC remain largely unclear. Objective: This study aimed to identify OCC-related genetics risk genes contributing to the prognosis of OCC Read More

Background: The odors we perceive are primarily the result of a mixture of odorants. There can be one or multiple odors associated with an odorant. Several studies have attempted to link odorant physicochemical properties to specific olfactory perception; however, no universal rule that can determine how and to what extent molecular properties affect odor perception exists. Objective: This study aims to identify importa Read More

Background: Connecting genes to phenotypes is still a great challenge in genetics. Research related to gene-phenotype associations has made remarkable progress recently due to high-throughput sequencing technology and genome-wide association study (GWAS). However, these genes, which are considered to be significantly associated with a target phenotype according to traditional GWAS, are less precise or subject to Read More