Current Bioinformatics - Volume 16, Issue 7, 2021

Objective: Benign Prostatic Hyperplasia (BPH) is a common disease prevalent in elderly men, but the genetic determinants of BPH still remain unclear. Since metabolic syndrome, especially diabetes, may influence the progression of benign prostatic hyperplasia, we investigated whether susceptibility loci for diabetes would increase the risk of BPH development and progression in elderly Chinese men. Material and Method Read More

Background: Liver cancer is one of the most deadly malignancies worldwide. Tumor metastasis is the main cause of liver cancer-related death. So far, the mechanism of liver cancer metastasis is far away from fully elucidated. In this study, we aimed to discover key regulators involved in liver cancer metastasis by data mining. Methods: Two different types of data, including mRNA microarray (GSE6222 and GSE6764) and miRN Read More

Aim: To search the genes related to the mechanisms of the occurrence of glioma and to try to build a prediction model for glioblastomas. Background: The morbidity and mortality of glioblastomas are very high, which seriously endanger human health. At present, the goals of many investigations on gliomas are mainly to understand the cause and mechanism of these tumors at the molecular level and to explore clini Read More

Background: Recent studies revealed that the hypoglycemic hormone, glucagon-like peptide-1 (GLP-1), acted as an important modulator in osteogenesis of bone marrow derived mesenchymal stem cells (BMSCs). Objectives: The aim of this study was to identify the specific microRNA (miRNA) using bioinformatics analysis and validate the presence of differentially expressed microRNAs with their target genes after GLP- Read More

Background: An improved comprehension of the oral microbiota function in the pathogenesis of disease will contribute to the diagnosis and treatment of both hypertension and periodontal disease. In our study, a comparison of the salivary microbiome between hypertension and Non-hypertension cohorts was designed to reveal microbial signatures. Methods: Patients were divided into four sub-groups: Gingivitis, and P Read More

Deep Learning (DL) is a novel type of Machine Learning (ML) model. It is showing an increasing promise in medicine, study and treatment of diseases and injuries, to assist in data classification, novel disease symptoms and complicated decision making. Deep learning is one of form of machine learning typically implemented via multi-level neural networks. This work discusses the pros and cons of using DL in clinical car Read More

Objective: The aim of this study was to screen for compounds with relatively high inhibitory activity on acetylcholinesterase. Methods: Classification models for acetylcholinesterase inhibitors based on KNN (1-nearest neighbors), and a quantitative prediction model based on support vector machine regression were used. The interaction of the compounds and receptors was analyzed using the molecular simulation method. Read More

Major animal diseases pose a great threat to animal husbandry and human beings. With the deepening of globalization and the abundance of data resources, the prediction and analysis of animal diseases by using big data are becoming more and more important. The focus of machine learning is to make computers how to learn from data and use the learned experience to analyze and predict. Firstly, this paper introduces the a Read More

Background: Heart failure (HF) is a leading cause of mortality rate worldwide, but studied less for its underlying biomolecular mechanisms. With the advances in gene sequence analysis, many non-coding RNAs, especially from long non-coding RNA (lncRNA) genre are found to be involved in regulating HF conditions. Recent studies are based on competing endogenous RNA (ceRNA) theory in which lncRNA-miRNA-mRNA comp Read More

Background: Metagenomics is the study of genomic content in mass from an environment of interest such as the human gut or soil. Taxonomy is one of the most important fields of metagenomics, which is the science of defining and naming groups of microbial organisms that share the same characteristics. The problem of taxonomy classification is the identification and quantification of microbial species or higher-level taxa s Read More

Background: Hepatocellular carcinoma (HCC) is a serious disease and is the third main cause of death in the world. Hepatitis B virus infection can lead to HCC. The virus introduces genetic material into the host, damages DNA, and interferes with the activity of the apoptotic and tumor suppressors to trigger the formation of an oncogene. However, most of these cases are discovered after cancer enters stage three or f Read More