Current Bioinformatics - Volume 18, Issue 9, 2023

With the rapid advancement in analyzing high-volume and complex data, machine learning has become one of the most critical and essential tools for classification and prediction. This study reviews machine learning (ML) and deep learning (DL) methods for the classification and prediction of biological signals. The effective utilization of the latest technology in numerous applications, along with various challenges and possible s Read More

Introduction: Tuberculosis has been studied as a potentially serious bacterial infection affecting the lung caused by Mycobacterium tuberculosis. In addition to its severe impact on health, resistance to existing drugs has also been seen as a rising concern in the space of medicinal solutions. Therapeutic peptides have the potential to complement existing drug designs to provide effective outcomes against Mycobacterium tub Read More

Background: Current identification of chronic myelogenous leukemia markers tends to mine diagnostic or prognostic biomarkers, ignoring susceptibility markers in normal samples. Objective: We aim to identify possible susceptibility markers for preventing chronic myelogenous leukemia. Methods: Functional links of H3K79me2 patterns and gene expression changes were inferred by correlation analyses. DNase-s Read More

Background: Metabolic chemical reaction is one of the main types of fundamental processes to maintain life. Generally, each reaction needs an enzyme. The metabolic pathway collects a series of chemical reactions at the system level. As compounds and enzymes are two important components in each metabolic pathway, identification of metabolic pathways that a given compound or enzyme can participate is the fir Read More

Background: COVID-19 is still widespread due to the rapidly mutating disposition of the virus, rendering vaccines and previously elicited antibodies ineffective in many cases. The integral membrane Envelope (E) protein which is 75 amino acid residues long, has also acquired several mutations. Objective: In this work, we have adopted a high-throughput approach incorporating patient gene expression patterns to identify drug re Read More

Introduction: The prevalence of childhood obesity has been increasing in recent decades, and epigenetics is a great process to detect the relationship between children’s obesity and their mothers’ obesity. To investigate the epigenetic connections of obesity between mother and child, we analyzed the saliva DNA methylation profiles from 96 mother-child families. The BMI of both mother and child was measured. Metho Read More