Research Insights
The Research Insights area highlights recent advances in science and medicine as well as global laboratory research. Our readers gain tremendous benefit from research discoveries in an indirect manner.
An agent-based model of metabolic signaling oscillations in Bacillus subtilis biofilms
Microbes of nearly every species can form biofilms communities of cells bound together by a selfproduced matrix It is not understood how variation at the cellular level impacts putatively beneficial colonylevel behaviors
A meta-contrastive learning approach for clinical drug-drug interaction extraction from biomedical literature
Drugdrug interactions DDIs are a significant source of adverse drug events and pose critical challenges to patient safety and clinical decisionmaking Extracting DDIs from biomedical literature plays an essential role in pharmacovigilance
Drug-related stigma among people who inject drugs – development and validation of the drug use stigma scale (DUSS)
Drug use is a highly stigmatized behavior and drugrelated stigma is a key driver of behavioral risk lower health care utilization and associated adverse health outcomes among people who inject drugs PWID
Association between COVID-19 vaccination, SARS-CoV-2 variants, and post COVID-19 condition: A cross-sectional study
Individuals may experience persistent symptoms after recovering from coronavirus disease COVID a condition referred to as post COVID condition PCC Patientreported outcome measures PROMs evaluate a patients
Integrative multi-omics framework for causal gene discovery in Long COVID
Long COVID or PostAcute Sequelae of SARSCoV infection PASC affects an estimated of COVID patients and presents persistent multisystemic symptoms Although demographic and clinical factors
Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties
Cardiac fibrosis is a pathological condition associated with many cardiovascular diseases Atrial fibrosis leads to reduced atrial function resulting in diminished blood flow and an increased risk of stroke
Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies
Transcriptional regulation involves complex interactions with chromatinassociated proteins but disentangling these mechanistically remains challenging Here we generate deep learning models to predict RNA PolII occupancy
Discovery of C-12 dithiocarbamate andrographolide analogue as a novel antioxidant and α-glucosidase inhibitors: In vitro and in silico studies
Type diabetes mellitus TDM is a global health issue associated with oxidative stress inflammation and insulin resistance Even though glucosidase inhibitors such as acarbose are used in treatment their efficacy is limited by gastrointestinal side effects In this study
Complete molecular spectrum of β-globin gene mutations via direct sequencing identifies seven novel variants in β-thalassemia major
A common monogenic condition thalassemia is caused by a variety of mutations in the globin HBB gene It is essential to accurately characterize these mutations for genetic counselling diagnosis and treatment
Optimization-based framework with flux balance analysis (FBA) and metabolic pathway analysis (MPA) for identifying metabolic objective functions
Metabolic network modeling especially Flux Balance Analysis FBA plays a critical role in systems biology by providing insights into cellular behaviors Although FBA is the main tool for predicting flux distributions
