Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Integrating multi-type features and knowledge graph for graded prediction of drug-induced liver injury in humans
Druginduced liver toxicity poses a threat to human health and remains a significant reason for drug withdrawal from the market Therefore early identification of druginduced liver injury DILI during drug development is crucial However
Tissue-specific Transfer Learning Improves Functional Variant and Therapeutic Target Discoveries in Breast and Prostate Cancer
DNA foundation models trained on largescale genomic and epigenetic datasets have shown promise for regulatory variant interpretation yet their application to tissuespecific contexts remain limited
DNA Oligonucleotides Block Viral Entry of SARS-CoV-2 Omicron Variants
Successful viruses including SARSCoV antagonize and evade immune detection to establish infection As population immunity to the ancestral strain has risen new variantsparticularly Omicron
Challenges and Progress in RNA Velocity: Comparative Analysis Across Multiple Biological Contexts
Singlecell RNA sequencing is revolutionizing our understanding of cell state dynamics allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint Among the computational
Supervised Deep Learning with Gene Functional Annotation for Cell Classification
Genebygene differential expression analysis is a widely used supervised approach for interpreting singlecell RNAsequencing scRNAseq data However modern scRNAseq datasets often contain
Fung-AI: An AI/ML-driven Pipeline for Antifungal Peptide Discovery
Emerging fungal pathogens represent a concerning threat to both global health and food security In this study we aimed to address our rising vulnerability to fungal pathogens through the development
Combining Machine Learning and Iterative Experiments to keep pace with Emerging Viral Variants of Concern
Modeling and predicting viral mutations before they emerge plays a crucial role in pandemic preparedness enabling the early identification of emerging variants of concern VOCs and guiding timely updates
Heterogeneous Biological Graph Convolutional Network for Drug-target Interaction Prediction
Drugtarget interaction prediction plays a critical role in drug discovery by identifying potential therapeutic targets and elucidating underlying molecular mechanisms Howeve
Exploring Hypoxia-related Genes as Prognostic Indicators in Lung Adenocarcinoma
Lung adenocarcinoma LUAD is a leading cause of cancerrelated mortality with hypoxia contributing to tumor progression
Mapping Metabolic Reprogramming in Lung and Breast Cancer Through Integrative Bioinformatics
Metabolic reprogramming is central to cancer biology enabling tumor cells to sustain rapid proliferation resist stress and adapt to therapy However these alterations are highly heterogeneous across cancer types
