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.
Systematic Benchmarking of Deep-learning Methods for Tertiary RNA Structure Prediction
The D structure of RNA critically influences its functionality and understanding this structure is vital for deciphering RNA biology Experimental methods for determining RNA structures are labourintensive expensive and timeconsuming Computational approaches have emerged as valuable tools leveraging physicsbasedprinciples and machine learning to pre...
SARS-CoV-2 Omicron Variations Reveal Mechanisms Controlling Cell Entry Dynamics and Antibody Neutralization
Severe Acute Respiratory Syndrome Coronavirus SARSCoV is adapting to continuous presence in humans Transitions to endemic infection patterns are associated with changes in the spike S proteins that direct viruscell entry These changes generate antigenic drift and thereby allow virus maintenance in the face of prevalent human antiviral antibodies
Functional Regression Clustering with Multiple Functional Gene Expressions
Gene expression data is often collected in time series experiments under different experimental conditions There may be genes that have very different gene expression profiles over time but that adjust their gene expression patterns in the same way under experimental conditions
Bioinformatic Characterization of ENPEP, the Gene Encoding a Potential Cofactor for SARS-CoV-2 Infection
Research on SARSCoV the viral pathogen that causes COVID has identified angiotensin converting enzyme ACE as the primary viral receptor Several genes that encode viral cofactors such as TMPRSS NRP CTSL and possibly KIM have since been discovered Glutamyl aminopeptidase APA encoded by the gene ENPEP is another cofactor candidate due to similarities...
Neutralizing Antibodies and Safety of a COVID-19 Vaccine Against SARS-CoV-2 Wild-type and Omicron Variants in Solid Cancer Patients
The aim of this study was to assess the seroconversion rate and percent inhibition of neutralizing antibodies against the wildtype and Omicron variants of SARSCoV in patients with solid cancer who received two COVID vaccine doses by comparing chemotherapy and nonchemotherapy groups
Integrative Omics Analysis Identifies Biomarkers of Septic Cardiomyopathy
Septic Cardiomyopathy SCM is a syndrome of acute cardiac dysfunction in septic patients unrelated to cardiac ischemia Multiomics studies including transcriptomics and proteomics have provided new insights into the mechanisms of SCM In here a rat model of SCM was established by intraperitoneal injection of lipopolysaccharide LPS
Machine Learning–based New Classification for Immune Infiltration of Gliomas
Glioma is a highly heterogeneous and poorly immunogenic malignant tumor with limited efficacy of immunotherapy The characteristics of the immunosuppressive tumor microenvironment TME are one of the important factors hindering the effectiveness of immunotherapy Therefore this study aims to reveal the immune microenvironment IME characteristics of gl...
GenerRNA: A Generative Pre-trained Language Model for de novo RNA Design
The design of RNA plays a crucial role in developing RNA vaccines nucleic acid therapeutics and innovative biotechnological tools However existing techniques frequently lack versatility across various tasks and are dependent on predefined secondary structure or other prior knowledge
SARS-CoV2 mRNA Vaccine Intravenous Administration Induces Myocarditis in Chronic Inflammation
The current COVID mRNA vaccines were developed and applied for pandemicemergent conditions These vaccines use a small piece of the viruss genetic material mRNA to stimulate an immune response against COVID
Prioritizing Disease-related Rare Variants by Integrating Gene Expression Data
Rare variants comprising the vast majority of human genetic variations are likely to have more deleterious impact in the context of human diseases compared to common variants Here we present carrier statistic a statistical framework to prioritize diseaserelated rare variants
