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.
Data-driven Model Discovery and Model Selection for Noisy Biological Systems
Biological systems exhibit complex dynamics that differential equations can often adeptly represent Ordinary differential equation models are widespread until recently their construction has required extensive prior knowledge of the system Machine learning methods offer alternative means of model construction
Data-driven Discovery and Parameter Estimation of Mathematical Models in Biological Pattern Formation
Mathematical modeling has been utilized to explain biological pattern formation but the selections of models and parameters have been made empirically In the present study we propose a datadriven approach to validate the applicability of mathematical models
Mapping Genes for Human Face Shape: Exploration of Univariate Phenotyping Strategies
Human facial shape while strongly heritable involves both genetic and structural complexity necessitating precise phenotyping for accurate assessment Common phenotyping strategies include simplifying D facial features into univariate traits such as anthropometric measurements eg interlandmark distances unsupervised dimensionality reductions eg prin...
How Fast are Viruses Spreading in the Wild?
Genomic data collected from viral outbreaks can be exploited to reconstruct the dispersal history of viral lineages in a twodimensional space using continuous phylogeographic inference These spatially explicit reconstructions can subsequently be used to estimate dispersal metrics that can be informative of the dispersal dynamics and the capacity to...
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
