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.
A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks
Metabolism underpins the pathogenic strategy of the causative agent of TB Mycobacterium tuberculosis Mtb and therefore metabolic pathways have recently reemerged as attractive drug targets A powerful approach to study Mtb metabolism as a whole
Benchmarking Predictions of MHC Class I Restricted T Cell Epitopes in a Comprehensively Studied Model System
T cell epitope candidates are commonly identified using computational prediction tools in order to enable applications such as vaccine design cancer neoantigen identification development of diagnostics and removal of unwanted immune responses against protein therapeutics
In Silico Analysis of Hypoxia Activated Prodrugs in Combination with Anti Angiogenic Therapy through Nanocell Delivery
Tumour hypoxia is a wellstudied phenomenon with implications in cancer progression treatment resistance and patient survival While a clear adverse prognosticator hypoxia is also a theoretically ideal target for guided drug delivery
Balance between Asymmetry and Abundance in Multi-Domain DNA-Binding Proteins may Regulate the Kinetics of their Binding to DNA
DNA sequences are often recognized by multidomain proteins that may have higher affinity and specificity than singledomain proteins However the higher affinity to DNA might be coupled with slower recognition kinetics In this study we address this balance between stability and kinetics for multidomain CysHis CH type zincfinger ZF proteins
Predicting Host Taxonomic information from Viral Genomes: A comparison of Feature Representations
The rise in metagenomics has led to an exponential growth in virus discovery However the majority of these new virus sequences have no assigned host Current machine learning approaches to predicting virus host interactions have a tendency
Network Mechanisms and Dysfunction within an Integrated Computational Model of Progression through Mitosis in the Human Cell Cycle
The cellular proteinprotein interaction network that governs cellular proliferation cell cycle is highly complex Here we have developed a novel computational model of human mitotic cell cycle integrating diverse cellular mechanisms
3D Mesh Processing using GAMer 2 to enable Reaction-Diffusion Simulations in Realistic Cellular Geometries
Recent advances in electron microscopy have enabled the imaging of single cells in D at nanometer length scale resolutions An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed geometries
The Research and Development Process for Multiscale Models of Infectious Disease Systems
Multiscale modelling of infectious disease systems falls within the domain of complexity sciencethe study of complex systems However what should be made clear is that current progress in multiscale modelling of infectious disease dynamics is still as yet insufficient to present it as a mature subdiscipline of complexity science
Chromatin-enriched RNAs mark active and repressive cis-regulation: An analysis of nuclear RNA-seq
Long noncoding RNAs lncRNAs localize in the cell nucleus and influence gene expression through a variety of molecular mechanisms Chromatinenriched RNAs cheRNAs are a unique class of lncRNAs that are tightly bound to chromatin and putatively function
Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional Data
Abstract Introduction The molecular underpinnings of the dissociation of cognitive performance and neuropathological burden are poorly understood and there are currently no known genetic or epigenetic determinants of the dissociation Methods and findings Residual cognition was quantified by regressing out the effects of cerebral patholo...
