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.

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...

Clonal Evolutionary Analysis during HER2 Blockade in HER2-Positive Inflammatory Breast Cancer: A Phase II Open-Label Clinical Trial of Afatinib +/- Vinorelbine

Abstract Background Inflammatory breast cancer IBC is a rare aggressive form of breast cancer associated with HER amplification with high risk of metastasis and an estimated median survival of y We performed an openlabel singlearm phase II clinical trial ClinicalTrialsgov NCT to in

Priority-Setting for Novel Drug Regimens to Treat Tuberculosis: An Epidemiologic Model

Abstract Background Novel drug regimens are needed for tuberculosis TB treatment New regimens aim to improve on characteristics such as duration efficacy and safety profile but no single regimen is likely to be ideal in all respects By linking these regimen characteristics to a novel regimens ability