Research Insights
The Research Insights section focuses on the latest breakthroughs in medicine and science, as well as the laboratory works around the world. Research insights directly from these labs add tremendous value to our readers.
The Aedesaegypti siRNA pathway mediates broad-spectrum defense against human pathogenic viruses and modulates antibacterial and antifungal defenses
The mosquitos innate immune system defends against a variety of pathogens and the conserved siRNA pathway plays a central role in the control of viral infections Here we show that transgenic overexpression of Dicer Dcr or Rd resulted in an accumulation of nucleotide viral sequences that was accompanied by a significant suppression of dengue virus
fingeRNAt—A novel tool for high-throughput analysis of nucleic acid-ligand interactions
Computational methods play a pivotal role in drug discovery and are widely applied in virtual screening structure optimization and compound activity profiling Over the last decades almost all the attention in medicinal chemistry has been directed to proteinligand binding and computational tools have been created with this target in mind With novel...
Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
Pulmonary drug delivery systems rely on inhalation of drugladen aerosols produced from aerosol generators such as inhalers nebulizers etc On deposition the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site The availability of the drug at a parti...
Computational prediction of potential inhibitors for SARS-COV-2 main protease based on machine learning, docking, MM-PBSA calculations, and metadynamics
The development of new drugs is a very complex and timeconsuming process and for this reason researchers have been resorting heavily to drug repurposing techniques as an alternative for the treatment of various diseases This approach is especially interesting when it comes to emerging diseases with high rates of infection because the lack of a quic...
Identification of host transcriptome-guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated bioinformatics approaches
Severe Acute Respiratory Syndrome Coronavirus SARSCoV is one of the most severe global pandemic due to its high pathogenicity and death rate starting from the end
Personalized Reimbursement Model (PRM) program: A real-world data platform of cancer drugs use to improve and personalize drug pricing and reimbursement in France
This article provides an overview of the Personalized Reimbursement Model PRM program in France highlighting its methodology limitations achievements and future prospects
A novel network based linear model for prioritization of synergistic drug combinations
Drug combination therapies can improve drug efficacy reduce drug dosage and overcome drug resistance in cancer treatments Current research strategies to determine which drug combinations have a synergistic effect rely mainly on clinical or empirical experience and screening predefined pools of drugs Given the number of possible drug combinations
Effect of common maintenance drugs on the risk and severity of COVID-19 in elderly patients
Maintenance drugs are used to treat chronic conditions Several classes of maintenance drugs have attracted attention because of their potential to affect susceptibility to and severity of COVID Using claims data on random sample of Part D Medicare enrollees from April to December we identified patients diagnosed with COVID Using a nested casecont...
Chloroquine and COVID-19—A systems biology model uncovers the drug’s detrimental effect on autophagy and explains its failure
The COVID pandemic caused by SARSCoV has resulted in an urgent need for identifying potential therapeutic drugs In the first half of tropic antimalarial drugs
Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs
Natural compounds constitute a rich resource of potential small molecule therapeutics While experimental access to this resource is limited due to its vast diversity and difficulties in systematic purification computational assessment of structural similarity with known therapeutic molecules offers a scalable approach Here we assessed functional si...
