To round up 2018, we asked our Expert panel to choose their top papers from across the year. Here, you can discover the articles they selected and read about and the reasons why!
A team from the Okinawa Institute of Science and Technology Graduate University has used cryo-EM to model the nucleocapsid protein of Ebola virus, potentially uncovering novel drug targets.
Financial modelling has been used to estimate the costs and likelihood of candidate medicines, vaccines, diagnostics and technologies launching, revealing gaps in the pipeline and in funding.
New research has suggested that better targeting of control measures to cholera hotspots, or around specific cases, could make anti-cholera efforts more effective.
Researchers have successfully identified the key climatic parameters for predicting dengue virus outbreaks by tracking disease progression through the different climatic zones of India.
A new mathematical modelling study has estimated the mortality rates of TB in the pediatric population, producing the first ever estimate for infants under 5 years of age.
The impact of climate change on infectious diseases in Europe has been assessed in the first large-scale study, with results suggesting the affects could be greater than previously thought.
Progression dynamics of Zika fever outbreak in El Salvador during 2015–2016: a mathematical modeling approach
In this research article the authors utilize mathematical modeling to investigate the effect of different parameters that affected mosquito-borne transmission of Zika virus during 2015–2016 outbreak in El Salvador.
Molecular modeling and structure–activity relationships for a series of benzimidazole derivatives as cruzain inhibitors
As part of the authors ongoing research efforts dedicated to the discovery of novel cruzain inhibitors, a series of benzimidazole derivatives was used to develop predictive 2D and 3D quantitative structure–activity relationship (QSAR) models.