Conformational Angles Database (CADB-3.0)

Transitions in amino-acid conformation angles tend to accompany various structural modifications in protein structures. Thus, to benefit the modeling of protein structures, the Conformation Angles DataBase (CADB-3.0) has been updated to visualize the conformational angles in varied regions (fully, generously, additionally and disallowed regions). In addition, options are provided to display the angles in the secondary structural elements (\alpha-helix, \beta-sheet and 310-helix) of the Ramachandran plot. The database is being updated periodically and can be accessed over the World Wide Web at the following URL: http://cluster.physics.iisc.ernet.in/cadb/

Cough sounds

Cough is an important protective reflex that is essential to protect the airways yet can also signify disease as a symptom of airway disease. It is the most common symptom that results in new medical consultations at least in regions where data is available. Both children and adults can cough for a myriad of reasons. This ranges from cough associated with simple viral infections to cough secondary to serious airway or lung disorders. Consequently evaluating causes of cough can be quite challenging. The mechanism of cough involves the central and peripheral neural systems, muscular and airway mechanisms. The sound of cough is influenced by various physiological factors such as age and sex and by pathological factors such as muscle weakness, airway obstruction and excessive mucus production. This chapter briefly reviews factors influencing cough sounds and recorders. As cough is a cardinal symptom of airway diseases and many respiratory illnesses, a description of typical cough quality in various respiratory conditions is provided. We also briefly discuss the availability and developments in software, apps and cough measurement devices that unfold a new exciting field of study and research in our era of advancing technology

Mortality, morbidity, and hospitalisations due to influenza lower respiratory tract infections, 2017 : an analysis for the Global Burden of Disease Study 2017

CITATION: Troeger, C. E., et al. 2019. Mortality, morbidity, and hospitalisations due to influenza lower respiratory tract infections, 2017 : an analysis for the Global Burden of Disease Study 2017. Lancet Respiratory Medicine, 7(1):69-89, doi:10.1016/S2213-2600(18)30496-X.The original publication is available at https://www.thelancet.comBackground: Although the burden of influenza is often discussed in the context of historical pandemics and the threat of future pandemics, every year a substantial burden of lower respiratory tract infections (LRTIs) and other respiratory conditions (like chronic obstructive pulmonary disease) are attributable to seasonal influenza. The Global Burden of Disease Study (GBD) 2017 is a systematic scientific effort to quantify the health loss associated with a comprehensive set of diseases and disabilities. In this Article, we focus on LRTIs that can be attributed to influenza. Methods We modelled the LRTI incidence, hospitalisations, and mortality attributable to influenza for every country and selected subnational locations by age and year from 1990 to 2017 as part of GBD 2017. We used a counterfactual approach that first estimated the LRTI incidence, hospitalisations, and mortality and then attributed a fraction of those outcomes to influenza. Findings Influenza LRTI was responsible for an estimated 145 000 (95% uncertainty interval [UI] 99 000–200 000) deaths among all ages in 2017. The influenza LRTI mortality rate was highest among adults older than 70 years (16·4 deaths per 100 000 [95% UI 11·6–21·9]), and the highest rate among all ages was in eastern Europe (5·2 per 100 000 population [95% UI 3·5–7·2]). We estimated that influenza LRTIs accounted for 9 459 000 (95% UI 3 709 000–22 935 000) hospitalisations due to LRTIs and 81 536 000 hospital days (24 330 000–259 851 000). We estimated that 11·5% (95% UI 10·0–12·9) of LRTI episodes were attributable to influenza, corresponding to 54 481 000 (38 465 000–73 864 000) episodes and 8 172 000 severe episodes (5 000 000–13 296 000). Interpretation This comprehensive assessment of the burden of influenza LRTIs shows the substantial annual effect of influenza on global health. Although preparedness planning will be important for potential pandemics, health loss due to seasonal influenza LRTIs should not be overlooked, and vaccine use should be considered. Efforts to improve influenza prevention measures are needed.https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(18)30496-X/fulltext#%20Publisher's versio