Chronic respiratory disease in low-income and middle-income countries: From challenges to solutions

In 2019, the British Thoracic Society (BTS) launched a Global Health Group in partnership with the Pan African Thoracic Society (PATS). Each year, this group proposes a symposium at the BTS Winter meeting exploring issues of respiratory disease and care which are most relevant to respiratory health across the life course in low- and middle-income countries (LMICs). The first symposium, offered in February 2021, described the burden of five key respiratory exposures/diseases of interest in LMICs, including childhood pneumonia, air pollution, post-TB lung diseases, asthma, and chronic obstructive pulmonary disease, and a summary of the discussion has previously been published in the PATS journal. The second symposium, conducted in November 2021, discussed barriers to the management of chronic respiratory diseases (CRDs) in LMICs, with perspectives presented from Malaysia, The Gambia, Kenya, and sub-Saharan Africa more broadly. These presentations highlighted the challenges of chronic respiratory care in LMICs, while a presentation from the World Health Organization (WHO) officer for CRDs described the role and remit of the WHO in providing leadership and guidance in this area. A summary of this second symposium is presented here, and we discuss the pathways from challenges to solutions for CRD care in low- and middle-income countries

The PubChem chemical structure sketcher

PubChem is an important public, Web-based information source for chemical and bioactivity information. In order to provide convenient structure search methods on compounds stored in this database, one mandatory component is a Web-based drawing tool for interactive sketching of chemical query structures. Web-enabled chemical structure sketchers are not new, being in existence for years; however, solutions available rely on complex technology like Java applets or platform-dependent plug-ins. Due to general policy and support incident rate considerations, Java-based or platform-specific sketchers cannot be deployed as a part of public NCBI Web services. Our solution: a chemical structure sketching tool based exclusively on CGI server processing, client-side JavaScript functions, and image sequence streaming. The PubChem structure editor does not require the presence of any specific runtime support libraries or browser configurations on the client. It is completely platform-independent and verified to work on all major Web browsers, including older ones without support for Web2.0 JavaScript objects

Chronic respiratory disease in low-income and middle-income countries: From challenges to solutions

In 2019, the British Thoracic Society (BTS) launched a Global Health Group in partnership with the Pan African Thoracic Society (PATS). Each year, this group proposes a symposium at the BTS Winter meeting exploring issues of respiratory disease and care which are most relevant to respiratory health across the life course in low- and middle-income countries (LMICs). The first symposium, offered in February 2021, described the burden of five key respiratory exposures/diseases of interest in LMICs, including childhood pneumonia, air pollution, post-TB lung diseases, asthma, and chronic obstructive pulmonary disease, and a summary of the discussion has previously been published in the PATS journal. The second symposium, conducted in November 2021, discussed barriers to the management of chronic respiratory diseases (CRDs) in LMICs, with perspectives presented from Malaysia, The Gambia, Kenya, and sub-Saharan Africa more broadly. These presentations highlighted the challenges of chronic respiratory care in LMICs, while a presentation from the World Health Organization (WHO) officer for CRDs described the role and remit of the WHO in providing leadership and guidance in this area. A summary of this second symposium is presented here, and we discuss the pathways from challenges to solutions for CRD care in low- and middle-income countries

PubChem3D: Similar conformers

<p>Abstract</p> <p>Background</p> <p>PubChem is a free and open public resource for the biological activities of small molecules. With many tens of millions of both chemical structures and biological test results, PubChem is a sizeable system with an uneven degree of available information. Some chemical structures in PubChem include a great deal of biological annotation, while others have little to none. To help users, PubChem pre-computes "neighboring" relationships to relate similar chemical structures, which may have similar biological function. In this work, we introduce a "Similar Conformers" neighboring relationship to identify compounds with similar 3-D shape and similar 3-D orientation of functional groups typically used to define pharmacophore features.</p> <p>Results</p> <p>The first two diverse 3-D conformers of 26.1 million PubChem Compound records were compared to each other, using a shape Tanimoto (ST) of 0.8 or greater and a color Tanimoto (CT) of 0.5 or greater, yielding 8.16 billion conformer neighbor pairs and 6.62 billion compound neighbor pairs, with an average of 253 "Similar Conformers" compound neighbors per compound. Comparing the 3-D neighboring relationship to the corresponding 2-D neighboring relationship ("Similar Compounds") for molecules such as caffeine, aspirin, and morphine, one finds unique sets of related chemical structures, providing additional significant biological annotation. The PubChem 3-D neighboring relationship is also shown to be able to group a set of non-steroidal anti-inflammatory drugs (NSAIDs), despite limited PubChem 2-D similarity.</p> <p>In a study of 4,218 chemical structures of biomedical interest, consisting of many known drugs, using more diverse conformers per compound results in more 3-D compound neighbors per compound; however, the overlap of the compound neighbor lists per conformer also increasingly resemble each other, being 38% identical at three conformers and 68% at ten conformers. Perhaps surprising is that the average count of conformer neighbors per conformer increases rather slowly as a function of diverse conformers considered, with only a 70% increase for a ten times growth in conformers per compound (a 68-fold increase in the conformer pairs considered).</p> <p>Neighboring 3-D conformers on the scale performed, if implemented naively, is an intractable problem using a modest sized compute cluster. Methodology developed in this work relies on a series of filters to prevent performing 3-D superposition optimization, when it can be determined that two conformers cannot possibly be a neighbor. Most filters are based on Tanimoto equation volume constraints, avoiding incompatible conformers; however, others consider preliminary superposition between conformers using reference shapes.</p> <p>Conclusion</p> <p>The "Similar Conformers" 3-D neighboring relationship locates similar small molecules of biological interest that may go unnoticed when using traditional 2-D chemical structure graph-based methods, making it complementary to such methodologies. The computational cost of 3-D similarity methodology on a wide scale, such as PubChem contents, is a considerable issue to overcome. Using a series of efficient filters, an effective throughput rate of more than 150,000 conformers per second per processor core was achieved, more than two orders of magnitude faster than without filtering.</p

PubChem3D: Diversity of shape

<p>Abstract</p> <p>Background</p> <p>The shape diversity of 16.4 million biologically relevant molecules from the PubChem Compound database and their 1.46 billion diverse conformers was explored as a function of molecular volume.</p> <p>Results</p> <p>The diversity of shape space was investigated by determining the shape similarity threshold to achieve a maximum on the count of reference shapes per unit of conformer volume. The rate of growth in shape space, as represented by a decreasing shape similarity threshold, was found to be remarkably smooth as a function of volume. There was no apparent correlation between the count of conformers per unit volume and their diversity, meaning that a single reference shape can describe the shape space of many chemical structures. The ability of a volume to describe the shape space of lesser volumes was also examined. It was shown that a given volume was able to describe 40-70% of the shape diversity of lesser volumes, for the majority of the volume range considered in this study.</p> <p>Conclusion</p> <p>The relative growth of shape diversity as a function of volume and shape similarity is surprisingly uniform. Given the distribution of chemicals in PubChem versus what is theoretically synthetically possible, the results from this analysis should be considered a conservative estimate to the true diversity of shape space.</p

Diffusion-Limited Growth of Microbial Colonies.

The emergence of diffusion-limited growth (DLG) within a microbial colony on a solid substrate is studied using a combination of mathematical modelling and experiments. Using an agent-based model of the interaction between microbial cells and a diffusing nutrient, it is shown that growth directed towards a nutrient source may be used as an indicator that DLG is influencing the colony morphology. A continuous reaction-diffusion model for microbial growth is employed to identify the parameter regime in which DLG is expected to arise. Comparisons between the model and experimental data are used to argue that the bacterium Bacillus subtilis can undergo DLG, while the yeast Saccharomyces cerevisiae cannot, and thus the non-uniform growth exhibited by this yeast must be caused by the pseudohyphal growth mode rather than limited nutrient availability. Experiments testing directly for DLG features in yeast colonies are used to confirm this hypothesis

Hospitalizations for Pandemic (H1N1) 2009 among Maori and Pacific Islanders, New Zealand

Community transmission of influenza A pandemic (H1N1) 2009 was followed by high rates of hospital admissions in the Wellington region of New Zealand, particularly among Maori and Pacific Islanders. These findings may help health authorities anticipate the effects of pandemic (H1N1) 2009 in other communities