About: High Throughput and Computational Repurposing for Neglected Diseases

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	High Throughput and Computational Repurposing for Neglected Diseases
Creator	Ekins, Sean Mottin, Melina Ashoura, Norah Soeung, Melinda Hernandez, Helen Zorn, Kimberley Andrade, Horta Caffrey, R Carolina, & Conor, & Lage De Siqueira-Neto, Jair
Source	Medline; PMC
abstract	PURPOSE: Neglected tropical diseases (NTDs) represent are a heterogeneous group of communicable diseases that are found within the poorest populations of the world. There are 23 NTDs that have been prioritized by the World Health Organization, which are endemic in 149 countries and affect more than 1.4 billion people, costing these developing economies billions of dollars annually. The NTDs result from four different causative pathogens: protozoa, bacteria, helminth and virus. The majority of the diseases lack effective treatments. Therefore, new therapeutics for NTDs are desperately needed. METHODS: We describe various high throughput screening and computational approaches that have been performed in recent years. We have collated the molecules identified in these studies and calculated molecular properties. RESULTS: Numerous global repurposing efforts have yielded some promising compounds for various neglected tropical diseases. These compounds when analyzed as one would expect appear drug-like. Several large datasets are also now in the public domain and this enables machine learning models to be constructed that then facilitate the discovery of new molecules for these pathogens. CONCLUSIONS: In the space of a few years many groups have either performed experimental or computational repurposing high throughput screens against neglected diseases. These have identified compounds which in many cases are already approved drugs. Such approaches perhaps offer a more efficient way to develop treatments which are generally not a focus for global pharmaceutical companies because of the economics or the lack of a viable market. Other diseases could perhaps benefit from these repurposing approaches. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11095-018-2558-3) contains supplementary material, which is available to authorized users.
has issue date	2018-12-17(xsd:dateTime)
bibo:doi	10.1007/s11095-018-2558-3
bibo:pmid	30560386
has license	no-cc
sha1sum (hex)	a028cf7f11cf5467f7f322c76fcd536304eae3ac
schema:url	https://doi.org/10.1007/s11095-018-2558-3
resource representing a document's title	High Throughput and Computational Repurposing for Neglected Diseases
has PubMed Central identifier	PMC6792295
has PubMed identifier	30560386
schema:publication	Pharm Res
resource representing a document's body	covid:a028cf7f11cf5467f7f322c76fcd536304eae3ac#body_text
is schema:about of	named entity 'heterogeneous' named entity 'result' named entity 'AFFECT' named entity 'VIRUS' named entity 'LACK' named entity 'HELMINTH' named entity 'RECENT' named entity 'HAVE' named entity 'METHODS' named entity 'REPRESENT' named entity 'TREATMENTS' named entity 'POPULATIONS' named entity 'WORLD' named entity 'COSTING' covid:arg/a028cf7f11cf5467f7f322c76fcd536304eae3ac named entity 'ANNUALLY' named entity 'MOLECULAR' named entity 'COUNTRIES' named entity 'HIGH THROUGHPUT SCREENING' named entity 'CALCULATED' named entity '1.4' named entity 'DEVELOPING' named entity 'STUDIES' named entity 'VARIOUS' named entity 'PROTOZOA' named entity 'NEEDED' named entity 'EFFECTIVE' named entity 'MAJORITY' named entity 'NEGLECTED TROPICAL DISEASES' named entity 'PATHOGENS' named entity 'THESE' named entity 'IDENTIFIED' named entity 'RESULT' named entity 'MORE THAN' named entity 'HETEROGENEOUS' named entity 'MOLECULES' named entity 'ENDEMIC' named entity 'DESCRIBE' named entity 'PURPOSE' named entity 'PROPERTIES' named entity 'BACTERIA' named entity 'NEW' named entity 'THERAPEUTICS' named entity 'WORLD HEALTH ORGANIZATION' named entity 'PERFORMED' named entity 'PEOPLE' named entity 'DISEASES' named entity 'DOLLARS' named entity '149' named entity 'NTDS' named entity 'ECONOMIES' named entity 'APPROACHES' named entity 'DIFFERENT' named entity 'GROUP' named entity 'YEARS' named entity 'COMMUNICABLE DISEASES' named entity 'FOUND' named entity 'COMPUTATIONAL' named entity 'therapeutics' named entity 'communicable diseases' named entity 'high throughput screening' named entity 'helminth' named entity 'virus' named entity 'Neglected tropical diseases' named entity 'bacteria' named entity 'Repurposing drugs' named entity 'azelastine' named entity 'cytotoxicity' named entity 'phenotypic' named entity 'auranofin' named entity 'NTDs'

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