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Pharm Res. 2018 Dec 17;36(2):27. doi: 10.1007/s11095-018-2558-3.

High Throughput and Computational Repurposing for Neglected Diseases.

Author information

1
KAL Research Initiatives LLC, Houston, Texas, 77042, USA. helenwhernandez@kalresearchinitiatives.com.
2
MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.
3
Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina, 27606, USA.
4
University of Texas at Austin, Austin, Texas, USA.
5
LabMol - Laboratory for Molecular Modeling and Drug Design Faculdade de Farmacia, Universidade Federal de Goias - UFG, GoiĆ¢nia, GO, 74605-170, Brazil.
6
Center for Discovery and Innovation in Parasitic Diseases, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, 92093, USA.
7
Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina, 27606, USA. sean@collaborationspharma.com.

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.

KEYWORDS:

dengue; ebola; echinococcosis; elephantiasis; high throughput screening; kinetoplastids; lymphatic filariasis; neglected tropical diseases; onchocerciasis; repurposing; schistosoma; zika

PMID:
30560386
DOI:
10.1007/s11095-018-2558-3
[Indexed for MEDLINE]

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