Computational Models for Neglected Diseases: Gaps and Opportunities

被引:17
作者
Ponder, Elizabeth L. [1 ]
Freundlich, Joel S. [2 ,3 ]
Sarker, Malabika [4 ]
Ekins, Sean [5 ,6 ]
机构
[1] Berkeley 444A Li Ka Shing Ctr, Ctr Emerging & Neglected Dis, Berkeley, CA 94720 USA
[2] Rutgers State Univ, New Jersey Med Sch, Dept Med, Ctr Emerging & Reemerging Pathogens, Newark, NJ 07103 USA
[3] Rutgers State Univ, New Jersey Med Sch, Dept Physiol & Pharmacol, Newark, NJ 07103 USA
[4] SRI Int, Menlo Pk, CA 94025 USA
[5] Collaborat Chem, Fuquay Varina, NC 27526 USA
[6] Collaborat Drug Discovery, Burlingame, CA 94010 USA
关键词
African sleeping sickness; Chagas disease; computational models; leishmaniasis; malaria; schistosomiasis; tuberculosis; POTENTIAL-DRUG TARGETS; PROTEIN-INTERACTION NETWORK; PLASMODIUM-FALCIPARUM; TRYPANOSOMA-CRUZI; MYCOBACTERIUM-TUBERCULOSIS; METABOLIC NETWORK; MOBILE APP; DISCOVERY; IDENTIFICATION; LIBRARY;
D O I
10.1007/s11095-013-1170-9
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Neglected diseases, such as Chagas disease, African sleeping sickness, and intestinal worms, affect millions of the world's poor. They disproportionately affect marginalized populations, lack effective treatments or vaccines, or existing products are not accessible to the populations affected. Computational approaches have been used across many of these diseases for various aspects of research or development, and yet data produced by computational approaches are not integrated and widely accessible to others. Here, we identify gaps in which computational approaches have been used for some neglected diseases and not others. We also make recommendations for the broad-spectrum integration of these techniques into a neglected disease drug discovery and development workflow.
引用
收藏
页码:271 / 277
页数:7
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