DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections

被引:75
作者
Liu, Chun-Chi [1 ,2 ]
Tseng, Yu-Ting [1 ]
Li, Wenyuan [3 ]
Wu, Chia-Yu [1 ]
Mayzus, Ilya [4 ]
Rzhetsky, Andrey [4 ]
Sun, Fengzhu [3 ]
Waterman, Michael [3 ]
Chen, Jeremy J. W. [2 ,5 ,6 ]
Chaudhary, Preet M. [7 ,8 ]
Loscalzo, Joseph [9 ,10 ]
Crandall, Edward [11 ,12 ]
Zhou, Xianghong Jasmine [3 ]
机构
[1] Natl Chung Hsing Univ, Inst Genom & Bioinformat, Taichung 402, Taiwan
[2] Natl Chung Hsing Univ, Agr Biotechnol Ctr, Taichung 402, Taiwan
[3] Univ So Calif, Los Angeles, CA 90089 USA
[4] Univ Chicago, Inst Genom & Syst Biol, Computat Inst, Chicago, IL 60637 USA
[5] Natl Chung Hsing Univ, Inst Mol Biol, Taichung 402, Taiwan
[6] Natl Chung Hsing Univ, Inst Biomed Sci, Taichung 402, Taiwan
[7] Univ So Calif, Keck Sch Med, Jane Anne Nohl Div Hematol, Los Angeles, CA 90033 USA
[8] Univ So Calif, Keck Sch Med, Ctr Study Blood Dis, Los Angeles, CA 90033 USA
[9] Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
[10] Harvard Univ, Sch Med, Boston, MA 02115 USA
[11] Univ So Calif, Pulm Res Ctr, Will Rogers Inst, Los Angeles, CA 90033 USA
[12] Univ So Calif, Dept Med, Los Angeles, CA 90089 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
GENES; ASSOCIATIONS; FLUDARABINE; BORTEZOMIB; TOPOLOGY; RESOURCE; SYSTEM;
D O I
10.1093/nar/gku412
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The DiseaseConnect (http://disease-connect.org) is a web server for analysis and visualization of a comprehensive knowledge on mechanism-based disease connectivity. The traditional disease classification system groups diseases with similar clinical symptoms and phenotypic traits. Thus, diseases with entirely different pathologies could be grouped together, leading to a similar treatment design. Such problems could be avoided if diseases were classified based on their molecular mechanisms. Connecting diseases with similar pathological mechanisms could inspire novel strategies on the effective repositioning of existing drugs and therapies. Although there have been several studies attempting to generate disease connectivity networks, they have not yet utilized the enormous and rapidly growing public repositories of disease-related omics data and literature, two primary resources capable of providing insights into disease connections at an unprecedented level of detail. Our DiseaseConnect, the first public web server, integrates comprehensive omics and literature data, including a large amount of gene expression data, Genome-Wide Association Studies catalog, and text-mined knowledge, to discover disease-disease connectivity via common molecular mechanisms. Moreover, the clinical comorbidity data and a comprehensive compilation of known drug disease relationships are additionally utilized for advancing the understanding of the disease landscape and for facilitating the mechanism-based development of new drug treatments.
引用
收藏
页码:W137 / W146
页数:10
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