Literature DB >> 23063808

Exploring the human diseasome: the human disease network.

Kwang-Il Goh1, In-Geol Choi.   

Abstract

Advances in genome-scale molecular biology and molecular genetics have greatly elevated our knowledge on the basic components of human biology and diseases. At the same time, the importance of cellular networks between those biological components is increasingly appreciated. Built upon these recent technological and conceptual advances, a new discipline called the network medicine, an approach to understand human diseases from a network point-of-view, is about to emerge. In this review article, we will survey some recent endeavours along this direction, centred on the concept and applications of the human diseasome and the human disease network. Questions, and partial answers thereof, such as how the connectivity between molecular parts translates into the relationships between the related disorders on a global scale and how central the disease-causing genetic components are in the cellular network, will be discussed. The use of the diseasome in combination with various interactome networks and other disease-related factors is also reviewed.

Entities:  

Mesh:

Year:  2012        PMID: 23063808     DOI: 10.1093/bfgp/els032

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  40 in total

1.  Evaluation of patients diagnosed with essential arterial hypertension through network analysis.

Authors:  L Suciu; C Cristescu; A Topîrceanu; L Udrescu; M Udrescu; V Buda; M C Tomescu
Journal:  Ir J Med Sci       Date:  2015-08-29       Impact factor: 1.568

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  Drug repositioning by integrating target information through a heterogeneous network model.

Authors:  Wenhui Wang; Sen Yang; Xiang Zhang; Jing Li
Journal:  Bioinformatics       Date:  2014-06-27       Impact factor: 6.937

4.  Integrative analysis of prognosis data on multiple cancer subtypes.

Authors:  Jin Liu; Jian Huang; Yawei Zhang; Qing Lan; Nathaniel Rothman; Tongzhang Zheng; Shuangge Ma
Journal:  Biometrics       Date:  2014-04-25       Impact factor: 2.571

5.  Understanding allergic multimorbidity within the non-eosinophilic interactome.

Authors:  Daniel Aguilar; Nathanael Lemonnier; Gerard H Koppelman; Erik Melén; Baldo Oliva; Mariona Pinart; Stefano Guerra; Jean Bousquet; Josep M Anto
Journal:  PLoS One       Date:  2019-11-06       Impact factor: 3.240

6.  Integrative network-based approach identifies central genetic and transcriptomic elements in triple-negative breast cancer.

Authors:  Ramireddy Sriroopreddy; C Sudandiradoss
Journal:  Funct Integr Genomics       Date:  2017-12-19       Impact factor: 3.410

Review 7.  Systems psychopharmacology: A network approach to developing novel therapies.

Authors:  Peter J Gebicke-Haerter
Journal:  World J Psychiatry       Date:  2016-03-22

8.  Controlling Directed Protein Interaction Networks in Cancer.

Authors:  Krishna Kanhaiya; Eugen Czeizler; Cristian Gratie; Ion Petre
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

Review 9.  Genotype to phenotype via network analysis.

Authors:  Hannah Carter; Matan Hofree; Trey Ideker
Journal:  Curr Opin Genet Dev       Date:  2013-11-14       Impact factor: 5.578

Review 10.  Evaluation of the association between arsenic and diabetes: a National Toxicology Program workshop review.

Authors:  Elizabeth A Maull; Habibul Ahsan; Joshua Edwards; Matthew P Longnecker; Ana Navas-Acien; Jingbo Pi; Ellen K Silbergeld; Miroslav Styblo; Chin-Hsiao Tseng; Kristina A Thayer; Dana Loomis
Journal:  Environ Health Perspect       Date:  2012-08-10       Impact factor: 9.031

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