The implications of human metabolic network topology for disease comorbidity
By Dominick Lee, Juyong Park, Krin A. Kay, Nicholas A. Christakis, Zoltn Oltvai, Albert-László Barabási. 2008
486 citations recorded by the source corpus.
Subfields: Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Marinka Zitnik
- Jure Leskovec
- Jörg Menche
- Francisco Aparecido Rodrigues
- Ruth Nussinov
- Peter Csermely
- Huba J. M. Kiss
- Tamás Korcsmáros
Citations in the corpus
- Modeling polypharmacy side effects with graph convolutional networks (2018, background): “…can be thought of as a tensor factorization (more specifically, a rank-d DEDICOM tensor decomposition (Nickel et al. , 2011; Trouillon et al. , 2016)) of a three-way tensor, where two modes are identically formed by the drugs and the third mode holds polypharmacy side effects of drug combinations.”
- Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Complex networks have been useful in medicine, as networks representing biomolecular systems can be applied to understand disease principles and spreading [404].”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…pathways • Gene Ontology terms • Small molecule (drug) • Species An integrated bio-entity network Bell et al., 2011 • Disease • Adjacent members of metabolic pathways Metabolic pathway-corrected human disease network Lee et al., 2008a • Disease • MicroRNA MicroRNA/disease association-based…”
- Human Disease-Drug Network Based on Genomic Expression Profiles (2009, background): “Moreover, diseases may be related using statistical analysis of patient records [10], quantitative measurements of the phenotypic overlap of Online Mendelian Inheritance in Man (OMIM) records [11], and annotative concepts [6], and metabolic diseases may be connected via metabolites and common reacti”
- A DIseAse MOdule Detection (DIAMOnD) Algorithm Derived from a Systematic Analysis of Connectivity Patterns of Disease Proteins in the Human Interactome (2015, methodology): “In total, we use 5,325 such metabolic links between 921 enzymes from [47].”