Results 41 to 50 of about 1,564,848 (340)

Improved prediction of PARP inhibitor response and identification of synergizing agents through use of a novel gene expression signature generation algorithm

open access: yesnpj Systems Biology and Applications, 2017
Personalized medicine: Signature-guided cancer therapy Personalized cancer therapy is one of the holy grails of oncology, as the ability to determine what treatment would best benefit a patient would serve not only to improve outcomes, but also mitigate ...
Daniel J. McGrail   +13 more
doaj   +1 more source

Systems biology and cancer stem cells [PDF]

open access: yesJournal of Cellular and Molecular Medicine, 2007
Introduction Molecular profiling for cancer classification Molecular profiling of cancer stem cells Emerging technologies for proteome characterization Biomolecular networks in cancer Perspective and concluding remarks AbstractThe identification, purification and characterization of cancer stem cells (CSCs) holds tremendous promise for improving the
Nathan D. Price   +4 more
openaire   +3 more sources

Edgetic perturbation models of human inherited disorders

open access: yesMolecular Systems Biology, 2009
Cellular functions are mediated through complex systems of macromolecules and metabolites linked through biochemical and physical interactions, represented in interactome models as ‘nodes’ and ‘edges’, respectively.
Quan Zhong   +23 more
doaj   +1 more source

Systems Biology and Genomics of Breast Cancer [PDF]

open access: yesCold Spring Harbor Perspectives in Biology, 2010
It is now accepted that breast cancer is not a single disease, but instead it is composed of a spectrum of tumor subtypes with distinct cellular origins, somatic changes, and etiologies. Gene expression profiling using DNA microarrays has contributed significantly to our understanding of the molecular heterogeneity of breast tumor formation ...
Charles M. Perou   +1 more
openaire   +2 more sources

Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer

open access: yesFrontiers in Oncology, 2020
Cancer is the manifestation of abnormalities of different physiological processes involving genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in different omics data types.
Nupur Biswas, S. Chakrabarti
semanticscholar   +1 more source

An inter‐species protein–protein interaction network across vast evolutionary distance

open access: yesMolecular Systems Biology, 2016
In cellular systems, biophysical interactions between macromolecules underlie a complex web of functional interactions. How biophysical and functional networks are coordinated, whether all biophysical interactions correspond to functional interactions ...
Quan Zhong   +30 more
doaj   +1 more source

Exposing The Cancer Genome Atlas (TCGA) as a SPARQL endpoint [PDF]

open access: yes, 2011
Automated discovery of candidate biomarkers from multiple databases has been the central challenge in the Life Sciences in general and in the study of systemic processes such as those documented by The Cancer Genome Atlas (TCGA) in particular. &
Helena Deus
core   +2 more sources

Network-based prediction of protein interactions

open access: yesNature Communications, 2019
Computational protein-protein interaction (PPI) prediction has the potential to complement experimental efforts to map interactomes. Here, the authors show that proteins tend to interact if one is similar to the other’s partners and that PPI prediction ...
István A. Kovács   +12 more
doaj   +1 more source

Kinetic modelling of in vitro data of PI3K, mTOR1, PTEN enzymes and on-target inhibitors Rapamycin, BEZ235, and LY294002 [PDF]

open access: yes, 2016
The phosphatidylinositide 3-kinases (PI3K) and mammalian target of rapamycin-1 (mTOR1) are two key targets for anti-cancer therapy. Predicting the response of the PI3K/AKT/mTOR1 signalling pathway to targeted therapy is made difficult because of network ...
Bown, James L.   +4 more
core   +3 more sources

A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer

open access: yesiScience, 2021
Summary: We aimed to identify triple-negative breast cancer (TNBC) drivers that regulate survival time as predictive signatures that improve TNBC prognostication.
Courtney D. Dill   +4 more
doaj  

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