Results 41 to 50 of about 1,632,468 (362)

The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens

open access: yesGenome Biology, 2019
The Network of Cancer Genes (NCG) is a manually curated repository of 2372 genes whose somatic modifications have known or predicted cancer driver roles.
Dimitra Repana   +8 more
doaj   +1 more source

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

Genomic and experimental evidence that ALKATI does not predict single agent sensitivity to ALK inhibitors

open access: yesiScience, 2021
Summary: Genomic data can facilitate personalized treatment decisions by enabling therapeutic hypotheses in individual patients. Mutual exclusivity has been an empirically useful signal for identifying activating mutations that respond to single agent ...
Haider Inam   +8 more
doaj   +1 more source

The Interplay among PINK1/PARKIN/Dj-1 Network during Mitochondrial Quality Control in Cancer Biology: Protein Interaction Analysis [PDF]

open access: yes, 2018
PARKIN (E3 ubiquitin ligase PARK2), PINK1 (PTEN induced kinase 1) and DJ-1 (PARK7) are proteins involved in autosomal recessive parkinsonism, and carcinogenic processes.
Lucas, Millikin, Narendra, Santel, Zhang
core   +2 more sources

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

Cyclin-dependent kinases as drug targets for cell growth and proliferation disorders. A role for systems biology approach in drug development. Part II - CDKs as drug targets in hypertrophic cell growth. Modelling of drugs targeting CDKs [PDF]

open access: yes, 2012
Cyclin-dependent kinases (CDKs) are key regulators of cell growth and proliferation. Impaired regulation of their activity leads to various diseases such as cancer and heart hypertrophy.
Idowu, Michael A.
core   +3 more sources

Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment

open access: yesFrontiers in Molecular Biosciences, 2020
Gastric cancer is the fifth most diagnosed cancer in the world, affecting more than a million people and causing nearly 783,000 deaths each year. The prognosis of advanced gastric cancer remains extremely poor despite the use of surgery and adjuvant ...
Xiao-Jing Shi, Yongjun Wei, B. Ji
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

A generalized non-linear model predicting efficacy of neoadjuvant therapy in HER2+ breast cancer

open access: yesiScience, 2023
Summary: Neoadjuvant therapy (NAT) is currently recommended to patients with human epidermal growth factor receptor 2-positive breast cancer (HER2+ BC) that typically exhibit a poor prognosis.
Yusong Wang   +7 more
doaj   +1 more source

Nanotechnology and cancer [PDF]

open access: yes, 2008
The biological picture of cancer is rapidly advancing from models built from phenomenological descriptions to network models derived from systems biology, which can capture the evolving pathophysiology of the disease at the molecular level.
Davis, Mark E., Heath, James R.
core   +2 more sources

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