Cancer systems biology in the genome sequencing era: Part 2, evolutionary dynamics of tumor clonal networks and drug resistance [PDF]
Seminars in Cancer Biology, 2014 A tumor often consists of multiple cell subpopulations (clones). Current chemo-treatments often target one clone of a tumor. Although the drug kills that clone, other clones overtake it and the tumor reoccurs. Genome sequencing and computational analysis allows to computational dissection of clones from tumors, while singe-cell genome sequencing ...
E. Wang +5 more
arxiv +3 more sources
ELECANS—an integrated model development environment for multiscale cancer systems biology [PDF]
Bioinform., 2013 MOTIVATION Computational multiscale models help cancer biologists to study the spatiotemporal dynamics of complex biological systems and to reveal the underlying mechanism of emergent properties.
Safee Ullah Chaudhary +4 more
openalex +2 more sources
Engineering simulations for cancer systems biology [PDF]
Current Drug Targets, 2012 Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses.
Andrews, Paul S. +8 more
core +7 more sources
Review of Computational Systems Biology of Cancer [PDF]
BioMedical Engineering OnLine, 2013 Review of "Computational Systems Biology of Cancer" by Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert and Andrei Zinovyev, Chapman & Hall/CRC ...
Eric Bullinger, Monica Schliemann
openalex +3 more sources
A census of pathway maps in cancer systems biology. [PDF]
Nat Rev Cancer, 2020 Kuenzi BM, Ideker T.
europepmc +2 more sources
Systems Biology of Cancer: A Challenging Expedition for Clinical and Quantitative Biologists [PDF]
, 2014 A systems-biology approach to complex disease (such as cancer) is now complementing traditional experience-based approaches, which have typically been invasive and expensive. The rapid progress in biomedical knowledge is enabling the targeting of disease
Bud eMishra +7 more
core +5 more sources
An ordinary differential equation model for the multistep transformation to cancer [PDF]
arXiv, 2004 Cancer is viewed as a multistep process whereby a normal cell is transformed into a cancer cell through the acquisition of mutations. We reduce the complexities of cancer progression to a simple set of underlying rules that govern the transformation of normal cells to malignant cells.
Arends +22 more
arxiv +3 more sources
Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. [PDF]
Scientific Reports, 2017 Malignant transformation is often accompanied by significant metabolic changes. To identify drivers underlying these changes, we calculated metabolic flux states for the NCI60 cell line collection and correlated the variance between metabolic states of ...
Bordbar, Aarash +5 more
core +2 more sources
Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps [PDF]
Oncogenesis, 2015 Cancerogenesis is driven by mutations leading to aberrant functioning of a complex network of molecular interactions and simultaneously affecting multiple cellular functions.
Inna Kuperstein +12 more
openalex +2 more sources
A Roadmap of Cancer Systems Biology
Nature Precedings, 2010 AbstractWhat is cancer systems biology? Why should we conduct systems biology research in cancer? What is the relationships between systems biology and personalized medicine? How do we conduct cancer systems biology research? This paper illustrates strategies, procedures and computational techniques for the study of cancer systems biology by focusing ...
E. Wang
semanticscholar +4 more sources