about
Systems medicine: the future of medical genomics and healthcareCancer systems biology: a network modeling perspectiveRadiation Metabolomics: Current Status and Future DirectionsRegulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideumTowards a systems view of IBSProfiling invasiveness in head and neck cancer: recent contributions of genomic and transcriptomic approachesStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewIron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseasesA hidden feedback in signaling cascades is revealedLinking proteins to signaling pathways for experiment design and evaluationModeling phenotypic metabolic adaptations of Mycobacterium tuberculosis H37Rv under hypoxiaStructural and logical analysis of a comprehensive hedgehog signaling pathway to identify alternative drug targets for glioma, colon and pancreatic cancerFunctional Module Connectivity Map (FMCM): a framework for searching repurposed drug compounds for systems treatment of cancer and an application to colorectal adenocarcinomaA novel mathematical model describing adaptive cellular drug metabolism and toxicity in the chemoimmune systemIntegrative computational biology for cancer researchPerspective: Flicking with flow: Can microfluidics revolutionize the cancer research?Immunohistochemical analysis of changes in signaling pathway activation downstream of growth factor receptors in pancreatic duct cell carcinogenesis.A signal transduction score flow algorithm for cyclic cellular pathway analysis, which combines transcriptome and ChIP-seq data.Applying NGS Data to Find Evolutionary Network Biomarkers from the Early and Late Stages of Hepatocellular Carcinoma.Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery.Characterization of protein-interaction networks in tumors.Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targetsSingle cell cytometry of protein function in RNAi treated cells and in native populationsComparisons of robustness and sensitivity between cancer and normal cells by microarray dataLocal and global modes of drug action in biochemical networks.The apoptotic machinery as a biological complex system: analysis of its omics and evolution, identification of candidate genes for fourteen major types of cancer, and experimental validation in CML and neuroblastomaA systems biology framework for modeling metabolic enzyme inhibition of Mycobacterium tuberculosis.Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering.TIde: a software for the systematic scanning of drug targets in kinetic network models.Increased entropy of signal transduction in the cancer metastasis phenotype.Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.Docking Small Molecules to Predicted Off-Targets of the Cancer Drug Erlotinib Leads to Inhibitors of Lung Cancer Cell Proliferation with Suitable In vitro Pharmacokinetic Properties.Interacting partners of FEN1 and its role in the development of anticancer therapeutics.Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapiesA Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer.Inference of cancer-specific gene regulatory networks using soft computing rules.Addressing current challenges in cancer immunotherapy with mathematical and computational modelling.Do DNA microarrays tell the story of gene expression?Metabolic sensing by p53: keeping the balance between life and deathIn silico labeling reveals the time-dependent label half-life and transit-time in dynamical systems.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
Cancer: a Systems Biology disease.
@ast
Cancer: a Systems Biology disease.
@en
type
label
Cancer: a Systems Biology disease.
@ast
Cancer: a Systems Biology disease.
@en
prefLabel
Cancer: a Systems Biology disease.
@ast
Cancer: a Systems Biology disease.
@en
P2093
P1433
P1476
Cancer: a Systems Biology disease.
@en
P2093
Frank J Bruggeman
Jan Lankelma
Jorrit J Hornberg
P356
10.1016/J.BIOSYSTEMS.2005.05.014
P577
2006-01-19T00:00:00Z