Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways
about
Systems biology approaches for advancing the discovery of effective drug combinationsDiscovering anti-platelet drug combinations with an integrated model of activator-inhibitor relationships, activator-activator synergies and inhibitor-inhibitor synergiesContext Sensitive Modeling of Cancer Drug SensitivityScreening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drug-protein networksQuantitative scoring of differential drug sensitivity for individually optimized anticancer therapies.Advances in Synergistic Combinations of Chinese Herbal Medicine for the Treatment of Cancer.Context-specific functional module based drug efficacy prediction.A simple gene set-based method accurately predicts the synergy of drug pairsPhenotype-dependent alteration of pathways and networks reveals a pure synergistic mechanism for compounds treating mouse cerebral ischemia.Piperlongumine and immune cytokine TRAIL synergize to promote tumor deathBiological networks and drug discovery--where do we stand?Molecularly targeted drug combinations demonstrate selective effectiveness for myeloid- and lymphoid-derived hematologic malignancies.Approaches to identify kinase dependencies in cancer signalling networks.Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations.Advances in computational approaches in identifying synergistic drug combinations.Polypharmacology: in silico methods of ligand design and development.Exploiting receptor tyrosine kinase co-activation for cancer therapy.TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples.Current Trends in Multidrug Optimization.Network-Oriented Approaches to Anticancer Drug Response.Rectifying cancer drug discovery through network pharmacology.Customizing the therapeutic response of signaling networks to promote antitumor responses by drug combinations.Advances in Pharmacotherapy Development: Human Clinical Studies.Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery.A 35-gene signature discriminates between rapidly- and slowly-progressing glioblastoma multiforme and predicts survival in known subtypes of the cancer.
P2860
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P2860
Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Target inhibition networks: pr ...... block cancer survival pathways
@ast
Target inhibition networks: pr ...... block cancer survival pathways
@en
Target inhibition networks: pr ...... block cancer survival pathways
@nl
type
label
Target inhibition networks: pr ...... block cancer survival pathways
@ast
Target inhibition networks: pr ...... block cancer survival pathways
@en
Target inhibition networks: pr ...... block cancer survival pathways
@nl
prefLabel
Target inhibition networks: pr ...... block cancer survival pathways
@ast
Target inhibition networks: pr ...... block cancer survival pathways
@en
Target inhibition networks: pr ...... block cancer survival pathways
@nl
P2093
P2860
P50
P3181
P1476
Target inhibition networks: pr ...... block cancer survival pathways
@en
P2093
Agnieszka Szwajda
Bhagwan Yadav
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1003226
P407
P577
2013-09-12T00:00:00Z