Algorithmic modeling quantifies the complementary contribution of metabolic inhibitions to gemcitabine efficacy
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The development of orally administrable gemcitabine prodrugs with D-enantiomer amino acids: enhanced membrane permeability and enzymatic stabilityAcquired resistance to decitabine and cross-resistance to gemcitabine during the long-term treatment of human HCT116 colorectal cancer cells with decitabine.The dipeptide monoester prodrugs of floxuridine and gemcitabine-feasibility of orally administrable nucleoside analogs.Graphical Modeling Meets Systems Pharmacology.An integrative network inference approach to predict mechanisms of cancer chemoresistance.
P2860
Algorithmic modeling quantifies the complementary contribution of metabolic inhibitions to gemcitabine efficacy
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2012 nî lūn-bûn
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2012 թուականին հրատարակուած գիտական յօդուած
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2012 թվականին հրատարակված գիտական հոդված
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年學術文章
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name
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@ast
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@en
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@nl
type
label
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@ast
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@en
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@nl
prefLabel
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@ast
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@en
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@nl
P2093
P2860
P1433
P1476
Algorithmic modeling quantifie ...... itions to gemcitabine efficacy
@en
P2093
Corrado Priami
Daniele Morpurgo
Gianluca Fantaccini
Ozan Kahramanoğullari
Paola Lecca
P2860
P304
P356
10.1371/JOURNAL.PONE.0050176
P407
P577
2012-01-01T00:00:00Z