Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease
about
Rapid countermeasure discovery against Francisella tularensis based on a metabolic network reconstructionA multi-scale approach to designing therapeutics for tuberculosisMechanistic systems modeling to guide drug discovery and developmentDissecting Leishmania infantum Energy Metabolism - A Systems Perspective.Systems analysis of host-parasite interactions.In silico methods for drug repurposing and pharmacologyMultiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization PredictionsDETC-based bacterial cellulose bio-curatives for topical treatment of cutaneous leishmaniasis.Network approaches to drug discovery.Antileishmanial Activity of Disulfiram and Thiuram Disulfide Analogs in an Ex Vivo Model System Is Selectively Enhanced by the Addition of Divalent Metal Ions.Genome-scale modeling of NADPH-driven β-lapachone sensitization in head and neck squamous cell carcinoma.Systems Approach Reveals Nuclear Factor Erythroid 2-Related Factor 2/Protein Kinase R Crosstalk in Human Cutaneous Leishmaniasis.Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula.Structural and dynamical analysis of biological networks.Accelerating the Drug Development Pipeline with Genome-Scale Metabolic Network Reconstructions
P2860
Q27678284-28EEF3D3-1070-4BD2-A5BB-C7AE0FADC678Q28647309-6FF77D01-567F-456F-9F75-4FEF9AAFC215Q30414988-B7B9B2E2-C79D-401B-A496-20DFAB70F358Q35772540-83A3AF91-30BA-46E8-A227-9FF884CDEB3EQ36372378-8E48FEF7-C6C6-4914-AD8E-200EF3ECE424Q36837816-1F9D7FB4-55C3-4BA7-A402-B128D2B8F99AQ36888550-5F305607-A1FF-45CF-9379-B74EA5C34CB9Q37475900-13F4418F-5759-49C1-853E-74B27F787E64Q38058888-991BDB8B-53F1-452C-B6F6-A2F509201332Q38406751-4EDD311A-32C7-4910-BFA4-4425311ED9F0Q38649663-06BC47AD-E698-4BC8-A85F-6177EBE42052Q41673013-4AD01054-A277-4239-AB15-92DD35C5703DQ47791848-22047D70-9804-4A83-BA33-6F39BA3C5509Q51331161-8C580426-0617-4114-9180-1A0AB33FBBD8Q57451675-2ACECF5D-94A4-42E2-952B-0E02E801771B
P2860
Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease
description
2012 nî lūn-bûn
@nan
2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
name
Metabolic network analysis pre ...... f a neglected tropical disease
@ast
Metabolic network analysis pre ...... f a neglected tropical disease
@en
type
label
Metabolic network analysis pre ...... f a neglected tropical disease
@ast
Metabolic network analysis pre ...... f a neglected tropical disease
@en
prefLabel
Metabolic network analysis pre ...... f a neglected tropical disease
@ast
Metabolic network analysis pre ...... f a neglected tropical disease
@en
P2093
P2860
P921
P356
P1433
P1476
Metabolic network analysis pre ...... f a neglected tropical disease
@en
P2093
Anna S Blazier
Arvind K Chavali
Jose L Tlaxca
Paul A Jensen
Richard D Pearson
P2860
P2888
P356
10.1186/1752-0509-6-27
P577
2012-04-27T00:00:00Z
P5875
P6179
1039664998