Pages that link to "Q33752240"
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The following pages link to Development and analysis of an in vivo-compatible metabolic network of Mycobacterium tuberculosis (Q33752240):
Displayed 22 items.
- A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis (Q21202770) (← links)
- A metabolic network approach for the identification and prioritization of antimicrobial drug targets (Q27014752) (← links)
- Rapid countermeasure discovery against Francisella tularensis based on a metabolic network reconstruction (Q27678284) (← links)
- Modeling phenotypic metabolic adaptations of Mycobacterium tuberculosis H37Rv under hypoxia (Q28483742) (← links)
- Biofilm Formation Mechanisms of Pseudomonas aeruginosa Predicted via Genome-Scale Kinetic Models of Bacterial Metabolism (Q28550016) (← links)
- Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis (Q28551193) (← links)
- Integration of Biomass Formulations of Genome-Scale Metabolic Models with Experimental Data Reveals Universally Essential Cofactors in Prokaryotes (Q31148049) (← links)
- Analysis of complex metabolic behavior through pathway decomposition (Q33922321) (← links)
- Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting (Q34895323) (← links)
- Systems-based approaches to probing metabolic variation within the Mycobacterium tuberculosis complex (Q35010150) (← links)
- Metabolic modeling predicts metabolite changes in Mycobacterium tuberculosis (Q35778015) (← links)
- PSAMM: A Portable System for the Analysis of Metabolic Models (Q35909423) (← links)
- Superessential reactions in metabolic networks (Q35935855) (← links)
- Network motifs provide signatures that characterize metabolism (Q36747153) (← links)
- Metabolic network modeling and simulation for drug targeting and discovery (Q37962486) (← links)
- Pharmacologic considerations in use and development of antituberculosis drugs (Q38252559) (← links)
- Integration of Metabolic Modeling with Gene Co-expression Reveals Transcriptionally Programmed Reactions Explaining Robustness in Mycobacterium tuberculosis. (Q39312670) (← links)
- Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks (Q40825327) (← links)
- Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets (Q42065966) (← links)
- Antimycobacterial drug discovery using Mycobacteria-infected amoebae identifies anti-infectives and new molecular targets. (Q52676415) (← links)
- Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions. (Q52676732) (← links)
- Studying the relationship between robustness against mutations in metabolic networks and lifestyle of organisms (Q59034378) (← links)