scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1042358386 |
P356 | DOI | 10.1186/S12967-014-0263-5 |
P932 | PMC publication ID | 4201925 |
P698 | PubMed publication ID | 25304862 |
P5875 | ResearchGate publication ID | 266764457 |
P50 | author | Rohit Vashisht | Q56959876 |
P2093 | author name string | Samir K Brahmachari | |
Anshu Bhardwaj | |||
Ashwini G Bhat | |||
OSDD Consortium | |||
Shreeram Kushwaha | |||
P2860 | cites work | SOS response induces persistence to fluoroquinolones in Escherichia coli | Q21144990 |
Initial impact of the sequencing of the human genome | Q22122172 | ||
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence | Q22122411 | ||
Multidrug resistance in bacteria | Q22255652 | ||
A protocol for generating a high-quality genome-scale metabolic reconstruction | Q24603373 | ||
Nature, nurture, or chance: stochastic gene expression and its consequences | Q24610764 | ||
Metabolite-enabled eradication of bacterial persisters by aminoglycosides | Q24628050 | ||
Investigating the metabolic capabilities of Mycobacterium tuberculosis H37Rv using the in silico strain iNJ661 and proposing alternative drug targets | Q24669561 | ||
Identification of a small molecule with activity against drug-resistant and persistent tuberculosis | Q27678663 | ||
Mycobacterial lipoarabinomannan: an extraordinary lipoheteroglycan with profound physiological effects | Q28260573 | ||
What is flux balance analysis? | Q28275348 | ||
Structural annotation of Mycobacterium tuberculosis proteome | Q28477725 | ||
Sequence-based analysis uncovers an abundance of non-coding RNA in the total transcriptome of Mycobacterium tuberculosis | Q28477804 | ||
Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis | Q28481300 | ||
Gene knockout reveals a novel gene cluster for the synthesis of a class of cell wall lipids unique to pathogenic mycobacteria | Q28486208 | ||
Trehalose-recycling ABC transporter LpqY-SugA-SugB-SugC is essential for virulence of Mycobacterium tuberculosis | Q28486356 | ||
The Mycobacterium tuberculosis ECF sigma factor sigmaE: role in global gene expression and survival in macrophages | Q28486647 | ||
Biosynthesis and recycling of nicotinamide cofactors in mycobacterium tuberculosis. An essential role for NAD in nonreplicating bacilli | Q28487010 | ||
Characterization of Mycobacterium tuberculosis Rv3676 (CRPMt), a cyclic AMP receptor protein-like DNA binding protein. | Q28487330 | ||
Analysis of the phthiocerol dimycocerosate locus of Mycobacterium tuberculosis. Evidence that this lipid is involved in the cell wall permeability barrier | Q28487534 | ||
Epidemiology: A mortal foe. | Q45992659 | ||
Altered expression of isoniazid-regulated genes in drug-treated dormant Mycobacterium tuberculosis | Q46835050 | ||
Fluoroquinolone-modifying enzyme: a new adaptation of a common aminoglycoside acetyltransferase | Q46862305 | ||
The transcriptional responses of Mycobacterium tuberculosis to inhibitors of metabolism: novel insights into drug mechanisms of action | Q47215316 | ||
Biosynthesis of Mycobacterial Lipoarabinomannan | Q58040726 | ||
Tuberculosis | Q59096406 | ||
Dynamic persistence of antibiotic-stressed mycobacteria | Q85839481 | ||
KEGG for integration and interpretation of large-scale molecular data sets | Q29547277 | ||
Functional roles for noise in genetic circuits | Q29616625 | ||
A diarylquinoline drug active on the ATP synthase of Mycobacterium tuberculosis | Q29617342 | ||
Bacterial persistence as a phenotypic switch | Q29618111 | ||
Hierarchical organization of modularity in metabolic networks | Q29618451 | ||
Persister cells | Q30018300 | ||
Regulation of phenotypic variability by a threshold-based mechanism underlies bacterial persistence | Q30495567 | ||
The role of big data and advanced analytics in drug discovery, development, and commercialization | Q30780377 | ||
Persisters: a distinct physiological state of E. coli | Q33246517 | ||
mosR, a novel transcriptional regulator of hypoxia and virulence in Mycobacterium tuberculosis | Q33489282 | ||
Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models | Q33642720 | ||
Development and analysis of an in vivo-compatible metabolic network of Mycobacterium tuberculosis | Q33752240 | ||
Re-annotation of the genome sequence of Mycobacterium tuberculosis H37Rv | Q34153293 | ||
Quantitative relationships for specific growth rates and macromolecular compositions of Mycobacterium tuberculosis, Streptomyces coelicolor A3(2) and Escherichia coli B/r: an integrative theoretical approach | Q34319498 | ||
Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions | Q34344292 | ||
Genome sequencing of 161 Mycobacterium tuberculosis isolates from China identifies genes and intergenic regions associated with drug resistance | Q34367960 | ||
The Mtb proteome library: A resource of assays to quantify the complete proteome of mycobacterium tuberculosis | Q34727765 | ||
India takes an open source approach to drug discovery | Q34771499 | ||
Characterization and transcriptome analysis of Mycobacterium tuberculosis persisters | Q35058352 | ||
Mechanisms of resistance to quinolones | Q36155441 | ||
Role of mycobacterial efflux transporters in drug resistance: an unresolved question | Q36378353 | ||
Conversion of NO2 to NO by reduced coenzyme F420 protects mycobacteria from nitrosative damage | Q37159082 | ||
Bistability, epigenetics, and bet-hedging in bacteria | Q37184651 | ||
PhoP, a key player in Mycobacterium tuberculosis virulence | Q37286754 | ||
A genetic strategy to identify targets for the development of drugs that prevent bacterial persistence | Q37340936 | ||
Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis | Q37460800 | ||
Gene amplification and adaptive evolution in bacteria. | Q37580926 | ||
Evolution and transmission of drug-resistant tuberculosis in a Russian population | Q37611572 | ||
Open source drug discovery--a new paradigm of collaborative research in tuberculosis drug development. | Q37904142 | ||
Social networks to biological networks: systems biology of Mycobacterium tuberculosis. | Q38102918 | ||
Microbial persistence and the road to drug resistance | Q38114534 | ||
Multidrug-resistant and extensively drug-resistant tuberculosis: a threat to global control of tuberculosis | Q38429617 | ||
Transfer of embB codon 306 mutations into clinical Mycobacterium tuberculosis strains alters susceptibility to ethambutol, isoniazid, and rifampin | Q38898564 | ||
The sensor kinase KdpD and the response regulator KdpE control expression of the kdpFABC operon in Escherichia coli | Q40592230 | ||
The physiology and pathogenicity of Mycobacterium tuberculosis grown under controlled conditions in a defined medium | Q40882627 | ||
GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism | Q42130341 | ||
Evolution of high-level ethambutol-resistant tuberculosis through interacting mutations in decaprenylphosphoryl-β-D-arabinose biosynthetic and utilization pathway genes | Q42249147 | ||
Introducing the medical bioinformatics in Journal of Translational Medicine | Q42463880 | ||
Potentiating antibacterial activity by predictably enhancing endogenous microbial ROS production | Q43226870 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P921 | main subject | Mycobacterium tuberculosis | Q130971 |
P304 | page(s) | 263 | |
P577 | publication date | 2014-10-11 | |
P1433 | published in | Journal of Translational Medicine | Q15716664 |
P1476 | title | Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets | |
P478 | volume | 12 |
Search more.