scholarly article | Q13442814 |
P356 | DOI | 10.1016/J.DRUDIS.2013.07.014 |
P953 | full work available at URL | https://api.elsevier.com/content/article/PII:S1359644613002481?httpAccept=text/plain |
https://api.elsevier.com/content/article/PII:S1359644613002481?httpAccept=text/xml | ||
https://doi.org/10.1016/j.drudis.2013.07.014 | ||
https://europepmc.org/articles/PMC3989035 | ||
P3181 | OpenCitations bibliographic resource ID | 1003439 |
P932 | PMC publication ID | 3989035 |
P698 | PubMed publication ID | 23892182 |
P5875 | ResearchGate publication ID | 253334477 |
P50 | author | Douglas Kell | Q5301676 |
Roy Goodacre | Q57058337 | ||
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Visualizing the drug target landscape | Q37617737 | ||
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Unveiling the role of network and systems biology in drug discovery | Q37684484 | ||
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An application of a relational database system for high-throughput prediction of elemental compositions from accurate mass values | Q34480776 | ||
Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation | Q34490423 | ||
A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2 | Q34547091 | ||
Metabolomics and systems biology: making sense of the soup | Q34548620 | ||
Mechanistic analysis of multi-omics datasets to generate kinetic parameters for constraint-based metabolic models. | Q34566795 | ||
MyCompoundID: using an evidence-based metabolome library for metabolite identification | Q34571864 | ||
Metabolomics: building on a century of biochemistry to guide human health | Q34591242 | ||
Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it. | Q34646772 | ||
Metabolomics: a global biochemical approach to drug response and disease | Q34734298 | ||
Systems approaches to polypharmacology and drug discovery | Q34746314 | ||
Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum | Q34930194 | ||
Implications of the dominant role of transporters in drug uptake by cells | Q34939329 | ||
Pulsatile stimulation determines timing and specificity of NF-kappaB-dependent transcription | Q34975036 | ||
FAME, the Flux Analysis and Modeling Environment | Q28258452 | ||
The markup is the model: reasoning about systems biology models in the Semantic Web era | Q28259568 | ||
Drug discovery: Predicting promiscuity | Q28264510 | ||
OptFlux: an open-source software platform for in silico metabolic engineering | Q28280084 | ||
Trimethylamine-N-Oxide, a Metabolite Associated with Atherosclerosis, Exhibits Complex Genetic and Dietary Regulation | Q28283087 | ||
Oscillations in NF-kappaB signaling control the dynamics of gene expression | Q28289121 | ||
High-throughput generation, optimization and analysis of genome-scale metabolic models | Q28291992 | ||
Utopia documents: linking scholarly literature with research data | Q28292614 | ||
Can we rationally design promiscuous drugs? | Q28294268 | ||
The 'evolvability' of promiscuous protein functions | Q28295483 | ||
Network pharmacology: the next paradigm in drug discovery | Q28297997 | ||
Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption | Q28306678 | ||
How to improve R&D productivity: the pharmaceutical industry's grand challenge | Q28314992 | ||
Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases | Q28388335 | ||
Network-Based Relating Pharmacological and Genomic Spaces for Drug Target Identification | Q28474912 | ||
Drug Off-Target Effects Predicted Using Structural Analysis in the Context of a Metabolic Network Model | Q28475693 | ||
Understanding and classifying metabolite space and metabolite-likeness | Q28478426 | ||
MetaboSearch: Tool for Mass-Based Metabolite Identification Using Multiple Databases | Q28480894 | ||
Shrinking the Metabolic Solution Space Using Experimental Datasets | Q28483028 | ||
Testing biochemistry revisited: how in vivo metabolism can be understood from in vitro enzyme kinetics | Q28483283 | ||
Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT | Q28483779 | ||
Characterizing the Network of Drugs and Their Affected Metabolic Subpathways | Q28484558 | ||
Chapter 3: Small molecules and disease | Q28484584 | ||
A method for comparing multivariate time series with different dimensions | Q28485976 | ||
A mammalian siderophore synthesized by an enzyme with a bacterial homolog involved in enterobactin production | Q28511945 | ||
Metabolite profiling for plant functional genomics | Q28540952 | ||
Liquid chromatography quadrupole time-of-flight mass spectrometry characterization of metabolites guided by the METLIN database | Q28686521 | ||
The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013 | Q28710191 | ||
MetaboLights: towards a new COSMOS of metabolomics data management | Q28727284 | ||
Metabolomic profiling reveals mitochondrial-derived lipid biomarkers that drive obesity-associated inflammation | Q28728589 | ||
Controlled vocabularies and semantics in systems biology | Q28732715 | ||
Empowering industrial research with shared biomedical vocabularies | Q28842711 | ||
Protein structure prediction from sequence variation | Q28914772 | ||
Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research | Q29014502 | ||
Dynamic metabolomic data analysis: a tutorial review | Q33546332 | ||
Network systems biology for drug discovery | Q33592795 | ||
Nontargeted elucidation of metabolic pathways using stable-isotope tracers and mass spectrometry | Q33626814 | ||
Parameter estimation in biochemical pathways: a comparison of global optimization methods | Q33682039 | ||
Single cell metabolomics. | Q33713923 | ||
Metabolomic Analysis and Visualization Engine for LC−MS Data | Q33738016 | ||
Macromolecular compartmentation and channeling. | Q33769793 | ||
One hundred years of membrane permeability: does Overton still rule? | Q33787924 | ||
New figures of merit for comprehensive functional genomics data: the metabolomics case | Q33842521 | ||
Drug screening in a zebrafish model of Duchenne muscular dystrophy. | Q33845739 | ||
Ultra-fast searching assists in evaluating sub-ppm mass accuracy enhancement in U-HPLC/Orbitrap MS data. | Q33861466 | ||
Applications of mass spectrometry to metabolomics and metabonomics: Detection of biomarkers of aging and of age‐related diseases | Q33888328 | ||
Two-stage flux balance analysis of metabolic networks for drug target identification | Q33937472 | ||
Lipid rafts: at a crossroad between cell biology and physics. | Q34001726 | ||
Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models | Q34002893 | ||
An exometabolomics approach to monitoring microbial contamination in microalgal fermentation processes by using metabolic footprint analysis | Q34028387 | ||
The human metabolic reconstruction Recon 1 directs hypotheses of novel human metabolic functions | Q34036307 | ||
Systematic functional analysis of the yeast genome | Q34067467 | ||
Detection of "oncometabolite" 2-hydroxyglutarate by magnetic resonance analysis as a biomarker of IDH1/2 mutations in glioma | Q34101190 | ||
Event extraction for systems biology by text mining the literature | Q34122157 | ||
Role of systems pharmacology in understanding drug adverse events | Q34134791 | ||
Dissecting variability in responses to cancer chemotherapy through systems pharmacology | Q34139962 | ||
Identification of metabolic biomarkers to diagnose epithelial ovarian cancer using a UPLC/QTOF/MS platform | Q34142972 | ||
Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets | Q34164910 | ||
Navigating the human metabolome for biomarker identification and design of pharmaceutical molecules. | Q34170091 | ||
In situ metabolomic mass spectrometry imaging: recent advances and difficulties | Q34172471 | ||
A genome-wide association study of metabolic traits in human urine | Q34185066 | ||
Pharmaceutical drug transport: the issues and the implications that it is essentially carrier-mediated only | Q34188324 | ||
The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks | Q34233757 | ||
The core control system of intracellular iron homeostasis: A mathematical model | Q34250374 | ||
Diagnosing the decline in pharmaceutical R&D efficiency | Q34257771 | ||
Model-based approaches for the determination of lipid bilayer structure from small-angle neutron and X-ray scattering data. | Q34269919 | ||
An accelerated workflow for untargeted metabolomics using the METLIN database | Q34298853 | ||
ECMDB: the E. coli Metabolome Database | Q34308903 | ||
Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era | Q29398873 | ||
Network medicine: a network-based approach to human disease | Q29547462 | ||
Cytoscape 2.8: new features for data integration and network visualization | Q29547471 | ||
A community-driven global reconstruction of human metabolism. | Q29614690 | ||
Global analysis of protein phosphorylation in yeast | Q29615057 | ||
Global mapping of pharmacological space | Q29615876 | ||
Can the pharmaceutical industry reduce attrition rates? | Q29616077 | ||
How were new medicines discovered? | Q29616641 | ||
Membrane transporters in drug development | Q29616802 | ||
COPASI--a COmplex PAthway SImulator | Q29617467 | ||
Grapefruit-medication interactions: forbidden fruit or avoidable consequences? | Q24611177 | ||
Predicting new molecular targets for known drugs | Q24649687 | ||
Global reconstruction of the human metabolic network based on genomic and bibliomic data | Q24677060 | ||
Grapefruit juice-drug interactions | Q24683430 | ||
The exposome: from concept to utility | Q26821776 | ||
Metabolomics in diabetes research | Q26822794 | ||
Systems Pharmacology: Network Analysis to Identify Multiscale Mechanisms of Drug Action | Q26824166 | ||
Systems pharmacology of complex diseases | Q26830739 | ||
Developing New Drug Treatments in the Era of Network Medicine | Q26865960 | ||
Metabolomics and cardiovascular biomarker discovery | Q26991473 | ||
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review | Q27008867 | ||
Obesity and psychotic disorders: uncovering common mechanisms through metabolomics | Q27011617 | ||
LC-MS-based metabolomics | Q27015012 | ||
Correlated imaging--a grand challenge in chemical analysis | Q27024439 | ||
Open PHACTS: semantic interoperability for drug discovery | Q27061937 | ||
Elemental composition determination based on MSn | Q27134827 | ||
Metabolite Identification Using Automated Comparison of High-Resolution Multistage Mass Spectral Trees | Q27156570 | ||
Growth control of the eukaryote cell: a systems biology study in yeast | Q27499776 | ||
Iron traffics in circulation bound to a siderocalin (Ngal)–catechol complex | Q27662810 | ||
Serine is a natural ligand and allosteric activator of pyruvate kinase M2 | Q27674495 | ||
RIKEN tandem mass spectral database (ReSpect) for phytochemicals: A plant-specific MS/MS-based data resource and database | Q27807496 | ||
MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data | Q27818909 | ||
Statistical strategies for avoiding false discoveries in metabolomics and related experiments | Q27887473 | ||
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics | Q27887476 | ||
Toward interoperable bioscience data | Q28090939 | ||
Cyclic GMP-AMP is an endogenous second messenger in innate immune signaling by cytosolic DNA | Q28118718 | ||
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations | Q28141411 | ||
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models | Q28212902 | ||
The control of flux | Q28237216 | ||
Computational modeling of biochemical networks using COPASI | Q28243015 | ||
A Linear Steady-State Treatment of Enzymatic Chains. General Properties, Control and Effector Strength | Q28246120 | ||
Human metabolic individuality in biomedical and pharmaceutical research | Q28247002 | ||
Efficient discovery of anti-inflammatory small-molecule combinations using evolutionary computing | Q28251171 | ||
P275 | copyright license | Creative Commons Attribution 3.0 Unported | Q14947546 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | Cytoscape | Q3699942 |
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | pharmacology | Q128406 |
metabolomics | Q12149006 | ||
drug discovery | Q1418791 | ||
metabolic network | Q2263094 | ||
biomedical investigative technique | Q66648976 | ||
P304 | page(s) | 171-82 | |
P577 | publication date | 2013-07-26 | |
2014-02-01 | |||
P13046 | publication type of scholarly work | review article | Q7318358 |
P1433 | published in | Drug Discovery Today | Q3040085 |
P1476 | title | Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery | |
P478 | volume | 19 |
Q49170560 | 8u, a pro-apoptosis/cell cycle arrest compound, suppresses invasion and metastasis through HSP90α downregulating and PI3K/Akt inactivation in hepatocellular carcinoma cells. |
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Q29248210 | A Bacterial Component to Alzheimer’s-Type Dementia Seen via a Systems Biology Approach that Links Iron Dysregulation and Inflammagen Shedding to Disease |
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Q34867072 | An analysis of a 'community-driven' reconstruction of the human metabolic network |
Q41959283 | Analysis of drug-endogenous human metabolite similarities in terms of their maximum common substructures |
Q35149924 | Analytical methods in untargeted metabolomics: state of the art in 2015. |
Q28074451 | Applying metabolomics to cardiometabolic intervention studies and trials: past experiences and a roadmap for the future |
Q30359211 | Brain Metabolic Changes in Rats following Acoustic Trauma |
Q55052921 | Chytridiomycosis causes catastrophic organism-wide metabolic dysregulation including profound failure of cellular energy pathways. |
Q26742050 | Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic Era |
Q38994528 | Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks". |
Q38942405 | Comparative metabolism of tramadol and tapentadol: a toxicological perspective. |
Q91975754 | Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine |
Q94585158 | Differential metabolic markers associated with primary open-angle glaucoma and cataract in human aqueous humor |
Q36342657 | Enhancing Drug Efficacy and Therapeutic Index through Cheminformatics-Based Selection of Small Molecule Binary Weapons That Improve Transporter-Mediated Targeting: A Cytotoxicity System Based on Gemcitabine |
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Q93110914 | Generation of a Small Library of Natural Products Designed to Cover Chemical Space Inexpensively |
Q35911355 | Global Urine Metabolomics in Patients Treated with First-Line Tuberculosis Drugs and Identification of a Novel Metabolite of Ethambutol |
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Q36387102 | High-Resolution Metabolomics: Review of the Field and Implications for Nursing Science and the Study of Preterm Birth |
Q24273350 | How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusion |
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Q38578341 | In silico ADME/T modelling for rational drug design. |
Q52649857 | Integrated Metabolomics and Network Pharmacology Approach to Explain Possible Action Mechanisms of Xin-Sheng-Hua Granule for Treating Anemia |
Q40046136 | Is systems pharmacology ready to impact upon therapy development? A study on the cholesterol biosynthesis pathway |
Q38554197 | Lipid and Metabolic Changes in Rheumatoid Arthritis. |
Q46563408 | Mass Spectrometry in Untargeted LC-MS Metabolomics: ESI parameters and global coverage of the metabolome |
Q28597594 | MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites |
Q61811681 | Metabolic Alterations in Cardiopulmonary Vascular Dysfunction |
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Q56974269 | Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells |
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Q38287400 | Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently |
Q29040976 | Systems Biology of the Fluxome |
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Q40262879 | The apparent permeabilities of Caco-2 cells to marketed drugs: magnitude, and independence from both biophysical properties and endogenite similarities |
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Q38958767 | Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems. |
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