# | Title | Journal | Year | Citations |
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|
1 | Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega | Molecular Systems Biology | 2011 | 13,322 |
2 | Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection | Molecular Systems Biology | 2006 | 6,783 |
3 | Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology | 2019 | 1,456 |
4 | Network‐based classification of breast cancer metastasis | Molecular Systems Biology | 2007 | 1,327 |
5 | A genome‐scale metabolic reconstruction for Escherichia coli K‐12 MG1655 that accounts for 1260 ORFs and thermodynamic information | Molecular Systems Biology | 2007 | 1,246 |
6 | Selected reaction monitoring for quantitative proteomics: a tutorial | Molecular Systems Biology | 2008 | 1,235 |
7 | Deep learning for computational biology | Molecular Systems Biology | 2016 | 1,114 |
8 | Potential of fecal microbiota for early‐stage detection of colorectal cancer | Molecular Systems Biology | 2014 | 1,051 |
9 | A comprehensive genome‐scale reconstruction of Escherichia coli metabolism—2011 | Molecular Systems Biology | 2011 | 938 |
10 | A comprehensive pathway map of epidermal growth factor receptor signaling | Molecular Systems Biology | 2005 | 934 |
11 | Network‐based prediction of protein function | Molecular Systems Biology | 2007 | 925 |
12 | Ultrasensitive proteome analysis using paramagnetic bead technology | Molecular Systems Biology | 2014 | 908 |
13 | Deep proteome and transcriptome mapping of a human cancer cell line | Molecular Systems Biology | 2011 | 895 |
14 | Large‐scale mapping of human protein–protein interactions by mass spectrometry | Molecular Systems Biology | 2007 | 865 |
15 | Synthetic biology: new engineering rules for an emerging discipline | Molecular Systems Biology | 2006 | 837 |
16 | The protein expression profile of ACE2 in human tissues | Molecular Systems Biology | 2020 | 825 |
17 | Feedback between p21 and reactive oxygen production is necessary for cell senescence | Molecular Systems Biology | 2010 | 787 |
18 | Applications of genome‐scale metabolic reconstructions | Molecular Systems Biology | 2009 | 772 |
19 | A side effect resource to capture phenotypic effects of drugs | Molecular Systems Biology | 2010 | 772 |
20 | Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial | Molecular Systems Biology | 2018 | 772 |
21 | Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets | Molecular Systems Biology | 2018 | 731 |
22 | The quantitative proteome of a human cell line | Molecular Systems Biology | 2011 | 711 |
23 | Differential network biology | Molecular Systems Biology | 2012 | 701 |
24 | PREDICT: a method for inferring novel drug indications with application to personalized medicine | Molecular Systems Biology | 2011 | 686 |
25 | Towards a theory of biological robustness | Molecular Systems Biology | 2007 | 666 |
26 | Revisiting biomarker discovery by plasma proteomics | Molecular Systems Biology | 2017 | 649 |
27 | Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models | Molecular Systems Biology | 2010 | 639 |
28 | Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli | Molecular Systems Biology | 2007 | 629 |
29 | A uniform proteomics MS/MS analysis platform utilizing open XML file formats | Molecular Systems Biology | 2005 | 628 |
30 | Novel biomarkers for pre‐diabetes identified by metabolomics | Molecular Systems Biology | 2012 | 627 |
31 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissues | Molecular Systems Biology | 2019 | 627 |
32 | Network‐based global inference of human disease genes | Molecular Systems Biology | 2008 | 594 |
33 | Metabolic networks in motion: 13 C‐based flux analysis | Molecular Systems Biology | 2006 | 590 |
34 | How to infer gene networks from expression profiles | Molecular Systems Biology | 2007 | 586 |
35 | The endocannabinoid system links gut microbiota to adipogenesis | Molecular Systems Biology | 2010 | 564 |
36 | Shifts in growth strategies reflect tradeoffs in cellular economics | Molecular Systems Biology | 2009 | 562 |
37 | Oscillations and variability in the p53 system | Molecular Systems Biology | 2006 | 548 |
38 | Sequence signatures and mRNA concentration can explain two‐thirds of protein abundance variation in a human cell line | Molecular Systems Biology | 2010 | 537 |
39 | The auxin signalling network translates dynamic input into robust patterning at the shoot apex | Molecular Systems Biology | 2011 | 532 |
40 | Human disease classification in the postgenomic era: A complex systems approach to human pathobiology | Molecular Systems Biology | 2007 | 494 |
41 | Metabolic modeling of a mutualistic microbial community | Molecular Systems Biology | 2007 | 493 |
42 | Phosphotyrosine interactome of the ErbB‐receptor kinase family | Molecular Systems Biology | 2005 | 475 |
43 | Metabolomic and transcriptomic stress response of Escherichia coli | Molecular Systems Biology | 2010 | 470 |
44 | Modular cell biology: retroactivity and insulation | Molecular Systems Biology | 2008 | 460 |
45 | Engineering microbial biofuel tolerance and export using efflux pumps | Molecular Systems Biology | 2011 | 447 |
46 | A synthetic Escherichia coli predator–prey ecosystem | Molecular Systems Biology | 2008 | 431 |
47 | Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction | Molecular Systems Biology | 2013 | 426 |
48 | A top‐down systems biology view of microbiome‐mammalian metabolic interactions in a mouse model | Molecular Systems Biology | 2007 | 425 |
49 | Oncogenic K‐Ras decouples glucose and glutamine metabolism to support cancer cell growth | Molecular Systems Biology | 2011 | 424 |
50 | Predicting selective drug targets in cancer through metabolic networks | Molecular Systems Biology | 2011 | 423 |