Jonathan M. Monk

Molecular Biology · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan M. Monk trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bernhard O. Palsson
  2. Ines Thiele
  3. Scott A. Becker
  4. Tomer Shlomi
  5. Jennie L. Reed
  6. Adam M. Feist
  7. Christopher S. Henry
  8. C. Schilling
  9. Sriram Chandrasekaran
  10. Anthony P. Burgard

Who trusts Jonathan M. Monk overall

  1. James C. Liao
  2. Zachary A. King
  3. Edward J. O'Brien
  4. Benjamín J. Sánchez
  5. R. Jacoby

Papers from Jonathan M. Monk's perspective

Ordered by how strongly the researchers Jonathan M. Monk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
  2. Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective. (Journal of Theoretical Biology)
  3. BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
  4. Understanding variable importances in forests of randomized trees
  5. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
  6. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
  7. The challenges of in silico biology (Nature Biotechnology)
  8. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection (Molecular Systems Biology)
  9. Metabolic network structure determines key aspects of functionality and regulation (Nature)
  10. Thermodynamics-based metabolic flux analysis. (Biophysical Journal)

Their papers