Maxime Durot

Molecular Biology · 2008

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 76 citations into it; #8,229 of 17,773 by trust here, #15,531 by citations
• Biomedical Engineering — 12 citations into it; #4,596 of 10,734 by trust here, #9,032 by citations
• Genetics — 10 citations into it

Whom Maxime Durot trusts overall

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

1. Bernhard O. Palsson
2. Jeremy S. Edwards
3. Prit Pharkya
4. Steffen Klamt
5. Anthony P. Burgard
6. C. Schilling
7. Jennie L. Reed
8. Markus W. Covert
9. Kiran Raosaheb Patil
10. Scott A. Becker

Who trusts Maxime Durot overall

1. Ines Thiele
2. Bernhard O. Palsson
3. Matthew A. Oberhardt
4. Xochitl C. Morgan
5. Jan Schellenberger

Papers from Maxime Durot's perspective

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

1. Genome-scale models of microbial cells: evaluating the consequences of constraints (Nature Reviews Microbiology)
2. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
3. The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities. (Proceedings of the National Academy of Sciences of the United States of America)
4. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
5. In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data (Nature Biotechnology)
6. Thirteen Years of Building Constraint-Based In Silico Models of Escherichia coli (Journal of Bacteriology)
7. Genome-scale microbial in silico models: the constraints-based approach. (Trends in Biotechnology)
8. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. (Metabolic Engineering)
9. A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks (Nature Biotechnology)
10. The large-scale organization of metabolic networks (Nature)

Their papers

• Genome-scale models of bacterial metabolism: reconstruction and applications (2008) — 352 citations