Aarash Bordbar

Molecular Biology · 2007–2019

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 131 citations into it; #11,478 of 17,773 by trust here, #7,574 by citations
• Biomedical Engineering — 28 citations into it

Whom Aarash Bordbar trusts overall

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

1. Bernhard O. Palsson
2. Scott A. Becker
3. Tomer Shlomi
4. Kiran Raosaheb Patil
5. C. Schilling
6. Sriram Chandrasekaran
7. Ines Thiele
8. Anthony P. Burgard
9. Jeffrey D. Orth
10. Sang Yup Lee

Who trusts Aarash Bordbar overall

1. Zachary A. King
2. Edward J. O'Brien
3. Bernhard O. Palsson
4. Andreas Dräger
5. Nicolas Le Novère
6. P. Schulte
7. Jonathan M. Monk
8. Ali Ebrahim

Papers from Aarash Bordbar's perspective

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

1. Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective. (Journal of Theoretical Biology)
2. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
3. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
4. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
5. In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data (Nature Biotechnology)
6. Metabolic network structure determines key aspects of functionality and regulation (Nature)
7. Network-based prediction of human tissue-specific metabolism (Nature Biotechnology)
8. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection (Molecular Systems Biology)
9. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (Nature Protocols)
10. Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model. (Genome Research)

Their papers

• Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (2007) — 1,776 citations
• Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis (2015) — 46 citations
• Constraint-based models predict metabolic and associated cellular functions (2014) — 835 citations
• Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0 (2019) — 1,031 citations