Benjamín J. Sánchez
Molecular Biology · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 94 citations into it
Whom Benjamín J. Sánchez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Edward J. O'Brien
- Minoru Kanehisa
- Radhakrishnan Mahadevan
- Bernhard O. Palsson
- Scott A. Becker
- Douwe Molenaar
- Jan Schellenberger
- A. Bar‐Even
- Markus Basan
- Susumu Goto
Papers from Benjamín J. Sánchez's perspective
Ordered by how strongly the researchers Benjamín J. Sánchez trusts endorse each paper. Same corpus, a different order for every researcher.
- BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (Nature Protocols)
- Understanding variable importances in forests of randomized trees
- A Whole-Cell Computational Model Predicts Phenotype from Genotype
- The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. (Metabolic Engineering)
- Genome-scale models of metabolism and gene expression extend and refine growth phenotype prediction (Molecular Systems Biology)
- Shifts in growth strategies reflect tradeoffs in cellular economics (Molecular Systems Biology)
- Fast and sensitive protein alignment using DIAMOND
- LibSBML: an API Library for SBML (Bioinform.)
Their papers
- A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism (2019) — 318 citations
- RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor (2018) — 331 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations
- Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints (2017) — 438 citations