Costas D. Maranas
Molecular Biology · 2003–2019
A researcher in the Science corpus: 10 papers; trusts 43 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 124 citations into it; #968 of 17,773 by trust here, #5,189 by citations
- Biomedical Engineering — 37 citations into it; #1,100 of 10,734 by trust here, #4,052 by citations
- Radiology, Nuclear Medicine and Imaging — 18 citations into it; #1,342 of 3,265 by trust here, #2,400 by citations
- Genetics — 13 citations into it
- Sociology and Political Science — 7 citations into it
- Ecology — 6 citations into it
- Cancer Research — 5 citations into it
Whom Costas D. Maranas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Prit Pharkya
- Anthony P. Burgard
- Bernhard O. Palsson
- C. Schilling
- Radhakrishnan Mahadevan
- Jeremy S. Edwards
- Jennie L. Reed
- Nathan D. Price
- Erwin Frey
- Niels Klitgord
Who trusts Costas D. Maranas overall
- Maxime Durot
- Ali R. Zomorrodi
- Josefa Mula
- Bernhard O. Palsson
- Sridhar Ranganathan
- Prit Pharkya
- Kiran Raosaheb Patil
- Pierre-Yves Bourguignon
- Cheng-Liang Chen
- Jared Adolf-Bryfogle
Papers from Costas D. Maranas's perspective
Ordered by how strongly the researchers Costas D. Maranas trusts endorse each paper. Same corpus, a different order for every researcher.
- Metabolic modeling of microbial strains in silico. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Genome-scale microbial in silico models: the constraints-based approach. (Trends in Biotechnology)
- An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
- Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. (Genome Research)
- In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data (Nature Biotechnology)
- Genome-scale models of microbial cells: evaluating the consequences of constraints (Nature Reviews Microbiology)
- The large-scale organization of metabolic networks (Nature)
- Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
- Cleaning up with genomics: applying molecular biology to bioremediation (Nature Reviews Microbiology)
- 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)
Their papers
- Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization (2003) — 1,297 citations
- OptMAVEn – A New Framework for the de novo Design of Antibody Variable Region Models Targeting Specific Antigen Epitopes (2014) — 88 citations
- OptStrain: a computational framework for redesign of microbial production systems. (2004) — 490 citations
- OptCDR: a general computational method for the design of antibody complementarity determining regions for targeted epitope binding. (2010) — 106 citations
- Flux coupling analysis of genome-scale metabolic network reconstructions. (2004) — 402 citations
- An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems. (2006) — 331 citations
- OptCom: A Multi-Level Optimization Framework for the Metabolic Modeling and Analysis of Microbial Communities (2012) — 392 citations
- OptForce: An Optimization Procedure for Identifying All Genetic Manipulations Leading to Targeted Overproductions (2010) — 430 citations
- Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0 (2019) — 1,031 citations
- Managing demand uncertainty in supply chain planning (2003) — 571 citations