Prit Pharkya
Molecular Biology · 2003–2006
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it; #1,371 of 17,773 by trust here, #7,574 by citations
- Biomedical Engineering — 16 citations into it; #1,319 of 10,734 by trust here, #5,112 by citations
Whom Prit Pharkya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson
- C. Schilling
- Anthony P. Burgard
- Nathan D. Price
- Jennie L. Reed
- Jeremy S. Edwards
- Radhakrishnan Mahadevan
- Costas D. Maranas
- Minoru Kanehisa
- Derek R. Lovley
Who trusts Prit Pharkya overall
- Maxime Durot
- Costas D. Maranas
- Sridhar Ranganathan
- Ali R. Zomorrodi
- Bernhard O. Palsson
- Pierre-Yves Bourguignon
- Kiran Raosaheb Patil
- Patrick F. Suthers
- Isabel Rocha
- V. Schachter
Papers from Prit Pharkya's perspective
Ordered by how strongly the researchers Prit Pharkya trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Metabolic modeling of microbial strains in silico. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Cleaning up with genomics: applying molecular biology to bioremediation (Nature Reviews Microbiology)
- Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes (Nature Genetics)
- The EcoCyc Database (Nucleic Acids Res.)
- Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
Their papers
- Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization (2003) — 1,297 citations
- OptStrain: a computational framework for redesign of microbial production systems. (2004) — 490 citations
- An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems. (2006) — 331 citations