E
Eivind Almaas
Researcher at Norwegian University of Science and Technology
Publications - 110
Citations - 3811
Eivind Almaas is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Metabolic network & Flux balance analysis. The author has an hindex of 26, co-authored 96 publications receiving 3410 citations. Previous affiliations of Eivind Almaas include University of Notre Dame & Ohio State University.
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Journal ArticleDOI
Global Organization of Metabolic Fluxes in the Bacterium Escherichia coli
TL;DR: A flux balance analysis of the metabolism of Escherichia coli strain MG1655 shows that network use is highly uneven, which probably represents a universal feature of metabolic activity in all cells, with potential implications for metabolic engineering.
Journal ArticleDOI
Dynamics of information access on the web.
Zoltan Dezso,Eivind Almaas,Eivind Almaas,András Lukács,Balázs Rácz,István Szakadát,Albert-László Barabási,Albert-László Barabási +7 more
TL;DR: The dynamics of visitation of a major news portal, representing the prototype for such a rapidly evolving network, is investigated, finding that the visitation pattern of a news document decays as a power law, in contrast with the exponential prediction provided by simple models of site visitation.
Journal ArticleDOI
Peeling the yeast protein network
Stefan Wuchty,Eivind Almaas +1 more
TL;DR: Applying a core decomposition method which allows us to identify the inherent layer structure of the protein interaction network, it is found that the probability of nodes both being essential and evolutionary conserved successively increases toward the innermost cores.
Journal ArticleDOI
Comparative Genome-Scale Metabolic Reconstruction and Flux Balance Analysis of Multiple Staphylococcus aureus Genomes Identify Novel Antimicrobial Drug Targets
Deok-Sun Lee,Deok-Sun Lee,Deok-Sun Lee,Henry Burd,Jiangxia Liu,Eivind Almaas,Olaf Wiest,Albert-László Barabási,Albert-László Barabási,Zoltán N. Oltvai,Vinayak Kapatral +10 more
TL;DR: It is concluded that metabolic reconstruction and in silico analyses of multiple strains of the same bacterial species provide a novel approach for potential antibiotic target identification.
Journal ArticleDOI
Predicting synthetic rescues in metabolic networks.
Adilson E. Motter,Natali Gulbahce,Natali Gulbahce,Natali Gulbahce,Eivind Almaas,Albert-László Barabási,Albert-László Barabási +6 more
TL;DR: This work computationally study mutants that lack an essential enzyme, and thus are unable to grow or have a significantly reduced growth rate, and shows that several of these mutants can be turned into viable organisms through additional gene deletions that restore their growth rate.