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Zoltán N. Oltvai

Researcher at University of Pittsburgh

Publications -  108
Citations -  44193

Zoltán N. Oltvai is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Statin & Gene. The author has an hindex of 47, co-authored 99 publications receiving 42051 citations. Previous affiliations of Zoltán N. Oltvai include Pennsylvania State University & Washington University in St. Louis.

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Network biology: understanding the cell's functional organization

TL;DR: This work states that rapid advances in network biology indicate that cellular networks are governed by universal laws and offer a new conceptual framework that could potentially revolutionize the view of biology and disease pathologies in the twenty-first century.
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Bcl-2 heterodimerizes in vivo with a conserved homolog, Bax, that accelerates programed cell death

TL;DR: Overexpressed Bax accelerates apoptotic death induced by cytokine deprivation in an IL-3-dependent cell line and counters the death repressor activity of B cl-2, suggesting a model in which the ratio of Bcl-2 to Bax determines survival or death following an apoptotic stimulus.
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Lethality and centrality in protein networks

TL;DR: It is demonstrated that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.
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The large-scale organization of metabolic networks

TL;DR: In this paper, the authors present a systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life, and show that despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems.
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Hierarchical Organization of Modularity in Metabolic Networks

TL;DR: It is shown that the metabolic networks of 43 distinct organisms are organized into many small, highly connected topologic modules that combine in a hierarchical manner into larger, less cohesive units, with their number and degree of clustering following a power law.