A
Andreas Wagner
Researcher at University of Zurich
Publications - 390
Citations - 20528
Andreas Wagner is an academic researcher from University of Zurich. The author has contributed to research in topics: Gene & Robustness (evolution). The author has an hindex of 67, co-authored 352 publications receiving 18637 citations. Previous affiliations of Andreas Wagner include University of New Mexico & California State University, Northridge.
Papers
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Journal ArticleDOI
The small world inside large metabolic networks
Andreas Wagner,David A. Fell +1 more
TL;DR: In this article, a graph theoretical analysis of the E. coli metabolic network was performed and it was shown that the connectivity of the metabolites follows a power law, another unusual but by no means rare statistical distribution, which provides an objective criterion for the centrality of the tricarboxylic acid cycle to metabolism.
Book
Robustness and Evolvability in Living Systems
TL;DR: This book discusses robustness in Natural Systems and Self-Organization, as well as Robustness in Man-made Systems, and seven open questions for Systems Biology.
Journal ArticleDOI
Perspective: Evolution and detection of genetic robustness.
J. Arjan G. M. de Visser,Joachim Hermisson,Günter P. Wagner,Lauren Ancel Meyers,Homayoun Bagheri-Chaichian,Jeffrey L. Blanchard,Lin Chao,James M. Cheverud,Santiago F. Elena,Walter Fontana,Greg Gibson,Thomas F. Hansen,David C. Krakauer,Richard C Lewontin,Charles Ofria,Sean H. Rice,George von Dassow,Andreas Wagner,Michael C. Whitlock +18 more
TL;DR: This work focuses on the first kind of robustness—genetic robustness)—and survey three growing avenues of research: measuring genetic robustness in nature and in the laboratory; understanding the evolution of genetic robusts; and exploring the implications of genetic resilientness for future evolution.
Journal ArticleDOI
Robustness and evolvability: a paradox resolved.
TL;DR: It is confirmed that genotype (sequence) robustness and evolvability share an antagonistic relationship, which means that finite populations of sequences with a robust phenotype can access large amounts of phenotypic variation while spreading through a neutral network.
Journal ArticleDOI
The Yeast Protein Interaction Network Evolves Rapidly and Contains Few Redundant Duplicate Genes
TL;DR: The structure and evolution of the protein interaction network of the yeast Saccharomyces cerevisiae is analyzed and it is shown that the persistence of redundant interaction partners is the exception rather than the rule.