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Institution

ETH Zurich

EducationZurich, Switzerland
About: ETH Zurich is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Population & Computer science. The organization has 48393 authors who have published 122408 publications receiving 5111383 citations. The organization is also known as: Swiss Federal Institute of Technology in Zurich & Eidgenössische Technische Hochschule Zürich.


Papers
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Journal ArticleDOI
TL;DR: The latest version of the Groningen Molecular Simulation program package, GROMOS05, has been developed for the dynamical modelling of (bio)molecules using the methods of molecular dynamics, stochastic dynamics, and energy minimization.
Abstract: We present the latest version of the Groningen Molecular Simulation program package, GROMOS05. It has been developed for the dynamical modelling of (bio)molecules using the methods of molecular dynamics, stochastic dynamics, and energy minimization. An overview of GROMOS05 is given, highlighting features not present in the last major release, GROMOS96. The organization of the program package is outlined and the included analysis package GROMOS++ is described. Finally, some applications illustrating the various available functionalities are presented.

601 citations

Journal ArticleDOI
TL;DR: A fundamental understanding of the operando OER mechanism for highly active perovskite catalysts is provided, which significantly differs from design principles based on ex situ characterization techniques.
Abstract: The growing need to store increasing amounts of renewable energy has recently triggered substantial R&D efforts towards efficient and stable water electrolysis technologies. The oxygen evolution reaction (OER) occurring at the electrolyser anode is central to the development of a clean, reliable and emission-free hydrogen economy. The development of robust and highly active anode materials for OER is therefore a great challenge and has been the main focus of research. Among potential candidates, perovskites have emerged as promising OER electrocatalysts. In this study, by combining a scalable cutting-edge synthesis method with time-resolved X-ray absorption spectroscopy measurements, we were able to capture the dynamic local electronic and geometric structure during realistic operando conditions for highly active OER perovskite nanocatalysts. Ba0.5Sr0.5Co0.8Fe0.2O3-δ as nano-powder displays unique features that allow a dynamic self-reconstruction of the material's surface during OER, that is, the growth of a self-assembled metal oxy(hydroxide) active layer. Therefore, besides showing outstanding performance at both the laboratory and industrial scale, we provide a fundamental understanding of the operando OER mechanism for highly active perovskite catalysts. This understanding significantly differs from design principles based on ex situ characterization techniques.

601 citations

Journal ArticleDOI
TL;DR: The mevalonate pathway is essential in plants, many eubacteria and apicomplexan parasites, but not in archaea and animals, and detailed knowledge about the mechanisms may benefit the development of novel antibiotics, antimalarials and herbicides.
Abstract: The mevalonate pathway for the biosynthesis of the universal terpenoid precursors, isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP), is known in considerable detail. Only recently, the existence of a second mevalonate-independent pathway for the biosynthesis of IPP and DMAPP was detected in plants and certain eubacteria. Experiments with 13C and/or 2H-labelled precursors were crucial in the elucidation of this novel route. The pathway is essential in plants, many eubacteria and apicomplexan parasites, but not in archaea and animals. The genes, enzymes and intermediates of this pathway were rapidly unravelled over the past few years. Detailed knowledge about the mechanisms of this novel route may benefit the development of novel antibiotics, antimalarials and herbicides.

601 citations

Journal ArticleDOI
15 Jan 2009-Nature
TL;DR: A synthetic mammalian oscillator based on an auto-regulated sense–antisense transcription control circuit encoding a positive and a time-delayed negative feedback loop enabling autonomous, self-sustained and tunable oscillatory gene expression is described.
Abstract: Autonomous and self-sustained oscillator circuits mediating the periodic induction of specific target genes are minimal genetic time-keeping devices found in the central and peripheral circadian clocks. They have attracted significant attention because of their intriguing dynamics and their importance in controlling critical repair, metabolic and signalling pathways. The precise molecular mechanism and expression dynamics of this mammalian circadian clock are still not fully understood. Here we describe a synthetic mammalian oscillator based on an auto-regulated sense-antisense transcription control circuit encoding a positive and a time-delayed negative feedback loop, enabling autonomous, self-sustained and tunable oscillatory gene expression. After detailed systems design with experimental analyses and mathematical modelling, we monitored oscillating concentrations of green fluorescent protein with tunable frequency and amplitude by time-lapse microscopy in real time in individual Chinese hamster ovary cells. The synthetic mammalian clock may provide an insight into the dynamics of natural periodic processes and foster advances in the design of prosthetic networks in future gene and cell therapies.

601 citations

Journal ArticleDOI
TL;DR: This finding suggests that a close neighbourhood of nesting and foraging habitat within few hundred meters is crucial to maintain populations of these species, and that threshold distances at which half of the population discontinues foraging are a more meaningful parameter for conservation practice than the species specific maximum foraging distances.

600 citations


Authors

Showing all 49062 results

NameH-indexPapersCitations
Ralph Weissleder1841160142508
Ruedi Aebersold182879141881
David L. Kaplan1771944146082
Andrea Bocci1722402176461
Richard H. Friend1691182140032
Lorenzo Bianchini1521516106970
David D'Enterria1501592116210
Andreas Pfeiffer1491756131080
Bernhard Schölkopf1481092149492
Martin J. Blaser147820104104
Sebastian Thrun14643498124
Antonio Lanzavecchia145408100065
Christoph Grab1441359144174
Kurt Wüthrich143739103253
Maurizio Pierini1431782104406
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023700
20221,316
20218,530
20208,660
20197,883
20187,455