A hunter gatherer in our evolutionary history would have faced many threats when physically active, including the risks of predation, snakebite and fractured limbs. In article number 1900156, John R. Speakman argues that these threats in our evolutionary past selected us to be as sedentary as possible. Image credit: Stephanie Summers.
BioEssays is a monthly peer-reviewed review journal covering molecular and cellular biology.Areas covered include genetics, genomics, epigenetics, evolution, developmental biology, neuroscience, human biology, physiology, systems biology, and plant biology.The journal also publishes commentaries on aspects of science communication, education, policy, and current affairs.Looks like you are currently in United States but have requested a page in the United Kingdom site. Would you like to change to the United Kingdom site?With this double issue of BioEssays, for November and December, the last for 2008, I lay down my red pen and retire from the editorship of this journal.I am turning it over to the new Editor, Dr Andrew Moore, formerly of EMBO, with all my best wishes to him for a long, successful and enjoyable term at the helm of BioEssays. This note is, thus, a farewell to “my” authors and the readers of.
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Andrew Moore - 2016 - Bioessays 38 (4):303-303. Genetics and Molecular Biology in Philosophy of Biology Philosophy of Biology, Miscellaneous in Philosophy of Biology.
Editorial team. General Editors: David Bourget (Western Ontario) David Chalmers (ANU, NYU) Area Editors: David Bourget Gwen Bradford.
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Andrew Moore, Editor-in-Chief, BioEssays, Wiley-Blackwell Not attended Sherryl Sundell, Managing Editor Int. J. Cancer Sherryl Sundell, Managing Editor Int. J. Cancer Excellent.
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The fate of eukaryotic proteins, from their synthesis to destruction, is supervised by the ubiquitin-proteasome system (UPS). The UPS is the primary pathway responsible for selective proteolysis of intracellular proteins, which is guided by covalent attachment of ubiquitin to target proteins by E1 (activating), E2 (conjugating), and E3 (ligating) enzymes in a process known as ubiquitylation.
Different laterality indexes are poorly correlated with one another but consistently show the tendency of males and females to be more left- and right- lateralised, respectively.
Protologism is a term invented in the early 2000s by American literary theorist Mikhail Epstein to refer to a word coined by an individual or small group that has not yet been published somewhere independent from the coiner(s). The word may be proposed, extremely new or not established outside a very limited group of people. A protologism becomes a neologism as soon as it appears in published.
Indeed, “integrators” of existing data—informaticists who can provide insight into what appears to be an expensively expansive morass of under- or low-powered studies—should be encouraged and fostered, as eloquently stated in a recent plaidoyer by Andrew Moore of BioEssays.
Publikationen Team Lehre Offene Stellen. Bioessays, 2017, 39(1):1-12. In this review, we summarize the current knowledge of a novel class of proteins, specific chaperones for individual ribosomal proteins. Please see also the nice editorial of the issue on this topic: Helping r-proteins on their way to maturity: Chaperones for the royals of the protein world. by Andrew Moore Nuclear.
Moore and Ritchie have provided an overview of three significant challenges that must be overcome if we are to successfully identify those genetic variations that are associated with health and disease using a genome-wide approach. First, powerful data mining and machine learning methods will need to be developed to computationally model the relationship between combinations of SNPs, other.
Prof Andrew Jarman. Selected publications. 2012. Powell, L.M., Chen, A., Huang, Y.C., Want, P.Y. Kemp, S.E., and Jarman, A.P. 2012. The SUMO pathway promotes bHLH.
Jason H. Moore; Protocol. First Online: 03 November 2014. 6 Citations; 5 Mentions; 2.2k Downloads; Part of the Methods in Molecular Biology book series (MIMB, volume 1253) Abstract. Here we introduce the ReliefF machine learning algorithm and some of its extensions for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the method and then.