Výsledky vyhledávání - "Christine B. Kofoed"

Interaction of Avilamycin with Ribosomes and Resistance Caused by Mutations in 23S rRNA

Autor: Birte Vester, Christine B. Kofoed

Publikováno v: Antimicrobial Agents and Chemotherapy. 46:3339-3342

The antibiotic growth promoter avilamycin inhibits protein synthesis by binding to bacterial ribosomes. Here the binding site is further characterized on Escherichia coli ribosomes. The drug interacts with domain V of 23S rRNA, giving a chemical foot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed3d752c522af2e08a1015bbf9c15406
https://doi.org/10.1128/aac.46.11.3339-3342.2002

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Inhibition of the ribosomal peptidyl transferase reaction by the mycarose moiety of the antibiotics carbomycin, spiramycin and tylosin

Autor: Christine B. Kofoed, Birte Vester, Susan M. Poulsen

Publikováno v: Poulsen, S M, Kofoed, C & Vester, B 2000, ' Inhibition of the ribosomal peptidyl transferase reaction by the mycarose moiety of the antibiotics carbomycin, spiramycin and tylosin. ', Journal of Molecular Biology, vol. 304, no. 3, pp. 471-81 . https://doi.org/10.1006/jmbi.2000.4229

Udgivelsesdato: 2000-Dec-1 Many antibiotics, including the macrolides, inhibit protein synthesis by binding to ribosomes. Only some of the macrolides affect the peptidyl transferase reaction. The 16-member ring macrolide antibiotics carbomycin, spira

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83e85060270257f94c685fb05331ac2a
https://pubmed.ncbi.nlm.nih.gov/11090288

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Identification of phosphorylation sites in protein kinase A substrates using artificial neural networks and mass spectrometry

Autor: Ole N. Jensen, Thomas E. Rasmussen, Allan Stensballe, Martin R. Larsen, Steen Gammeltoft, Christine B Kofoed, Majbrit Hjerrild, Nikolaj Blom, Thomas Sicheritz-Pontén, Søren Brunak

Publikováno v: Technical University of Denmark Orbit

Protein phosphorylation plays a key role in cell regulation and identification of phosphorylation sites is important for understanding their functional significance. Here, we present an artificial neural network algorithm: NetPhosK (http://www.cbs.dt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::549d6ba10dcd2ef382bf14c2521cb1af
https://orbit.dtu.dk/en/publications/e72f22e1-0fe9-4d8a-b9b7-83550c1d22ea

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