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Debora S. Marks
Researcher at Harvard University
Publications - 151
Citations - 25901
Debora S. Marks is an academic researcher from Harvard University. The author has contributed to research in topics: Protein structure & Biology. The author has an hindex of 49, co-authored 128 publications receiving 22195 citations. Previous affiliations of Debora S. Marks include University of Tübingen & University of Paris.
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Journal ArticleDOI
Human MicroRNA Targets
Bino John,Anton J. Enright,Anton J. Enright,Alexei A. Aravin,Thomas Tuschl,Chris Sander,Debora S. Marks +6 more
TL;DR: This work has predicted target sites on the 3′ untranslated regions of human gene transcripts for all currently known 218 mammalian miRNAs to facilitate focused experiments and suggests that miRNA genes, which are about 1% of all human genes, regulate protein production for 10% or more of allhuman genes.
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MicroRNA targets in Drosophila
TL;DR: The results reaffirm the thesis that miRNAs have an important role in establishing the complex spatial and temporal patterns of gene activity necessary for the orderly progression of development and suggest additional roles in the function of the mature organism.
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The microRNA.org resource: targets and expression
TL;DR: The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation.
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Identification of Virus-Encoded MicroRNAs
Sébastien Pfeffer,Mihaela Zavolan,Friedrich A. Grässer,Minchen Chien,James J. Russo,Jingyue Ju,Bino John,Anton J. Enright,Debora S. Marks,Chris Sander,Thomas Tuschl +10 more
TL;DR: The small RNA profile of cells infected by Epstein-Barr virus is recorded and it is shown that EBV expresses several microRNA (miRNA) genes, which are identified viral regulators of host and/or viral gene expression.
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Direct-coupling analysis of residue coevolution captures native contacts across many protein families
Faruck Morcos,Andrea Pagnani,Bryan Lunt,Arianna Bertolino,Debora S. Marks,Chris Sander,Riccardo Zecchina,José N. Onuchic,Terence Hwa,Martin Weigt +9 more
TL;DR: The findings suggest that contacts predicted by DCA can be used as a reliable guide to facilitate computational predictions of alternative protein conformations, protein complex formation, and even the de novo prediction of protein domain structures, contingent on the existence of a large number of homologous sequences which are being rapidly made available due to advances in genome sequencing.