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Articles 1 - 4 of 4
Full-Text Articles in Bioinformatics
Molecular Characterisation Of A Bovine-Like Rotavirus Detected From A Giraffe, Emily Mulherin, Jill Bryan, Marijke Beltman, Luke O'Grady, Eugene Pidgeon, Lucie Garon, Andrew Lloyd, John Bainbridge, Helen O'Shea, Paul Whyte, Séamus Fanning
Molecular Characterisation Of A Bovine-Like Rotavirus Detected From A Giraffe, Emily Mulherin, Jill Bryan, Marijke Beltman, Luke O'Grady, Eugene Pidgeon, Lucie Garon, Andrew Lloyd, John Bainbridge, Helen O'Shea, Paul Whyte, Séamus Fanning
Department of Biological Sciences Publications
Background
Rotavirus (RV), is a member of the Reoviridae family and an important etiological agent of acute viral gastroenteritis in the young. Rotaviruses have a wide host range infecting a broad range of animal species, however little is known about rotavirus infection in exotic animals. In this paper we report the first characterisation of a RV strain from a giraffe calf.
Results
This report describes the identification and detailed molecular characterisation of a rotavirus strain detected from a 14-day-old Giraffe (Giraffa camelopardalis), presenting with acute diarrhea. The RV strain detected from the giraffe was characterized molecularly as G10P[11]. …
Computational Design Of Orthogonal Ribosomes, Lon Chubiz, Christopher Rao
Computational Design Of Orthogonal Ribosomes, Lon Chubiz, Christopher Rao
Biology Department Faculty Works
Orthogonal ribosomes (o-ribosomes), also known as specialized ribosomes, are able to selectively translate mRNA not recognized by host ribosomes. As a result, they are powerful tools for investigating translational regulation and probing ribosome structure. To date, efforts directed towards engineering o-ribosomes have involved random mutagenesisbased approaches. As an alternative, we present here a computational method for rationally designing o-ribosomes in bacteria. Working under the assumption that base-pair interactions between the 16S rRNA and mRNA serve as the primary mode for ribosome binding and translational initiation, the algorithm enumerates all possible extended recognition sequences for 16S rRNA and then chooses those …
Novel Functions Of Acyl-Coa Thioesterases And Acyltransferases As Auxiliary Enzymes In Peroxisomal Lipid Metabolism., Mary Hunt, Stefan Alexson
Novel Functions Of Acyl-Coa Thioesterases And Acyltransferases As Auxiliary Enzymes In Peroxisomal Lipid Metabolism., Mary Hunt, Stefan Alexson
Articles
Peroxisomes are single membrane bound organelles present in almost all eukaryotic cells, and to date have been shown to contain approximately 60 identified enzymes involved in various metabolic pathways, including the oxidation of a variety of lipids. These lipids include very long-chain fatty acids, methyl branched fatty acids, prostaglandins, bile acid precursors, and xenobiotics that are either β-oxidized or α-oxidized in peroxisomes. The recent identification of several acyl-CoA thioesterases and acyltransferases in peroxisomes has revealed their various functions in acting as auxiliary enzymes in α- and β-oxidation in this organelle. To date, 9 functional acyl-CoA thioesterases and acyltransferases have been …
Improved Constrained Global Optimization For Estimating Molecular Structure From Atomic Distances, Terri Marie Grant
Improved Constrained Global Optimization For Estimating Molecular Structure From Atomic Distances, Terri Marie Grant
Mathematics & Statistics Theses & Dissertations
Determination of molecular structure is commonly posed as a nonlinear optimization problem. The objective functions rely on a vast amount of structural data. As a result, the objective functions are most often nonconvex, nonsmooth, and possess many local minima. Furthermore, introduction of additional structural data into the objective function creates barriers in finding the global minimum, causes additional computational issues associated with evaluating the function, and makes physical constraint enforcement intractable. To combat the computational problems associated with standard nonlinear optimization formulations, Williams et al. (2001) proposed an atom-based optimization, referred to as GNOMAD, which complements a simple interatomic distance …