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      Capture and detection of Staphylococcus aureus with dual labeled aptamers to cell surface components

      , , , ,
      International Journal of Food Microbiology
      Elsevier BV

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          Most cited references36

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          Mfold web server for nucleic acid folding and hybridization prediction.

          M Zuker (2003)
          The abbreviated name, 'mfold web server', describes a number of closely related software applications available on the World Wide Web (WWW) for the prediction of the secondary structure of single stranded nucleic acids. The objective of this web server is to provide easy access to RNA and DNA folding and hybridization software to the scientific community at large. By making use of universally available web GUIs (Graphical User Interfaces), the server circumvents the problem of portability of this software. Detailed output, in the form of structure plots with or without reliability information, single strand frequency plots and 'energy dot plots', are available for the folding of single sequences. A variety of 'bulk' servers give less information, but in a shorter time and for up to hundreds of sequences at once. The portal for the mfold web server is http://www.bioinfo.rpi.edu/applications/mfold. This URL will be referred to as 'MFOLDROOT'.
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            Aptamers: an emerging class of molecules that rival antibodies in diagnostics.

            Antibodies, the most popular class of molecules providing molecular recognition needs for a wide range of applications, have been around for more than three decades. As a result, antibodies have made substantial contributions toward the advancement of diagnostic assays and have become indispensable in most diagnostic tests that are used routinely in clinics today. The development of the systematic evolution of ligands by exponential enrichment (SELEX) process, however, made possible the isolation of oligonucleotide sequences with the capacity to recognize virtually any class of target molecules with high affinity and specificity. These oligonucleotide sequences, referred to as "aptamers", are beginning to emerge as a class of molecules that rival antibodies in both therapeutic and diagnostic applications. Aptamers are different from antibodies, yet they mimic properties of antibodies in a variety of diagnostic formats. The demand for diagnostic assays to assist in the management of existing and emerging diseases is increasing, and aptamers could potentially fulfill molecular recognition needs in those assays. Compared with the bellwether antibody technology, aptamer research is still in its infancy, but it is progressing at a fast pace. The potential of aptamers may be realized in the near future in the form of aptamer-based diagnostic products in the market. In such products, aptamers may play a key role either in conjunction with, or in place of, antibodies. It is also likely that existing diagnostic formats may change according to the need to better harness the unique properties of aptamers.
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              Multiple sequence alignment with hierarchical clustering.

              F Corpet (1988)
              An algorithm is presented for the multiple alignment of sequences, either proteins or nucleic acids, that is both accurate and easy to use on microcomputers. The approach is based on the conventional dynamic-programming method of pairwise alignment. Initially, a hierarchical clustering of the sequences is performed using the matrix of the pairwise alignment scores. The closest sequences are aligned creating groups of aligned sequences. Then close groups are aligned until all sequences are aligned in one group. The pairwise alignments included in the multiple alignment form a new matrix that is used to produce a hierarchical clustering. If it is different from the first one, iteration of the process can be performed. The method is illustrated by an example: a global alignment of 39 sequences of cytochrome c.
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                Author and article information

                Journal
                International Journal of Food Microbiology
                International Journal of Food Microbiology
                Elsevier BV
                01681605
                January 2018
                January 2018
                : 265
                : 74-83
                Article
                10.1016/j.ijfoodmicro.2017.11.002
                10f2ee00-58b9-4f37-b65d-9669a7e0978a
                © 2018

                https://www.elsevier.com/tdm/userlicense/1.0/

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