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  New trends in chemistry and biotechnology of peptide nucleic acidS 

Minerva Biotecnologica 2008 December;20(4):157-64

Copyright © 2008 EDIZIONI MINERVA MEDICA

language: English

Imaging and prediction of biological activity of peptide nucleic acids by computer-aided approaches

Khan M. T. H. 1, 2, Gambari R. 2, 3

1 Institute of Medical Biology, University of Tromsø Tromsø, Norway 2 BioPharmaNet Department of Biochemistry and Molecular Biology University of Ferrara, Ferrara, Italy 3 Center for Biotechnology University of Ferrara, Ferrara, Italy


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Peptide nucleic acids (PNAs) have been firmly demonstrated to retain biological affects following targeting to cellular molecules, such as genomic DNA, RNA transcripts, mature mRNAs and proteins, including transcription factors. Antisense PNAs, triple-helix forming PNAs and decoy PNAs have been demonstrated to interfere with biological functions. In the present paper the authors review computational approaches employed for the prediction of activity of PNA-based molecules (antisense, decoy, triple-helix molecules). Most of the results obtained with the molecular modeling approaches described have been confirmed by well established molecular biology techniques, including gel retardation, DNase I footprinting, UV-cross linking, surface plasmon resonance (SPR)-based biospecific interaction analysis (BIA). Examples have been reported on the relationship between molecular modeling and biomolecular technologies. The results summarized firmly confirm that computational approaches are very useful to predict biological activity of PNA-based biomolecules and should be considered for drug design and development.

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