Optimize ncRNA Targeting: A Signal Analysis Based Approach

Non-coding RNAs (ncRNAs) are ribonucleic acids capable to control different genetic and metabolic functions. Digital signal processing (DSP) has been widely applied for analyze DNA sequences. Herein we present a DSP application to filter out the most probable binding site of ncRNAs applied to a miRNA binding site recognition.

[1]  Konstantinos N. Malizos,et al.  Integrative MicroRNA and Proteomic Approaches Identify Novel Osteoarthritis Genes and Their Collaborative Metabolic and Inflammatory Networks , 2008, PloS one.

[2]  I. Cosic Macromolecular bioactivity: is it resonant interaction between macromolecules?-theory and applications , 1994, IEEE Transactions on Biomedical Engineering.

[3]  Mahmood Akhtar,et al.  Optimizing period-3 methods for eukaryotic gene prediction , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[4]  Björn Krüger,et al.  The holistic integration of virtual screening in drug discovery. , 2013, Drug discovery today.

[5]  B. Frey,et al.  Using expression profiling data to identify human microRNA targets , 2007, Nature Methods.

[6]  N. Rajewsky,et al.  Widespread changes in protein synthesis induced by microRNAs , 2008, Nature.

[7]  Aurélien Grosdidier,et al.  Docking, virtual high throughput screening and in silico fragment-based drug design , 2009, Journal of cellular and molecular medicine.

[8]  Markus Lill,et al.  Virtual screening in drug design. , 2013, Methods in molecular biology.

[9]  A. Nair,et al.  A coding measure scheme employing electron-ion interaction pseudopotential (EIIP) , 2006, Bioinformation.

[10]  R. Weinberg,et al.  Tumour invasion and metastasis initiated by microRNA-10b in breast cancer , 2007, Nature.

[11]  I. Cosic,et al.  Investigation of the applicability of dielectric relaxation properties of amino acid solutions within the resonant recognition model , 2003, IEEE Transactions on NanoBioscience.

[12]  A Lavecchia,et al.  Virtual screening strategies in drug discovery: a critical review. , 2013, Current medicinal chemistry.

[13]  P. Arrigo,et al.  Comparative Analysis of Rac1 Binding Efficiency With Different Classes of Ligands: Morpholines, Flavonoids and Imidazoles , 2012, IEEE Transactions on NanoBioscience.

[14]  Bin Wang Base Composition Characteristics of Mammalian miRNAs , 2013, Journal of nucleic acids.

[15]  Patrizio Arrigo,et al.  Potentially functional regions of nucleic acids recognized by a Kohonen's self-organizing map , 1993, Comput. Appl. Biosci..