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The macroscopic curvature of double helical DNA induced by regularly repeated adenine tracts is well-known but still puzzling. Its physical origin remains controversial even though it is perhaps the best-documented sequence modulation of…

Biological Physics · Physics 2007-05-23 Alexey K. Mazur , Dimitri E. Kamashev

We exploit Surface-Enhanced Raman Scattering (SERS) to investigate aqueous droplets of genomic DNA deposited onto silver-coated silicon nanowires and we show that it is possible to efficiently discriminate between spectra of tumoral and…

The programmable assembly of DNA strands is a promising tool for building tailored bottom-up nanostructures. Here, we present a plasmonic nanosystem obtained by the base-pairing mediated aggregation of gold nanoparticles (NPs) which are…

Applied Physics · Physics 2019-12-03 D. Caprara , F. Ripanti , A. Capocefalo , A. Sarra , F. Brasili , C. Petrillo , C. Fasolato , P. Postorino

Using supercharacter theory, we identify the matrices that are diagonalized by the discrete cosine and discrete sine transforms, respectively. Our method affords a combinatorial interpretation for the matrix entries.

Functional Analysis · Mathematics 2021-02-05 Stephan Ramon Garcia , Samuel Yih

The article is devoted to a matrix method of comparative analysis of long nucleotide sequences by means of a presentation of each sequence in a form of three digital binary sequences. This method uses biochemical attributes of nucleotides…

Other Quantitative Biology · Quantitative Biology 2013-11-01 Ivan V. Stepanyan , Sergey V. Petoukhov

It is a standard exercise in mechanical engineering to infer the external forces and torques on a body from its static shape and known elastic properties. Here we apply this kind of analysis to distorted double-helical DNA in complexes with…

Biomolecules · Quantitative Biology 2009-11-13 Nils B. Becker , Ralf Everaers

Hierarchical biomaterials embody nature's intricate design principles, offering advanced functionalities through the complex, multi-level organization of their molecular and nanosized building blocks. However, the comprehensive…

Mesoscale and Nanoscale Physics · Physics 2024-07-10 Matteo Busi , Elisabetta Nocerino , Agnes Åhl , Lennart Bergström , Markus Strobl

The experiment that the high spin selectivity and the length-dependent spin polarization are observed in double-stranded DNA [Science ${\bf 331}$, 894 (2011)], is elucidated by considering the combination of the spin-orbit coupling, the…

Mesoscale and Nanoscale Physics · Physics 2015-06-03 Ai-Min Guo , Qing-feng Sun

Recently, it has been observed that {0,1,-1}-ternary codes which are simply generated from deep features by hard thresholding, tend to outperform {-1,1}-binary codes in image retrieval. To obtain better ternary codes, we for the first time…

Computer Vision and Pattern Recognition · Computer Science 2021-07-19 Mingrui Chen , Weiyu Li , Weizhi Lu

The success of graphene for nanopore DNA sequencing has shown that it is possible to explore other potential single-atom and few-atom thick layers of elemental 2D materials beyond graphene (e.g., phosphorene and silicene). Using density…

Mesoscale and Nanoscale Physics · Physics 2021-12-15 Matthew B. Henry , Mukesh Tumbapo , Benjamin O. Tayo

The nucleotide sequence representation of DNA can be inadequate for resolving protein-DNA binding sites and regulatory substrates, such as those involved in gene expression and horizontal gene transfer. Considering that sequence-like…

Genomics · Quantitative Biology 2020-07-30 Jan Zrimec

Recent research on silver nanowires prepared on DNA templates has focused on two fundamental applications: nano-scale circuits and sensors. Despite its broad potential, the formation kinetics of DNA-templated silver nanowires remains…

Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent property of medical…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Mohammad Reza Hosseinzadeh Taher , Michael B. Gotway , Jianming Liang

The structural parameters of alpha helix and some forms of DNA-structures are determined by methods of algebraic topology. These structures are locally periodic and correspond to the bifurcation point for minimal surfaces given by…

Materials Science · Physics 2013-12-30 M. I. Samoylovich , A. L. Talis

We calculate the spectrum of torsional vibrations of a double-stranded structure that models the double helix of the DNA. We come to the conclusion that within the framework of the model elementary excitations may display an asymmetry as…

Soft Condensed Matter · Physics 2007-05-23 V. L. Golo , E. I. Kats , Yu. M. Yevdokimov

In this paper we treat some fractal and statistical features of the DNA sequences. First, a fractal record model of DNA sequence is proposed by mapping DNA sequences to integer sequences, followed by R/S analysis of the model and…

Biological Physics · Physics 2018-01-17 Zu-Guo Yu , Guo-Yi Chen

Tile assembly systems in the abstract Tile Assembly Model (aTAM) are computationally universal and capable of building complex shapes, but DNA-based implementations encounter formidable error rates that stifle this theoretical potential.…

Computational Geometry · Computer Science 2024-05-13 Phillip Drake , Daniel Hader , Matthew J. Patitz

It is shown that metric representation of DNA sequences is one-to-one. By using the metric representation method, suppression of nucleotide strings in the DNA sequences is determined. For a DNA sequence, an optimal string length to display…

Biological Physics · Physics 2007-05-23 Zuo-Bing Wu

We investigate irreversibility and dissipation in single molecules that cooperatively fold/unfold in a two state manner under the action of mechanical force. We apply path thermodynamics to derive analytical expressions for the average…

Statistical Mechanics · Physics 2009-02-25 Maria Manosas , Alessandro Mossa , Nuria Forns , Josep Maria Huguet , Felix Ritort

Recently, the deep neural network (derived from the artificial neural network) has attracted many researchers' attention by its outstanding performance. However, since this network requires high-performance GPUs and large storage, it is…

Neural and Evolutionary Computing · Computer Science 2016-02-25 Song Wang , Dongchun Ren , Li Chen , Wei Fan , Jun Sun , Satoshi Naoi