Publications by authors named "Victor V Solovyev"

Exceptionally strong enhancement of the Raman signal exceeding eight orders of magnitude for near-infrared (1064 nm) excitation is demonstrated for an array of dielectric submicron pillars covered by a relatively thick metal layer. The microstructure is designed to support 'spoof' plasmon-polariton excitations with resonant frequencies significantly below the fundamental surface plasmon resonance. Experiments reveal a relatively narrow range of spatial parameters for the optimal resonant scattering enhancement.

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Apart from the main plasmon-polariton resonance of the surface-enhanced Raman scattering (SERS) occurring at 480 - 530 nm, an additional resonance was observed for substrates with two silver layers separated by a dielectric layer which support extra plasmon modes with decreased group velocities. The novel SERS resonance is shifted towards lower energies and has comparable amplitude, its exact energy position being determined by the thickness of the dielectric interlayer. The experimental findings provide a ground for the engineering of SERS-substrates with the spectral position of the additional resonance matched with the photon energy of the pump laser over a fairly wide range of laser wavelengths.

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Article Synopsis
  • The study addresses the challenge of accurately identifying promoters—key DNA regions that initiate transcription—using Convolutional Neural Networks (CNN) to analyze sequence features across different organisms, including humans, mice, plants, and bacteria.
  • CNN models achieved high accuracy in classifying promoters, with significant success rates for TATA and non-TATA promoters, particularly in human and Arabidopsis sequences, indicating the effectiveness of the deep learning approach in capturing complex promoter characteristics.
  • A new program, CNNProm, has been developed to utilize these CNN models for promoter prediction, which can be broadly applied to various genomes, and includes a random substitution method to identify conserved functional elements without needing specific promoter features.
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Our current knowledge of eukaryotic promoters indicates their complex architecture that is often composed of numerous functional motifs. Most of known promoters include multiple and in some cases mutually exclusive transcription start sites (TSSs). Moreover, TSS selection depends on cell/tissue, development stage and environmental conditions.

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Unlabelled: Gene transcription is mostly conducted through interactions of various transcription factors and their binding sites on DNA (regulatory elements, REs). Today, we are still far from understanding the real regulatory content of promoter regions. Computer methods for identification of REs remain a widely used tool for studying and understanding transcriptional regulation mechanisms.

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The origins of neural systems remain unresolved. In contrast to other basal metazoans, ctenophores (comb jellies) have both complex nervous and mesoderm-derived muscular systems. These holoplanktonic predators also have sophisticated ciliated locomotion, behaviour and distinct development.

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A report on 'A Wellcome Trust Scientific Conference: Applied Bioinformatics and Public Health Microbiology 2011', Hinxton, Cambridge, 1-3 June, 2011.

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Promoter sequences are the main regulatory elements of gene expression. Their recognition by computer algorithms is fundamental for understanding gene expression patterns, cell specificity and development. This chapter describes the advanced approaches to identify promoters in animal, plant and bacterial sequences.

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Background: This study analyzes the predictions of a number of promoter predictors on the ENCODE regions of the human genome as part of the ENCODE Genome Annotation Assessment Project (EGASP). The systems analyzed operate on various principles and we assessed the effectiveness of different conceptual strategies used to correlate produced promoter predictions with the manually annotated 5' gene ends.

Results: The predictions were assessed relative to the manual HAVANA annotation of the 5' gene ends.

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Microbial communities are vital in the functioning of all ecosystems; however, most microorganisms are uncultivated, and their roles in natural systems are unclear. Here, using random shotgun sequencing of DNA from a natural acidophilic biofilm, we report reconstruction of near-complete genomes of Leptospirillum group II and Ferroplasma type II, and partial recovery of three other genomes. This was possible because the biofilm was dominated by a small number of species populations and the frequency of genomic rearrangements and gene insertions or deletions was relatively low.

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Pairwise comparison of whole plastid and draft nuclear genomic sequences of Arabidopsis thaliana and Oryza sativa L. ssp. indica shows that rice nuclear genomic sequences contain homologs of plastid DNA covering about 94 kb (83%) of plastid genome and including one or more full-length intact (without mutations resulting in premature stop codons) homologues of 26 known protein-coding (KPC) plastid genes.

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Unlabelled: In this paper we propose a new method for recognition of prokaryotic promoter regions with startpoints of transcription. The method is based on Sequence Alignment Kernel, a function reflecting the quantitative measure of match between two sequences. This kernel function is further used in Dual SVM, which performs the recognition.

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PlantProm DB, a plant promoter database, is an annotated, non-redundant collection of proximal promoter sequences for RNA polymerase II with experimentally determined transcription start site(s), TSS, from various plant species. The first release (2002.01) of PlantProm DB contains 305 entries including 71, 220 and 14 promoters from monocot, dicot and other plants, respectively.

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