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15th international conference on Pulsed Lasers and Laser Applications

作者： Laptinskiy, Kirill A. Burikov, Sergey A. Khmeleva, Maria Yu. Dolenko, Tatiana A. D.V. Skobeltsyn Institute of Nuclear Physics M. V. Lomonosov Moscow State University Moscow Russia Physical Department M. V. Lomonosov Moscow State University Moscow Russia

ISBN: (数字)9781510650497

ISBN: (纸本)9781510650480

CARS method was used to study the interactions of biomacromolecules with carbon dots synthesized by the hydrothermal method. A significant effect of CDs on molecular bonds in dna chains during their interaction in water was found. As a result of the analysis of the obtained CARS dna spectra before and after their interactions with nanoparticles in water, markers were identified that indicate the presence of oxidative stress on dna strands in the presence of CDs. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： dna

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Distribution of Wind Power Plants to Reduce Variability of Renewable Generation

Distribution of Wind Power Plants to Reduce Variability of R...

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15th international Scientific conference on Electric Power Engineering (EPE)

作者： Debnath, Dhrupad Musilek, Petr Heckenbergerova, Jana Univ Alberta Elect & Comp Engn Edmonton AB Canada VSB TU Ostrava Comp Sci Ostrava Czech Republic Univ Pardubice Dept Math & Phys Elect Engn & Informat Pardubice Czech Republic

ISBN: (纸本)9781479938070

As the penetration of wind power into generation mix increases, the issue of its integration into the power grid becomes more and more important. the variability of wind power generation is a major concern as wind is highly intermittent. this may result in significant overproduction at times, followed by complete unavailability of wind power at other periods. this intermittency must be compensated for by other, conventional generation sources such as coal and gas fired power plants. this reduces the overall efficiency of the system due to the need of running some generators as spinning reserves, and lowers the overall contribution of renewable generation to the mitigation of greenhouse gas emissions. this paper examines the possibility to optimize the spatial distribution of wind power plants over an extended area to decrease the overall variability of wind power generation in a system. In particular, it considers the integration of spatially distributed wind power generation in the wind-rich province of Alberta, Canada. the distribution of power plants is optimized using simulated annealing and quadratic programming. the results clearly show that the variability of wind power generation can be reduced if the wind resources are integrated over a wide geographic area.

关键词： Wind energy generation Wind power plants Wind energy Greenhouse gas emissions Wind farms Power grids generation mix Power Plants dna Integration integration Geographic Regions

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Design of molecular-based network robots-Toward the environmental control

Design of molecular-based network robots-Toward the environm...

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2011 11th IEEE international conference on Nanotechnology, NANO 2011

作者： Hirabayashi, Miki Nishikawa, Akio Tanaka, Fumiaki Hagiya, Masami Kojima, Hiroaki Oiwa, Kazuhiro Advanced ICT Research Institute National Institute of Information and Communications Technology Hyogo Japan Hosei University Tokyo Japan Department of Computer Science Grad School of Information Science and Technology University of Tokyo Tokyo Japan

ISBN: (纸本)9781457715143

Toward the intelligent control of internal and external environments, we present an idea of the sequence design for the network formation of dna-based nanorobots. We already developed a dna nanomachine that has the potential ability of producing a functional molecule called aptamer when bacterial two-component signal transduction systems are detected. Here we have succeeded in demonstrating the network formation based on the sticky-end programming of dna modules. By combining the aptamer transcription function with the network formation ability, we can implement various missions in dna nanomacines. the network design is essential to keep the appropriate density, configurations and functions to carry out target missions. We expect that the network of dna nanorobots make a contribution to realize the effective regulation of microorganisms to promote environmental preservation and health maintenance. © 2011 IEEE.

关键词： dna

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Rapid detection of bacterial cell from whole blood: Integration of dna sample preparation into single micro-PCR chip

Rapid detection of bacterial cell from whole blood: Integrat...

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TRANSDUCERS 2009 - 15th international conference on Solid-State Sensors, Actuators and Microsystems

作者： Hwang, K.Y. Jung, S.Y. Han, J.I. Kim, Y.R. Kim, J.H. Samsung Electronics Co. Ltd. Yongin-Si Gyeonggi-Do Korea Republic of College of Life Sciences and Biotechnology KyungHee University Yongin-Si Gyeonggi-Do Korea Republic of

ISBN: (纸本)9781424441938

A novel bacterial cell detection method from whole blood has been developed for molecular diagnostics. Functional integration of dna sample preparation into polymerase chain reaction (PCR) chip enabled detection of pathogenic bacterial cells in a single microchip. Surface-modified micropillars possessing affinity for bacterial cells were fabricated inside a PCR chip, and reaction conditions were optimized to render the microchip with high surface-to-volume ratio PCR-compatible. After bacterial cells were captured on the micropillars from whole blood and PCR inhibitors were washed out, PCR mixture was injected to allow real-time amplification of dna extracted from the isolated cells. Cell enrichment effect produced by volume reduction from large initial sample to small micro-PCR chip chamber led to increased detection sensitivity. Moreover, the developed method from sample preparation to detection of bacterial cells took less than one hour. these results demonstrated that the surface-modified pillar-packed microchip would be a practical approach for integration into Lab-on-a-chip (LOC) to enable point-of-care genetic analysis. ©2009 IEEE.

关键词： dna

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Genalign — A high performance implementation for aligning the compressed dna sequences

Genalign — A high performance implementation for aligning t...

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international conference on Advanced computing Technologies (ICACT)

作者： D Satyanvesh Kaliuday Balleda P K Baruah Sri Sathya Sai Institute of Higher Learning Prasanthi Nilayam India

In molecular biology, sequence alignment is a way of arranging dna, RNA or protein sequences to identify regions of similarity between the sequences. However, this is a challenging problem since the dna sequences are huge in size and the databases are growing at an exponential rate. It requires tremendous amount of memory and large computational power. For example, the human genome in raw format ranges from 2 to 30 Tera-bytes. the inherent property of dna is that it contains many repeats which makes it highly compressible. this paper presents a new approach of aligning the sequences after compressing them. the alignment consists of both ungapped and gapped alignment. Multi-cores and GPUs can be used to align these huge sequences quickly on the compressed sequences. the focus mainly is on aligning the huge sequences accurately. the ungapped alignment achieves a speedup of upto 56 on K20 Kepler GPUs and the gapped alignment achieves a speedup of upto 15 on multi-cores.

关键词： dna Graphics processing units Dynamic programming Heuristic algorithms Instruction sets Random access memory Bioinformatics

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A Prediction Method of dna-Binding Proteins Based on Evolutionary Information 15th

A Prediction Method of DNA-Binding Proteins Based on Evoluti...

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15th international conference on Intelligent computing, ICIC 2019

作者： Lu, Weizhong Song, Zhengwei Ding, Yijie Wu, Hongjie Huang, Hongmei School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China Suzhou Key Laboratory of Virtual Reality Intelligent Interaction and Application Technology Suzhou University of Science and Technology Suzhou215009 China

ISBN: (纸本)9783030269685

dna is the carrier of genetic information in organisms, and dna-binding protein is one type of unwinding enzymes, which plays a key role in various biological molecular functions. that has greatly promoted the research of various methods for identifying dna-binding proteins. In recent years, researchers have developed a Machine Learning-based method to predict dna-binding proteins quickly and accurately. Although the prediction accuracy of current methods is considerable, the performance of their prediction can be further improved. In this paper, a dna-binding proteins prediction model based on PSSM (Position Specific Scoring Matrix) features and Random Forest classifier is proposed. the results of experiments show that the proposed method can achieve great prediction performance on PDB1075 and PDB186 datasets, whose accuracy is 82.14% and 79.0%, respectively. Experiments show that the method can be compared with other methods, and even surpass the previous methods on some datasets. © 2019, Springer Nature Switzerland AG.

关键词： dna

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Primary structure of guinea pig plasma prekallikrein

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IMMUNOPHARMACOLOGY 1999年第1-3期45卷 127-134页

作者： Shibuya, Y Semba, U Nishino, N Khan, MMH Tanase, S Okabe, H Yamamoto, T Kumamoto Univ Grad Sch Med Sci Div Mol Pathol Kumamoto 8600811 Japan Kumamoto Univ Sch Med Dept Biochem Kumamoto 8600811 Japan Kumamoto Univ Sch Med Dept Lab Med Kumamoto 8600811 Japan Kyushu Inst Technol Dept Appl Chem Kitakyushu Fukuoka 8040015 Japan

A full length guinea pig plasma prekallikrein (PK) cdna was cloned from a liver cdna library. the nucleotide sequence with 2242 bp was analyzed and the amino acid sequence with 618 residues was deduced. Kallikrein was purified from guinea pig plasma and cleavage site in the activation was determined. the amino acid sequence around the cleavage site -(368)Ile-Asp-Ala-Arg-Ile-Val-Gly-(375)Gly- differed from that of the human PK -(368)thr-Ser-thr-Arg-Ile-Val-Gly-(375)Gly-. Protease substrates containing penta-peptides which mimicked the sequence of the cleavage sites from P-3 to P-2' of guinea pig Hageman factor (HF) and PK were synthesized, and kinetic analyses of the hydrolysis by guinea pig activated HF (HFa) and kallikrein were carried out. the combination between HFa and the PK mimicking peptide provided the best kinetics. these results in part explain why the cascade activation of PK by HFa is predominant in the guinea pig system. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： plasma prekallikrein amino acid sequence cdna guinea pig

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Fractal dimension of self-assembled 50 bp poly(da)·poly(dt) dna on hopg surface 15

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15th international conference on Biomedical Engineering, ICBME 2013

作者： Nii, R. Takeuchi, H. Doi, K. Kawano, Satoyuki Dept. of Mechanical Science and Bioengineering Graduate School of Engineering Science Osaka University Toyonaka Osaka560-8531 Japan

ISBN: (纸本)9783319029122

Deoxyribonucleic acid (dna) has attracted much attention to be utilized for technological applications of its various cellular functions and possibility to fabricate nanoscaled patterns on various substrate surfaces. Several techniques have also been applied to manipulate biomacromolecules. In our previous studies, self-assembled network patterns of poly(dA)·poly(dT) dna on mica and highly oriented pyrolytic graphite (HOPG) surface could be fabricated and observed by atomic force microscopy (AFM), which is preprocessed by a specific solution concentration of MgCl2. Although negatively charged dna molecules repulsively interact with negatively polarized HOPG surfaces, we built our fabrication techniques to produce self-assembled dna. Focusing on the associated self-assembly mechanism, we develop and perform coarse-grained molecular dynamics simulations, in which 50 base-pairs (bp) long dna fragments are modeled considering both intra- and inter-molecular interactions between the dna and HOPG surface in aqueous solution. Using this model, we carry out Langevin dynamics simulations. As a result, the network pattern formations, in which dna fragments make bonds and bundle structures, are replicated. Our results also indicate that thermal fluctuations in solution work effectively to enhance the assembly process. In this study, characteristics of self-assembly of dna are classified by the fractal dimension, which is associated with various time and spatial scales. © Springer international Publishing Switzerland 2014.

关键词： Self assembly

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Solving computational learning problems of boolean formulae on dna computers 1

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6th international Workshop on dna-Based Computers, dna 2000

作者： Sakakibara, Yasubumi Department of Information Sciences Tokyo Denki University Hiki-gunSaitama350-0394 Japan

ISBN: (数字)9783540449928

ISBN: (纸本)3540420762

We apply a dna-based massively parallel exhaustive search to solving the computational learning problems of DNF (disjunctive normal form) Boolean formulae. Learning DNF formulae from examples is one of the most important open problems in computational learning theory and the problem of learning 3-term DNF formulae is known as intractable if RP 6 ≠ NP. We propose new methods to encode any k-term DNF formula to a dna strand, evaluate the encoded DNF formula for a truth-value assignment by using hybridization and PCR, and find a consistent DNF formula with the given examples. By employing these methods, we show that the class of k-term DNF formulae (for any constant k) and the class of general DNF formulae are eficiently learnable on dna computer. © Springer-Verlag Berlin Heidelberg 2001.

关键词： dna

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Classification of Splice-Junction dna Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques 16th

Classification of Splice-Junction DNA Sequences Using Multi-...

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16th international conference on Artificial Intelligence and Soft computing (ICAISC)

作者： Gorzalczany, Marian B. Rudzinski, Filip Kielce Univ Technol Dept Elect & Comp Engn Al 1000 Lecia PP 7 PL-25314 Kielce Poland

ISBN: (纸本)9783319590639;9783319590622

the main goal of this paper is the application of our fuzzy rule-based classification technique with genetically optimized accuracy-interpretability trade-off to the classification of the splice-junction dna sequences coming from the molecular Biology (Splice-junction Gene Sequences) benchmark data set (available from the UCI repository). Two multi-objective evolutionary optimization algorithms are employed and compared in the framework of our technique, i.e., the well-known Strength Pareto Evolutionary Algorithm 2 (SPEA2) and our SPEA2's generalization (referred to as SPEA3) characterized by a higher spread and a better-balanced distribution of solutions. A comparative analysis with 15 alternative approaches is also performed.

关键词： Splice-junction dna sequence classification Fuzzy rule-based classifier Multi-objective evolutionary optimization Accuracy-interpretability trade-off optimization

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