Conferences related to Amino acids

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2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

This conference provides an idea-exchange and discussion platform for researchers and practitioners interested in Intelligent Human-Machine and Cybernetics and other topics.


2012 5th International Conference on Biomedical Engineering and Informatics (BMEI)

BMEI is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and informatics. Specific topics include Biomedical imaging and visualization; Biomedical signal processing and analysis; etc.

  • 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)

    CISP 11-BMEI 11 is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and informatics. Specific topics include Biomedical imaging and visualization; Biomedical signal processing and analysis; Biomedical instrumentation, devices, sensors, artificial organs, and nano technologies; Rehabilitation engineering; bioinformatics and medical informatics, etc.

  • 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI)

    BMEI 10 is a premier international forum for scientists and researchers to present the state of the art of biomedical engineering and biomedical informatics. It is co-located with the 3rd International Congress on Image and Signal Processing (CISP 2010) to promote interactions biomedical research and signal processing.

  • 2009 2nd International Conference on Biomedical Engineering and Informatics (BMEI)

    biomedical engineering, biomedical informatics, multimedia, and signal processing


2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering


2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on.

  • 2011 IEEE 11th International Conference on Bioinformatics & Bioengineering (BIBE)

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2010 International Conference on BioInformatics and BioEngineering (BIBE)

  • 2009 9th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these two areas are impacting the science and technology in fields such as medicine, food production, forensics, etc.

  • 2008 8th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2007 7th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    Bioinformatics and Bioengineering are complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on. Research and development in these two areas are impacting the science and technology of fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology and in medicine ,by helping us understand living organisms.

  • 2005 IEEE Symposium on Bioinformatics and Biomedical Engineering - BIBE


2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

We solicit high-quality original research papers (including significant work-in-progress) on any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged.

  • 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

    High-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics and biomedicine. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and heir application in life science domain are especially encouraged.


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Periodicals related to Amino acids

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Dielectrics and Electrical Insulation, IEEE Transactions on

Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


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Most published Xplore authors for Amino acids

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Xplore Articles related to Amino acids

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Analysis of genome signature strength of SARS coronavirus using Self-Organizing Map neural network

Francis Thamburaj; Gopinath Ganapathy 2010 International Conference on Communication and Computational Intelligence (INCOCCI), 2010

The nucleotide usage patterns vary not only from organism to organism, but also between genes in the same genome. Each genome has its own characteristics. This unique identity, called genome signature, of a genome is multidimensional. One of the ways to probe into this area is to analyze the nucleotide sequence composition of the genome. In this paper, the nucleotide ...


Silver nanoparticles in nonlinear microscopy

D. J. Rativa; A. S. L. Gomes; S. Wachsmann-Hogiu; D. L. Farkas; R. E. de Araujo 2007 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, 2007

Nanotechnology has led to the manufacture of nanometer-sized objects which can be explored in multiphoton microscopy. In particular, metal nanoparticles (NPs) do not generate the multiphoton signal by itself, but rather it can enhance the nonlinear (NL) emission of fluorochromes, owing to the influence of local field effects. Energy transfer process is also observed in systems consisting of metal nanoparticles ...


Evaluation of Novel Protein Structure Comparison Algorithms Based on Objective Function Rankings

Hitomi Hasegawa; Liisa Holm 2009 2nd International Conference on Biomedical Engineering and Informatics, 2009

Protein structure comparison is a important and developing area in Bioinformatics. Understanding the protein structure is very useful, since protein structure suffers less evolutionary changes compared to the amino acid sequences. Thus, comparing protein structures provides additional evolution information. However, structure comparison is not straightforward and multiple algorithms for comparison have emerged recently. In this paper we evaluate the performance ...


Highly secure DNA-based audio steganography

C M Shyamasree; Sheena Anees 2013 International Conference on Recent Trends in Information Technology (ICRTIT), 2013

Security is the important criteria relevant to information in transit as well as in storage. This paper proposes a highly secure method to hide the secret messages to prevent unauthorized access. The proposed method works in three levels. Single level of encryption and two levels of steganography are used. First level makes use of a DNA based playfair encryption. Second ...


Simuler la Dynamique des Protéines: Simulation Protein Dynamics

Normand Mousseau 2008 22nd International Symposium on High Performance Computing Systems and Applications, 2008

The study of protein dynamics has expanded considerably in the last ten years, in large part because of the wider availability of parallel supercomputers. But the growth in computing power is not sufficient: new numerical approaches must also be developed that allow for a more efficient sampling of configuration space. In this presentation, I will present some recent progress on ...


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Educational Resources on Amino acids

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eLearning

Analysis of genome signature strength of SARS coronavirus using Self-Organizing Map neural network

Francis Thamburaj; Gopinath Ganapathy 2010 International Conference on Communication and Computational Intelligence (INCOCCI), 2010

The nucleotide usage patterns vary not only from organism to organism, but also between genes in the same genome. Each genome has its own characteristics. This unique identity, called genome signature, of a genome is multidimensional. One of the ways to probe into this area is to analyze the nucleotide sequence composition of the genome. In this paper, the nucleotide ...


Silver nanoparticles in nonlinear microscopy

D. J. Rativa; A. S. L. Gomes; S. Wachsmann-Hogiu; D. L. Farkas; R. E. de Araujo 2007 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, 2007

Nanotechnology has led to the manufacture of nanometer-sized objects which can be explored in multiphoton microscopy. In particular, metal nanoparticles (NPs) do not generate the multiphoton signal by itself, but rather it can enhance the nonlinear (NL) emission of fluorochromes, owing to the influence of local field effects. Energy transfer process is also observed in systems consisting of metal nanoparticles ...


Evaluation of Novel Protein Structure Comparison Algorithms Based on Objective Function Rankings

Hitomi Hasegawa; Liisa Holm 2009 2nd International Conference on Biomedical Engineering and Informatics, 2009

Protein structure comparison is a important and developing area in Bioinformatics. Understanding the protein structure is very useful, since protein structure suffers less evolutionary changes compared to the amino acid sequences. Thus, comparing protein structures provides additional evolution information. However, structure comparison is not straightforward and multiple algorithms for comparison have emerged recently. In this paper we evaluate the performance ...


Highly secure DNA-based audio steganography

C M Shyamasree; Sheena Anees 2013 International Conference on Recent Trends in Information Technology (ICRTIT), 2013

Security is the important criteria relevant to information in transit as well as in storage. This paper proposes a highly secure method to hide the secret messages to prevent unauthorized access. The proposed method works in three levels. Single level of encryption and two levels of steganography are used. First level makes use of a DNA based playfair encryption. Second ...


Simuler la Dynamique des Protéines: Simulation Protein Dynamics

Normand Mousseau 2008 22nd International Symposium on High Performance Computing Systems and Applications, 2008

The study of protein dynamics has expanded considerably in the last ten years, in large part because of the wider availability of parallel supercomputers. But the growth in computing power is not sufficient: new numerical approaches must also be developed that allow for a more efficient sampling of configuration space. In this presentation, I will present some recent progress on ...


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IEEE-USA E-Books

  • Fractal Related Methods for Predicting Protein Structure Classes and Functions

    The prediction of protein structure and function from amino acid sequences is one of the most important and challenge problems in molecular biology. The fractal methods and related wavelet analysis, recurrence quantification analysis (RQA) and empirical mode decomposition (EMD) methods were used to study the prediction of protein structure classes and functions. This chapter reviews the methods and results in these studies. Some of these methods include: chaos game representation of proteins and related time series; wavelet spectrum; and empirical mode decomposition and similarity of proteins. From the overall analyses, the authors found that the measure representation based on the detailed HP model and six-letter model, time series representation based on physicochemical features of amino acids, Z-curve representation, the chaos game representation of proteins can provide much information for predicting structure classes and functions of proteins. Fractal methods are useful to analyze protein sequences.

  • Evolution of genetic code through isologous diversification of cellular states

    Evolution of genetic code is studied as the change in the choice of enzymes that are used to synthesize amino acids from the genetic information of nucleic acids. We propose the following scenario: the differentiation of physiological states of a cell allows for the different choice of enzymes, and this choice is later fixed genetically through evolution. To demonstrate this scenario, a dynamical systems model consisting of the concentrations of metabolites, enzymes, amino acvl tRNA synthetase, and tRNA-amino acid complex in a cell is introduced and numerically studied. It is shown that the biochemical states of cells are differentiated by cell-cell interaction, and each differentiated type takes to use different synthetase. Through the mutation of genes, this difference in the genetic code is amplified and stabilized. Relevance of this scenario to the evolution of non-universal genetic code in mitochondria is suggested

  • Introduction to Scientific Data Mining: Direct Kernel Methods and Applications

    This chapter contains sections titled: Introduction What Is Data Mining? Basic Definitions for Data Mining Introduction to Direct Kernel Methods Direct Kernel Ridge Regression Case Study #1: Predicting the Binding Energy for Amino Acids Case Study #2: Predicting the Region of Origin for Italian Olive Oils Case Study #3: Predicting Ischemia from Magnetocardiography Fusion of Soft Computing and Hard Computing Conclusions

  • Homochirality as Fixed Point of Prebiotic Chemistry

    The purpose of this work is to highlight the ability of a pre-biotic system of activation/polymerization/depolymerization ( APD) of amino acids to have non- racemic fixed points, similarly to Frank's model, and thus to evolve spontaneously toward homochirality. Chemical kinetic simulations of reaction sets, from simple isolated polymerization systems to complete APD systems in presence of inversion reactions, are developed in order to understand the mechanisms of amplification of asymmetry. The results emphasize the emergence of autocatalysis thanks to the synergetic action between epimer-ization and APD reactions, allowing spontaneous symmetry breaking from racemic state. The APD system appears to be an original nonequilibrium chemical system model, as an extension of the Frank's model based on prebiotically relevant chemical reactions.

  • Rough Fuzzy -Medoids and Amino Acid Sequence Analysis

    The problem with using most pattern recognition algorithms to analyze biological subsequences is that they cannot recognize nonnumerical features such as the biochemical codes of amino acids. Investigating a proper encoding process before modeling the amino acids is then critical. This chapter uses the rough-fuzzy c-medoids to select a minimum set of most informative bio- basis strings. It introduces necessary notions of bio-basis function and the bio-basis string selection methods, and gives a description of hard c-medoids, fuzzy c-medoids, possibilistic c-medoids, and fuzzy-possibilistic c-medoids. The chapter describes the rough-fuzzy c-medoids algorithm, along with the rough c-medoids algorithm, for relational data clustering. It also gives an overview of the application of different c-medoids algorithms for bio-basis string selection, along with the initialization method for the c-medoids algorithm. The chapter presents some quantitative measures to select most informative bio-basis strings, and reports on a few case studies and a comparison among different methods. fuzzy set theory; pattern clustering; rough set theory

  • Sampling Techniques: Estimating Evolutionary Rates and Generating Molecular Structures

    This chapter first discusses the general problem of characterizing ensemble properties of biological systems through integration by sampling, along with the difficulties of sampling in high-dimensional space. It briefly examines the approach of rejection sampling, and discusses two general frameworks in Monte Carlo sampling, namely, the Markov chain Monte Carlo (MCMC) or Metropolis Monte Carlo method and the sequential Monte Carlo method. The chapter also discusses basic concepts such as sampling from a desired target distribution, properties of Markov chains, time reversibility, detailed balance, and the stationary state. This is followed by the example of estimating evolutionary substitution rates of amino acids. The chapter then describes the general principle of importance sampling, the approach of sequentially building up the target distribution, and the technique of resampling for variance reduction. Finally, it presents the applications in generating self-avoiding walks for studying chain polymers and calculating RNA loop entropy.



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