Conferences related to Amino acids

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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.


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.


2012 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technologies and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life sciences. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2011 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technologies and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life sciences. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2010 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2009 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions) thematically arrang

  • 2008 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions) thematically arrang

  • 2007 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited and Contributed papers (oral and poster sessions) thematically arrange

  • 2006 IEEE International Symposium on Micro-NanoMechatronics and Human Science (MHS)


2012 Symposium on Photonics and Optoelectronics (SOPO 2012)

Laser Technology and Applications, Optical Sensors, Optical Storage and Technologies, Optoelectronic Devices and Integration, Medical and Biological Applications.

  • 2011 Symposium on Photonics and Optoelectronics (SOPO 2011)

    Laser Technology and Applications, Optical Sensors, Optical Storage and Technologies, Optoelectronic Devices and Integration, Medical and Biological Applications

  • 2010 Symposium on Photonics and Optoelectronics (SOPO 2010)

    Laser Technology and Applications, Optical Sensors, Optical Storage and Technologies, Optoelectronic Devices and Integration, Medical and Biological Applications


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Periodicals related to Amino acids

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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; ...


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.


Nanobioscience, IEEE Transactions on

Basic and applied papers dealing both with engineering, physics, chemistry, and computer science and with biology and medicine with respect to bio-molecules and cells. The content of acceptable papers ranges from practical/clinical/environmental applications to formalized mathematical theory. TAB #73-June 2001. (Original name-IEEE Transactions on Molecular Cellular and Tissue Engineering). T-NB publishes basic and applied research papers dealing with the study ...



Most published Xplore authors for Amino acids

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Xplore Articles related to Amino acids

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cDNA, Genomic Sequence Cloning and Sequences Analysis of the fau Gene from the Giant Panda (Ailuropoda melanoleuca)

Guang-fu Wu; Yi-ling Hou; Wan-ru Hou; Yan Song; Tian Zhang 2010 4th International Conference on Bioinformatics and Biomedical Engineering, 2010

Fau gene is the cellular homolog of the fox sequence in the Finkel-Biskis- Reilly murine sarcoma virus (FBR-MuSV). It encodes a fusion protein consisting of the ubiquitin-like protein FUBI at the N-terminus and ribosomal protein S30 at the C-terminus. Here we have cloned the cDNA and the genomic sequence of fau gene from the giant panda (Ailuropoda melanoleuca) using RT-PCR ...


Choquet integral algorithm for thermostable proteins based on Hurst exponent and generalized L-measure

Horng-Jinh Chang; Pei-Chun Chang; Hsiang-Chuan Liu; Kuei-Jen Lee; Jing-Doo Wang; Yu-Lung Liu 2010 International Conference on Machine Learning and Cybernetics, 2010

Due to the lengths of amino symbolic sequences of protein are always different, any regression model can not be used for predicting the temperature of thermostable proteins without adequate pretreatment. We need to transfer each amino symbolic sequence as some useful physicochemical quantities by using Hurst exponent first, and then, some regression models may be considered. Combining the Hurst exponent ...


Dynamic Activation of Src Induced by Low-power Laser Irradiation in Living Cells Mediated by Reactive Oxygen Species

Jun-tao Zhang; Da Xing 2007 IEEE/ICME International Conference on Complex Medical Engineering, 2007

Src tyrosine kinases are central components of adhesive and growth factor responses and play key roles in the control of cell proliferation, survival and adhesion. In present study, to monitor Src activity in living cells in real time, we transfected Hela cells with Src reporter constructed on the basis of fluorescence resonance energy transfer (FRET) technique. We reported that 15 ...


A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction

Hsin-Wei Wang; Ya-Chi Lin; Tun-Wen Pai; Pei-Wen Tsai; Hao-Teng Chang 2011 International Conference on Complex, Intelligent, and Software Intensive Systems, 2011

An epitope activates B cells to amplify and induce antibodies which can neutralize the foreign molecules, particles and pathogens. It also plays a crucial role in developing synthetic peptides for vaccination. Identification of epitopes using biological screening approaches is time consuming and high cost. Therefore, bioinformatics approaches are developed to enhance the speed of identifying the epitopes and conserve time. ...


Ant colony approach to predict amino acid interaction networks

Omar Gaci; Stefan Balev 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009

In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We consider the problem of reconstructing protein's interaction network from its amino acid sequence. An ant colony approach is used to solve this problem.


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Educational Resources on Amino acids

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eLearning

cDNA, Genomic Sequence Cloning and Sequences Analysis of the fau Gene from the Giant Panda (Ailuropoda melanoleuca)

Guang-fu Wu; Yi-ling Hou; Wan-ru Hou; Yan Song; Tian Zhang 2010 4th International Conference on Bioinformatics and Biomedical Engineering, 2010

Fau gene is the cellular homolog of the fox sequence in the Finkel-Biskis- Reilly murine sarcoma virus (FBR-MuSV). It encodes a fusion protein consisting of the ubiquitin-like protein FUBI at the N-terminus and ribosomal protein S30 at the C-terminus. Here we have cloned the cDNA and the genomic sequence of fau gene from the giant panda (Ailuropoda melanoleuca) using RT-PCR ...


Choquet integral algorithm for thermostable proteins based on Hurst exponent and generalized L-measure

Horng-Jinh Chang; Pei-Chun Chang; Hsiang-Chuan Liu; Kuei-Jen Lee; Jing-Doo Wang; Yu-Lung Liu 2010 International Conference on Machine Learning and Cybernetics, 2010

Due to the lengths of amino symbolic sequences of protein are always different, any regression model can not be used for predicting the temperature of thermostable proteins without adequate pretreatment. We need to transfer each amino symbolic sequence as some useful physicochemical quantities by using Hurst exponent first, and then, some regression models may be considered. Combining the Hurst exponent ...


Dynamic Activation of Src Induced by Low-power Laser Irradiation in Living Cells Mediated by Reactive Oxygen Species

Jun-tao Zhang; Da Xing 2007 IEEE/ICME International Conference on Complex Medical Engineering, 2007

Src tyrosine kinases are central components of adhesive and growth factor responses and play key roles in the control of cell proliferation, survival and adhesion. In present study, to monitor Src activity in living cells in real time, we transfected Hela cells with Src reporter constructed on the basis of fluorescence resonance energy transfer (FRET) technique. We reported that 15 ...


A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction

Hsin-Wei Wang; Ya-Chi Lin; Tun-Wen Pai; Pei-Wen Tsai; Hao-Teng Chang 2011 International Conference on Complex, Intelligent, and Software Intensive Systems, 2011

An epitope activates B cells to amplify and induce antibodies which can neutralize the foreign molecules, particles and pathogens. It also plays a crucial role in developing synthetic peptides for vaccination. Identification of epitopes using biological screening approaches is time consuming and high cost. Therefore, bioinformatics approaches are developed to enhance the speed of identifying the epitopes and conserve time. ...


Ant colony approach to predict amino acid interaction networks

Omar Gaci; Stefan Balev 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009

In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We consider the problem of reconstructing protein's interaction network from its amino acid sequence. An ant colony approach is used to solve this problem.


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IEEE.tv Videos

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IEEE-USA E-Books

  • 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.

  • 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.

  • 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.

  • 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



Standards related to Amino acids

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