Conferences related to Amino acids

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2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Magnetic Conference (INTERMAG)

INTERMAG is the premier conference on all aspects of applied magnetism and provides a range of oral and poster presentations, invited talks and symposia, a tutorial session, and exhibits reviewing the latest developments in magnetism.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions


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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 ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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.


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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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Automatic construction of 3D structural motifs for protein function prediction

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2003

Structural genomics initiatives are on the verge of generating a vast number of protein structures. The biological roles for many of these proteins are still unknown, and high-throughput methods for determining their function are necessary. Understanding the function of these proteins will have profound impact in drug development and protein engineering. Current methods for protein function prediction on structures require ...


High sensitivity radiation detector for capillary electrophoresis

IEEE Transactions on Nuclear Science, 1993

Capillary electrophoresis (CE) is an instrumental technique capable of high resolution separation and analysis of small quantities of nucleotides, amino acids, peptides, and proteins with very high efficiency and throughput. The unprecedented sensitivity of this technique will be useful for such new applications as in vivo labeling and identification of trace substances and single cell work. The principal limitation of ...


Using Emerging Subsequence in Classifying Protein Structural Class

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Knowledge about protein's structure can help in understanding its function and has many applications in computer-aided drug design and protein engineering. In this paper we introduce a new methodology for predicting protein structural class using Emerging Subsequences (ES). In a sequence database, an emerging subsequence of data class is a subsequence which occurs more frequently in that class rather than ...


A Kohonen self-organizing map for the functional classification of proteins based on one-dimensional sequence information

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), 2002

There are many examples where neural networks have been effectively used to predict protein secondary and tertiary structure from the primary sequence data. We describe the use of a Kohonen self-organizing map (SOM) to categorise proteins based on secondary structure, and attempt to relate this information to functional data.


Reply to ``Comments on `Semiautomatic Quantification of Sharpness of EEG Phenomena'''

IEEE Transactions on Biomedical Engineering, 1973

None


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IEEE-USA E-Books

  • Automatic construction of 3D structural motifs for protein function prediction

    Structural genomics initiatives are on the verge of generating a vast number of protein structures. The biological roles for many of these proteins are still unknown, and high-throughput methods for determining their function are necessary. Understanding the function of these proteins will have profound impact in drug development and protein engineering. Current methods for protein function prediction on structures require manual creation of structural motifs. Thus only few structural motifs are available. The lack of structural motifs limits the use of these methods for function prediction at a structural-genomics scale. To overcome this limitation, we describe a method for automatically creating a library of three dimensional structural motifs. Automatically generating a library of structural motifs can be used for structural-genomic scale function prediction on protein structures.

  • High sensitivity radiation detector for capillary electrophoresis

    Capillary electrophoresis (CE) is an instrumental technique capable of high resolution separation and analysis of small quantities of nucleotides, amino acids, peptides, and proteins with very high efficiency and throughput. The unprecedented sensitivity of this technique will be useful for such new applications as in vivo labeling and identification of trace substances and single cell work. The principal limitation of this technique for radiolabeled molecules has been identified as the sensitivity of the detector, primarily due to the small sample volume (<1 nl) and the short residence time of the sample in the detector (<3 sec). The authors report the development of a high- sensitivity CdTe solid-state detector used for detection of /sup 32/P-labeled biomolecules with unprecedented sensitivity. This detector can be easily retrofitted into existing CE apparatus.<>

  • Using Emerging Subsequence in Classifying Protein Structural Class

    Knowledge about protein's structure can help in understanding its function and has many applications in computer-aided drug design and protein engineering. In this paper we introduce a new methodology for predicting protein structural class using Emerging Subsequences (ES). In a sequence database, an emerging subsequence of data class is a subsequence which occurs more frequently in that class rather than other classes. They can capture significant contrast between data classes. Our idea is to discover all the ES from protein sequence database and use as representatives for this data. Our experimental results using CATH database shows good result when evaluating the accuracy of the proposed method.

  • A Kohonen self-organizing map for the functional classification of proteins based on one-dimensional sequence information

    There are many examples where neural networks have been effectively used to predict protein secondary and tertiary structure from the primary sequence data. We describe the use of a Kohonen self-organizing map (SOM) to categorise proteins based on secondary structure, and attempt to relate this information to functional data.

  • Reply to ``Comments on `Semiautomatic Quantification of Sharpness of EEG Phenomena'''

    None

  • Support Vector Machines for Protein Family Identification Using Surface Invariant Coordinates

    Identification of protein family or classification of proteins is one of the trying and important problems in bioinformatics and modern day biology. It's important to determine the family of a protein because of sheer importance of proteins in our life. In the past many methods based on the structure and sequence composition of proteins have been developed to classify proteins and to determine the family of proteins. But no work has been done in this regard by taking into account the roughness of the protein surfaces. Here we demonstrate a method using support vector machines and exploiting the surface roughness of the protein to identify the family of a protein. This method can also be used to classify proteins into different families.

  • Notice of Retraction: Small-World Network Properties of Protein Complexes: Node Centrality and Community Structure

    Recently the biological networks have been examined by borrowing the techniques and concepts mainly developed for social networks. In particular protein complexes are found to show small-world behavior. In this study, we show that the set of accessible surface area for amino acids are inversely correlated with the values of vertex betweenness. Under this global trend, specificity for the hot spots in protein interface are further studied. We also show that amino acid residue communities, which are constructed by the iterative elimination of high edge betweenness values in the descending order, are formed around the hot spot residues located in the protein interface area. Experiments with real proteins with known structure verify the small-world behavior of the protein complexes.

  • Pareto Optimal Pairwise Sequence Alignment

    Sequence alignment using evolutionary profiles is a commonly employed tool when investigating a protein. Many profile-profile scoring functions have been developed for use in such alignments, but there has not yet been a comprehensive study of Pareto optimal pairwise alignments for combining multiple such functions. We show that the problem of generating Pareto optimal pairwise alignments has an optimal substructure property, and develop an efficient algorithm for generating Pareto optimal frontiers of pairwise alignments. All possible sets of two, three, and four profile scoring functions are used from a pool of 11 functions and applied to 588 pairs of proteins in the ce_ref data set. The performance of the best objective combinations on ce_ref is also evaluated on an independent set of 913 protein pairs extracted from the BAliBASE RV11 data set. Our dynamic-programming-based heuristic approach produces approximated Pareto optimal frontiers of pairwise alignments that contain comparable alignments to those on the exact frontier, but on average in less than 1/58th the time in the case of four objectives. Our results show that the Pareto frontiers contain alignments whose quality is better than the alignments obtained by single objectives. However, the task of identifying a single high-quality alignment among those in the Pareto frontier remains challenging.

  • Adhesive block copolymers for tissue repair and drug delivery

    Triblock copolymers are of considerable interest in drug delivery because of their self-assembly properties and their ability to form hydrogels by warming from ambient to body temperature. In this paper, we describe a route for the conjugation of (3,4-dihydroxyphenyl)-L-alanine (DOPA) to the endgroups of PEO- PPO-PEO block copolymers. DOPA is an unusual amino acid found in mussel adhesive proteins (MAPS) that is believed to lend adhesive characteristics to these proteins. DOPA-containing proteins have been found to be mucoadhesive, so we surmised that incorporation of DOPA into block copolymers could improve the mucoadhesivity of these hydrogels. DOPA-modified Pluronics were freely soluble in cold water, and the copolymers aggregated into micelles at characteristic temperatures that depended on block copolymer composition and concentration in solution. Above a block copolymer concentration of approximately 20 wt%, solutions of DOPA-modified PEO-PPO-PEO block copolymers exhibited sol-gel transitions upon heating, and the characteristic temperature could be tailored between /spl sim/23/spl deg/C and 46/spl deg/C by changing the composition, concentration and molecular weight of the block copolymer. Rheological measurement of the bioadhesive interaction between DOPA-modified Pluronic and bovine submaxillary mucin indicated that DOPA-modified Pluronic was significantly more bioadhesive than unmodified Pluronic.

  • Investigation of a Phenylalanine-Biosensor System for Phenylketonuria Detection

    Detection and prevention of Phenylketonuria (PKU) is becoming more and more important. However, the current methods are either imprecise or time- consuming. We propose a biosensor system based on phenylalanine ammonia-lyase (PAL) immobilized on an ammonia electrode to measure blood phenylalanine for PKU prevention. The biosensor exhibits good linearity from 10-5000 muM and the response time is only about 2 minutes. It remains stable for at least 5 days and less than 20% drop of the original activity after ten day storage at 4 D, while the service life of the biosensor could be up to 30 days. We also develop an intelligent system to ensure optimal conditions for operation and preservation of the biosensor and to make detection more convenient and reliable. All of these advantages indicate that the newly developed method could be a better one for solving the problems of PKU detection



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