Conferences related to Proteins

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2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and 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 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)

The world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power


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 Proteins

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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; ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Xplore Articles related to Proteins

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Methods and algorithms for the design of proteins

[{u'author_order': 1, u'affiliation': u'Dept. of Biochem., Cambridge Univ., UK', u'full_name': u'S.E. Brenner'}, {u'author_order': 2, u'affiliation': u'Dept. of Biochem., Cambridge Univ., UK', u'full_name': u'A. Berry'}] IEE Colloquium on Molecular Bioinformatics, 1994

Protein design is a burgeoning new field of structural molecular biology, which entails selecting sequences of amino acids to fold into a desired pre- determined structure. The authors present a quantitative methodology for the de novo design of proteins as well as supporting algorithms, including a massively parallel simulated annealing optimization method. With these algorithms it is possible to choose ...


Terahertz dielectric response of proteins: Relaxational and correlated motion contributions

[{u'author_order': 1, u'affiliation': u'Department of Physics, State University of New York at Buffalo, NY 14260, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37266734300', u'full_name': u'Andrea G. Markelz', u'id': 37266734300}] 2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves, 2009

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Solid state protein devices

[{u'author_order': 1, u'affiliation': u'Univ. of Lecce, Italy', u'authorUrl': u'https://ieeexplore.ieee.org/author/37275661700', u'full_name': u'Roberto Cingolani', u'id': 37275661700}] 2006 IEEE Nanotechnology Materials and Devices Conference, 2006

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Biology

[{u'author_order': 1, u'affiliation': u'Naval Post Graduate School, Monterey, California', u'full_name': u'Ted G. Lewis'}] Network Science: Theory and Applications, None

This chapter contains sections titled:Static ModelsDynamic AnalysisProtein Expression NetworksMass Kinetics ModelingExercises


IEE Colloquium on 'Molecular Bioinformatics' (Digest No.1994/029)

[] IEE Colloquium on Molecular Bioinformatics, 1994

None


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Educational Resources on Proteins

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eLearning

No eLearning Articles are currently tagged "Proteins"

IEEE-USA E-Books

  • Biology

    This chapter contains sections titled:Static ModelsDynamic AnalysisProtein Expression NetworksMass Kinetics ModelingExercises

  • Algorithms Comparing Protein Interaction Networks

    This chapter contains sections titled: * Introduction * Local Alignment Algorithms * Global Alignment Algorithms * Summary

  • Models for Protein Interaction Networks

    This chapter contains sections titled: * Introduction * Random Graph Model * Scale-Free Model * Geometric Random Graph Model * Stickiness Index (STICKY) Model * Degree-Weighted Model * Network Scoring Models * Summary

  • Case Study of Biological Models

    This chapter discusses dynamical and topological properties of a few specific biological models. In the gene regulatory network model for segment polarity, the interactions incorporated include translation (protein production from mRNA), transcriptional regulation, and protein-protein interactions. Dozens of cellular components have been identified to function in abscisic acid (ABA) regulation of guard cell volume and thus of stomatal aperture. The function of epidermal growth factor (EGF) is to bind to a receptor, the epidermal growth factor receptor (EGFR), on the membrane of the cells. Data sources for the_C. elegans_metabolic network include two types of nodes, namely the metabolites and reaction nodes, and the arcs are directed either from those metabolites that are the reactants of a reaction to the reaction node or from the reaction node to the products of the reaction. The chapter also discusses network for T-cell survival and death in large granular lymphocyte leukemia.

  • Future Trends

    No abstract.

  • Protein-Related Drug Activity Comparison Using Support Vector Machines

    The effective intelligent computational model can reduce the cost of drug design significantly by producing the sublibrary of molecular combination derived from a much larger library. This survey compares the performance of several popular machine learning technique for drug activity. The machine learning techniques introduced in this chapter are used to predict activity of pyrimidines and triazines based on the structure-activity relationship of these compounds. Pyrimidines and triazines are two important inhibitors of_Escherichia coli_dihydrofolate reductase (DHFR). Analysis and prediction of activities of these two inhibitors is very important for finding potential treatment agents for malaria, bacterial infection, and other serious disease. This chapter focuses especially on granular kernel trees (GKTs). GKTs are designed to include previous domain knowledge and voting schemes in order to optimize the performance of the Support vector machines (SVMs) kernels and reduce the training time substantially.

  • Ontology-Based Analysis of Protein Interaction Networks

    This chapter contains sections titled: * Definition of Ontology * Languages for Modeling Ontologies * Biomedical Ontologies * Ontology-Based Analysis of Protein Interaction Data * Semantic Similarity Measures of Proteins * The Gene Ontology Annotation Database (GOA) * FussiMeg and ProteinOn * Summary

  • Graph Theory

    This chapter contains sections titled:IntroductionBasic NotationSpecial GraphsGraph RepresentationGraph AlgorithmsSummaryExercisesReferences

  • Technologies for Discovering Protein Interactions

    This chapter contains sections titled: * Introduction * Techniques Investigating Physical Interactions * Technologies Investigating Kinetic Dynamics * Summary

  • Protein Local Structure Prediction

    Studying the protein sequence-structure relationship is one of the most active bioinformatics research areas. A better understanding of the protein sequence- structure correlation can improve effectiveness and efficiency of local protein structure prediction. For the structural-cluster approach, protein structural segments are grouped into different structural clusters using multiple structural alignments and unsupervised clustering algorithms. The support vector machine (SVM) has shown superior classification performance in various bioinformatics applications because of its strong generalization capability. In order to overcome disadvantages of building one SVM over the whole sample space, the clustering support vector machine (CSVM) was proposed to predict distance matrices, torsion angles, and secondary structures for backbone?>-carbon atoms of protein sequence segments. The special features of CSVMs enable the training tasks for each CSVM to be parallelized. Parallel training processes can increase the speed for the data mining task for very large datasets.



Standards related to Proteins

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Jobs related to Proteins

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