Conferences related to Proteins

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OCEANS 2016

The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2015 - MTS/IEEE Washington

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2009

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.


2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas)

Neural Networks

  • 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane)

    The annual IJCNN is the premier international conference in the field of neural networks.

  • 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose)

    IJCNN 2011 will include paper presentations, tutorials, workships, panels, special sessions and competitions on topics related to neural networks, including: Neural network theory and models; neural network applications; computational neuroscience; neurocognitive models; neuroengineering; neuroinformatics; neuroevolution; collective intelligence; embodied robotics; artificial life, etc.

  • 2010 International Joint Conference on Neural Networks (IJCNN 2010 - Barcelona)

  • 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta)

    IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. It is organized by the International Neural Networks Society (INNS) and sponsored jointly by INNS and the IEEE Computational Intelligence Society. This is an exemplary collaboration between the two leading societies on neural networks and it provides a solid foundation for the future extensive development of the field.

  • 2008 International Joint Conference on Neural Networks (IJCNN 2008 - Hong Kong)

    The IJCNN is the premier event in the field of neural networks. It covers all topics in neural network research (broadly defined).


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.

  • 2006 IEEE Symposium on Bioinformatics and Bioengineering - BIBE

  • 2005 IEEE Symposium on Bioinformatics and Biomedical Engineering - BIBE


2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB)

The HISB conference is to foster an integrative approach to healthcare by the cross-fertilization of ideas among researchers in the respective areas of healthcare informatics, imaging and systems biology. The confluence of these fields is expected to not only advance the state of understanding of diseases and outcomes but also explore their relationships on a personalized biological basis.

  • 2011 IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB)

    The first HISB conference is being proposed to foster an integrative approach to healthcare by the cross-fertilization of ideas among researchers in the respective areas of healthcare informatics, imaging and systems biology. The confluence of these fields is expected to not only advance the state of understanding of diseases and outcomes but also explore their relationships on a personalized biological basis.


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Periodicals related to Proteins

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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; ...


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 Proteins

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Xplore Articles related to Proteins

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Detection of protein repeats using the Ramanujan Filter Bank

Srikanth V. Tenneti; P. P. Vaidyanathan 2016 50th Asilomar Conference on Signals, Systems and Computers, 2016

Protein repeats are tandemly repeating segments within an amino acid sequence. They induce several important structural and binding properties on the protein. So far, the most successful detection schemes for such repeats have used computationally expensive techniques such as dynamic programming algorithms, HMMs, and so on. Classical DSP tools such as STFT, unfortunately, perform poorly in the presence of mutations. ...


Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes

Masood Zamani; Stefan C. Kremer 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2016

In this paper, we propose an ab initio two-stage protein secondary structure (PSS) prediction model through a novel framework of PSS transition site prediction by using Artificial Neural Networks (ANNs) and Genetic Programming (GP). In the proposed classifier, protein sequences are encoded by new amino acid encoding schemes derived from genetic Codon mappings, Clustering and Information theory. In the first ...


Uncover protein complexes in E.coli network

Wei Liu; Aiping Wu 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015

Recent advances in proteomic technologies have enabled high-throughput binary data on protein-protein interactions of E. coli to be released into public domain, and many protein complexes have been identified by experimental methods. Although it has a long study history, a large-scale analysis of protein complex in binary PPI network of E. coli is still absent. We used a novel link ...


Red-emitting substrates for rapid botulinum neurotoxin detection

James N. Herron; Konrad H. Engelhardt; Vlad O'Mel CLEO: 2013, 2013

We report a new red-emitting molecular beacon for botulinum neurotoxin A suitable inexpensive rapid assay formats. Reaction kinetics including parameters like Km and Vmax were evaluated in a fluorogenic assay using the BoNT/A light chain.


Microwave assisted trypsin digestion with cavity type resonator reactor as an innovative proteomics technology

Fujiko Aoki; Kenshi Haraguchi; Arata Shiraishi; Takeo Yoshimura; Shokichi Ohuchi 2016 Progress in Electromagnetic Research Symposium (PIERS), 2016

Sumamry form only given. The word "omics" indicates the study of a total information in biological cell, such as the genome, which is all DNA in a living cell, or the proteome which is all the proteins. Omics technologies of genomics and proteomics, such as tailor-made treatment, it has been positioned in the center of the future of medical technology. ...


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Educational Resources on Proteins

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eLearning

Detection of protein repeats using the Ramanujan Filter Bank

Srikanth V. Tenneti; P. P. Vaidyanathan 2016 50th Asilomar Conference on Signals, Systems and Computers, 2016

Protein repeats are tandemly repeating segments within an amino acid sequence. They induce several important structural and binding properties on the protein. So far, the most successful detection schemes for such repeats have used computationally expensive techniques such as dynamic programming algorithms, HMMs, and so on. Classical DSP tools such as STFT, unfortunately, perform poorly in the presence of mutations. ...


Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes

Masood Zamani; Stefan C. Kremer 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2016

In this paper, we propose an ab initio two-stage protein secondary structure (PSS) prediction model through a novel framework of PSS transition site prediction by using Artificial Neural Networks (ANNs) and Genetic Programming (GP). In the proposed classifier, protein sequences are encoded by new amino acid encoding schemes derived from genetic Codon mappings, Clustering and Information theory. In the first ...


Uncover protein complexes in E.coli network

Wei Liu; Aiping Wu 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015

Recent advances in proteomic technologies have enabled high-throughput binary data on protein-protein interactions of E. coli to be released into public domain, and many protein complexes have been identified by experimental methods. Although it has a long study history, a large-scale analysis of protein complex in binary PPI network of E. coli is still absent. We used a novel link ...


Red-emitting substrates for rapid botulinum neurotoxin detection

James N. Herron; Konrad H. Engelhardt; Vlad O'Mel CLEO: 2013, 2013

We report a new red-emitting molecular beacon for botulinum neurotoxin A suitable inexpensive rapid assay formats. Reaction kinetics including parameters like Km and Vmax were evaluated in a fluorogenic assay using the BoNT/A light chain.


Microwave assisted trypsin digestion with cavity type resonator reactor as an innovative proteomics technology

Fujiko Aoki; Kenshi Haraguchi; Arata Shiraishi; Takeo Yoshimura; Shokichi Ohuchi 2016 Progress in Electromagnetic Research Symposium (PIERS), 2016

Sumamry form only given. The word "omics" indicates the study of a total information in biological cell, such as the genome, which is all DNA in a living cell, or the proteome which is all the proteins. Omics technologies of genomics and proteomics, such as tailor-made treatment, it has been positioned in the center of the future of medical technology. ...


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IEEE-USA E-Books

  • A Model for Exploring Genetic Control of Artificial Amoebae

    We develop a computer simulation of several cellular processes seen in amoebae, including the production and regulation of proteins via a genome; the production, release, and destruction of diffusible chemicals; and regulated chemotaxis through a lattice environment facilitated by the interactions of proteins and diffusible chemicals. We also test this model by adapting biological situations to this model to evaluate its ability to model genetic networks and genetically regulated chemotaxis. The model will be used to simulate evolution in artificial amoebae to produce behavior seen in biological organisms such as Dictyostelium discoideum.

  • Machine Learning Approach for Prediction of Human Mitochondrial Proteins

    This chapter contains sections titled: Introduction Methods and Systems Results and Discussion Conclusions References

  • No title

    Bacterial reporters are live, genetically engineered cells with promising application in bioanalytics. They contain genetic circuitry to produce a cellular sensing element, which detects the target compound and relays the detection to specific synthesis of so-called reporter proteins (the presence or activity of which is easy to quantify). Bioassays with bacterial reporters are a useful complement to chemical analytics because they measure biological responses rather than total chemical concentrations. Simple bacterial reporter assays may also replace more costly chemical methods as a first line sample analysis technique. Recent promising developments integrate bacterial reporter cells with microsystems to produce bacterial biosensors. This lecture presents an in-depth treatment of the synthetic biological design principles of bacterial reporters, the engineering of which started as simple recombinant DNA puzzles, but has now become a more rational approach of choosing and combining s nsing, controlling and reporting DNA 'parts'. Several examples of existing bacterial reporter designs and their genetic circuitry will be illustrated. Besides the design principles, the lecture also focuses on the application principles of bacterial reporter assays. A variety of assay formats will be illustrated, and principles of quantification will be dealt with. In addition to this discussion, substantial reference material is supplied in various Annexes. Table of Contents: Short History of the use of Bacteria for Biosensing and Bioreporting / Genetic Engineering Concepts / Measuring with Bioreporters / Epilogue

  • Network Algorithms for Protein Interactions

    The task considered in this chapter is to cluster the set of proteins into natural groups that operate together. These groups should be functional groups and can often be identified as serving a particular purpose in the life of a cell. The chapter looks at algorithms for clustering that use optimization methods, often combined with hierarchical methods, as exemplified by the author's work and the work of others. The chapter presents the details of hierarchical algorithms and their performance. Graph theory is commonly used as a method for analyzing protein-protein interactions (PPIs) in computational biology. Each vertex represents a protein, and edges correspond to experimentally identified PPIs. The hierarchical methods discussed here have three main phases: aggregation phase, clustering phase, and disaggregation phase. While there are different coarsening, decoarsening, and clustering algorithms, this framework of optimization-directed hierarchical methods has found success.

  • No title

    The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug''---is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these heterogeneous datasets and the provision of algorithms to mine the integrated datasets would enable investigation of the complex mechanisms of drug action; however, traditional approaches face challenges in the representation and integration of multi- scale datasets, and in the discovery of underlying knowledge in the integrated datasets. The Sem ntic Web, envisioned to enable machines to understand and respond to complex human requests and to retrieve relevant, yet distributed, data, has the potential to trigger system-level chemical-biological innovations. Chem2Bio2RDF is presented as an example of utilizing Semantic Web technologies to enable intelligent analyses for drug discovery. Table of Contents: Introduction / Data Representation and Integration Using RDF / Data Representation and Integration Using OWL / Finding Complex Biological Relationships in PubMed Articles using Bio-LDA / Integrated Semantic Approach for Systems Chemical Biology Knowledge Discovery / Semantic Link Association Prediction / Conclusions / References / Authors' Biographies

  • Scoring Functions for Predicting Structure and Binding of Proteins

    This chapter first discusses the general framework of developing knowledge- based potential functions in terms of molecular descriptors, functional form, and parameter calculations. It also discusses the underlying thermodynamic hypothesis of protein folding. With the assumption that frequently observed protein features in a database of structures correspond to a low energy state, frequency of observed interactions can be converted to energy terms. The chapter then describes in detail the models behind the Miyazawa-Jernigan contact potential, distance-dependent potentials, and geometric potentials. Next, it shows how to weight sample structures of varying degree of sequence similarity in the structural database. The chapter also describes general geometric models for the problem of obtaining optimized knowledge-based potential functions, as well as methods for developing optimal linear and nonlinear potential functions. It presents several applications of the knowledge-based potential functions. Finally, the chapter provides general limitations and possible improvements for the statistical and optimized potential functions.

  • Computational Analysis of Interactions between Tumor and Tumor Suppressor Proteins

    This chapter contains sections titled: Introduction Methodology: Resonant Recognition Model Results and Discussions Conclusion References

  • Modelling transcriptional regulation using Gaussian Processes

    Modelling the dynamics of transcriptional processes in the cell requires the knowledge of a number of key biological quantities. While some of them are relatively easy to measure, such as mRNA decay rates and mRNA abundance levels, it is still very hard to measure the active concentration levels of the transcription factor proteins that drive the process and the sensitivity of target genes to these concentrations. In this paper we show how these quantities for a given transcription factor can be inferred from gene expression levels of a set of known target genes. We treat the protein concentration as a latent function with a Gaussian process prior, and include the sensitivities, mRNA decay rates and baseline expression levels as hyperparameters. We apply this procedure to a human leukemia dataset, focusing on the tumour repressor p53 and obtaining results in good accordance with recent biological studies.

  • 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.

  • Protein Structure Prediction by Comparison: Homology-Based Modeling

    This chapter contains sections titled: Introduction, What Is Comparative Protein Modeling?, Automated Protein Modeling, Very Large-Scale Protein Modeling, Web-Based Automated Protein Modeling, Note about Detailed Modeling, What Defines the Accuracy of a Model, About the Use of Protein Models, Modeling Membrane Proteins, The Future, References



Standards related to Proteins

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No standards are currently tagged "Proteins"


Jobs related to Proteins

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