Conferences related to Proteins

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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

2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

The goal of the 14th ASME/IEEE MESA2018 is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances in the area, discuss future research directions, and exchange application experience. The main achievement of MESA2018 is to bring out and highlight the latest research results and developments in the IoT (Internet of Things) era in the field of mechatronics and embedded systems.

2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control

2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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

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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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Most published Xplore authors for Proteins

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Xplore Articles related to Proteins

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Clustering algorithms applied on analysis of protein molecular dynamics

[{u'author_order': 1, u'affiliation': u'Federal University of Juiz de Fora, Minas Gerais, Brazil', u'full_name': u'Vinicius Carius de Souza'}, {u'author_order': 2, u'affiliation': u'Federal University of Juiz de Fora, Minas Gerais, Brazil', u'full_name': u'Leonardo Goliatt'}, {u'author_order': 3, u'affiliation': u'Federal University of Juiz de Fora, Minas Gerais, Brazil', u'full_name': u'Priscila V. Z. Capriles Goliatt'}] 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI), None

Analysis of molecular dynamic (MD) simulation has been difficult since this method generates a lot of conformations. Thus clustering algorithms have been applied to group similar structures from MD simulations, but the choice of the information to be clustered is still a challenge. In this work, we propose the use of Euclidean distance matrices (EDM) from conformations as input data ...

The 21st Century Engineer

[{u'author_order': 1, u'affiliation': u'US National Science Foundation', u'full_name': u'J. Bordogna'}] IEEE Spectrum, 2001

First Page of the Article ![](/xploreAssets/images/absImages/00893323.png)

Enabling Data Recommendation in Scientific Workflow Based on Provenance

[{u'author_order': 1, u'affiliation': u'Sch. of Comput. Sci., Fudan Univ., Shanghai, China', u'full_name': u'Xing Huang'}, {u'author_order': 2, u'affiliation': u'Sch. of Comput. Sci., Fudan Univ., Shanghai, China', u'full_name': u'Tun Lu'}, {u'author_order': 3, u'affiliation': u'Sch. of Comput. Sci., Fudan Univ., Shanghai, China', u'full_name': u'Xianghua Ding'}, {u'author_order': 4, u'affiliation': u'Sch. of Comput. Sci., Fudan Univ., Shanghai, China', u'full_name': u'Ning Gu'}] 2013 8th ChinaGrid Annual Conference, None

The comparing method plays an important role in scientific research. Scientists often make discoveries by studying differences. Particularly in life science research, the sequence alignment is accomplished by searching for similar structures in reference data files. As the scale of scientific data grows, scientists have to spend much time selecting appropriate data files in experiments, in which trust plays a ...

Synchronization of Bio-Nanomachines Based on Molecular Diffusion

[{u'author_order': 1, u'affiliation': u'School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China', u'full_name': u'Lin Lin'}, {u'author_order': 2, u'affiliation': u'School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China', u'full_name': u'Feiyan Li'}, {u'author_order': 3, u'affiliation': u'School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore', u'full_name': u'Maode Ma'}, {u'author_order': 4, u'affiliation': u'School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China', u'full_name': u'Hao Yan'}] IEEE Sensors Journal, 2016

The ability of engineering biological nanomachines to communicate with biological systems at the molecular level is anticipated to enable a larger application scenario. Single biological nanomachine has limited ability to accomplish target goals, so a nanonetwork, which is composed of interconnected biological nanomachines, is expected. To perform cooperative operations in nanonetworks, the synchronization of the biological nanomachines is essential. This ...

Raman scattering studies of biochemical changes associated with carcinogenesis using tumorigenic and non-tumorigenic cells

[{u'author_order': 1, u'affiliation': u'Bioscience Div., Los Alamos Nat. Lab., NM, USA', u'full_name': u'K. W. Short'}, {u'author_order': 2, u'affiliation': u'Bioscience Div., Los Alamos Nat. Lab., NM, USA', u'full_name': u'S. Carpenter'}, {u'author_order': 3, u'affiliation': u'Bioscience Div., Los Alamos Nat. Lab., NM, USA', u'full_name': u'J. P. Freyer'}, {u'author_order': 4, u'affiliation': u'Bioscience Div., Los Alamos Nat. Lab., NM, USA', u'full_name': u'J. R. Mourant'}] Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, None

Analysis of Raman spectra from a pair of tumorigenic and non-tumorigenic cells derived from rat embryo fibroblast (REF) cells will be presented. M1 cells are an immortalized but non-tumorigenic cell line made by stable transfection with the myc oncogene. MR1 cells are a tumorigenic line derived from MI cells by stable transfection with a mutated ras oncogene. Using these two ...

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Educational Resources on Proteins

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No eLearning Articles are currently tagged "Proteins"


  • Protein Sequence Motif Information Discovery

    The close relationship between protein sequence and structure plays an important role in current analysis and prediction technologies. PROSITE, PRINTS, and BLOCKS are three of the most popular motif databases. Granular computing represents information in the form of aggregates, also called information granules. For a huge and complicated problem, it applies the divide-and-conquer concept to split the original task into several smaller subtasks to save time and space complexity. The major advantages of the Fuzzy Greedy K-Means (FGK) model are reduced spatiotemporal complexity, filtered outliers, and higher-quality granular information results. Since the major purpose of this work is to obtain protein sequence motif information across protein family boundaries, the dataset of this work is intended to represent all known protein sequences. The dataset used in this work includes 2710 PDB protein sequences obtained from the Protein Sequence Culling Server (PISCES).

  • Geometric Models of Protein Structure and Function Prediction

    This chapter describes how protein structures are obtained experimentally and discusses methods for computing the geometry of protein molecules. There are primarily three experimental techniques for obtaining protein structures namely, X-ray crystallography, solution nuclear magnetic resonance (NMR), and recently freeze-sample electron microscopy (cryo-EM). The geometric model of macromolecule amenable to convenient computation is an idealized model, where the shapes of atoms are approximated by three-dimensional balls. The incremental algorithm developed in can be used to compute the weighted tetrahedrization for a set of atoms of different radii. The chapter outlines the algorithm for two-dimensional unweighted Delaunay triangulation. Evolution plays central roles in shaping up the function and stability of protein molecules. The method of analyzing residue substitution rates using continuous-time Markov models and the method of surface mapping of conservation entropy and phylogeny only scratches the surface of this important issue.

  • Algorithmic Frameworks for Protein Disulfide Connectivity Determination

    This chapter presents a comprehensive introduction to the different algorithmic frameworks available at the state of the art for the determination of disulfide bonds by utilizing data from either protein sequences or tandem mass spectrometry (MS). For the former class of techniques, the authors identify the different problem formulations, features, and solution frameworks. They also review a number of techniques in the area and show how the aforementioned issues are addressed in them. For MS-based methods, our narrative focuses primarily on two methods that the authors developed to provide insight into the key challenges and the anatomy of possible solutions and the underlying algorithmic frameworks. In the chapter, the authors present results from the two methods MS2DB and MS2DB+. The underlying MS/MS data were obtained using a capillary liquid chromatography system coupled with a Thermo- Fisher LCQ ion trap mass spectrometer LC/ESI-MS/MS system.

  • Fundamentals of Protein Structure Alignment

    The chapter presents a succinct introduction to the biological, mathematical, and computational aspects of making pairwise comparisons between protein structures. The presentation is intended to be useful for those who are entering this research area. The chapter begins with a brief introduction to the biology of protein comparison, which is followed by a brief taxonomy of the different mathematical frameworks such as contact map overlap (CMO) problem and the largest common point set (LCP) problem for protein structure alignment. The chapter concludes with a couple of more recent pairwise comparison techniques that are at the forefront of efficiency and accuracy. Such methods are becoming important as structural databases grow.

  • Identifying Calcium Binding Sites in Proteins

    Identification of the calcium binding sites in proteins is one of the main barriers to understanding the role of calcium in biological systems. Numerous efforts have been devoted to predicting and visualizing calcium binding sites in proteins with high accuracy and speed. Several methods, such as FEATURE, protein seqFEATURE, or MetSite, used statistical approaches for recognizing calcium binding sites based on a variety of physical and chemical features in calcium binding sites and nonsites. To overcome the disadvantages of the above mentioned approaches, this chapter illustrates three methods based on the geometric and other key features of calcium binding sites: GG, GG2.0, and GSVM. It explains datasets, performance measurement, and detailed implementation of these three methods. Experimental results and discussion are finally presented in the chapter.

  • 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.

  • 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

  • Cells for Tissue Engineering

    Cells provide the functional component of artificial tissue and organs and in this chapter, we introduce the concept of cells at it applies to the tissue and organ fabrication process. We begin with an introduction to cell biology and discuss cell-cell and cell-matrix interactions. We also describe cellular signaling and discuss the structure and function of cellular junctions. We describe the cell culture process and explain different stages of cell culture and expansion. During the course of this chapter, we provide a description of cell transplantation and the use of stem cells for tissue engineering and cell therapy.

  • Protein Contact Order Prediction: Update

    Contact order (CO) is the most widely used approach to quantitatively measure the topological complexity of protein structures. CO can be used to accurately predict protein folding rates and to assist in de novo protein structure prediction/ generation. However, the utility of the CO method, especially for experimentalists, has been limited by the lack of availability of programs or web servers that either support CO calculation or allow CO prediction. For proteins with solved three-dimensional structures, the authors have developed a public web server that accurately calculates COs, thereby overcoming the limited functionality of an earlier web server. In addition, this server also offers a very effective method for predicting protein contact order from primary sequence data. Many factors, in particular the percentage of residues in alpha helices, the percentage of residues in beta strands, and sequence length, are known to be strongly correlated with the absolute contact order.

  • Discovering 3D Protein Structures for Optimal Structure Alignment

    Analyzing three-dimensional protein structures is a very important task in molecular biology. It has been proved that structurally similar proteins tend to have similar functions even if their amino acid sequences are not similar to one another. Thus, it is very important to find proteins with similar structures from the growing database to analyze protein functions. Currently there exist several protein databases publicly available online. These databases assemble various data about proteins, protein structures, protein functions, protein relationships, and other information. This chapter describes the procedure for building the matrix representing the vector model index file. It discusses the suffix tree data structure-its definition, construction algorithms, and main characteristics. The data for protein 3D structures indexing are retrieved from Protein Data Bank (PDB) database, which consists of proteins, nucleic acids, and complex assemblies. The chapter further explains the algorithm for measuring protein similarity on the basis of their tertiary structure.

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