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The 2nd International Brassinosteroid Conference(第二届国际油菜素甾醇会议)

作者： Huaxun Ye Buyun Tang Sanzhen Liu Trevor Nolan Jiani Chen Zhouli Xie Hongqing Guo Maneesha Aluru Srinivas Aluru Dawei Zhang Honghui Lin Hongning Tong Chengcai Chu Mingcai Zhang Zhaohu Li Patrick Schnable Yanhai Yin Institute of Genetics and Developmental Biology Chinese Academy of SciencesChina School of Biology Georgia Institute of TechnologyUSA School of Computer Science and Engineering Georgia Institute of TechnologyUSA Department of Agronomy China Agricultural UniversityBeijing 100193China Data2Bio LLC AmesIA 50011-3650USA Department of Genetics Development and Cell BiologyIowa State UniversityUSA Department of Agronomy Iowa State UniversityUSA Department of Plant Pathology Kansas State UniversityUSA

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11th German Conference on Chemoinformatics (GCC 2015) Abstracts

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JOURNAL OF CHEMINFORMATICS 2016年第SUPPL 1期8卷 1-27页

作者： [Anonymous] GDCh-CIC Division Associated Board Member Beilstein-Institut zur Förderung der Chemischen Wissenschaften Trakehner Str. 7-9 60487 Frankfurt Germany. ufechner@beilstein-institut.de. Division Medicinal Chemistry Amsterdam Institute for Molecules Medicines and Systems (AIMMS) VU University Amsterdam The Netherlands. Centre for Bioinformatics Uni Hamburg Bundesstr. 43 20146 Hamburg Germany. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. stefan.guessregen@***. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. GlaxoSmithKline Stevenage SG1 2NY UK. nicola.j.richmond@***. Discngine Paris 75011 France. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. marwin.segler@wwu.de. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. Bundeskriminalamt Wiesbaden Central Analytics II 65173 Wiesbaden Germany. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. shea@chem.ucsb.edu. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. Chemistry Department Ludwig-Maximilians-Universität München Butenandtstr. 7 81377 Munich Germany. Inorganic Chemistry and Center for Nanointegration University of Duisburg-Essen Essen Germany. CAM-D Technologies Essen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. achim.zielesny@w-hs.de. Leiden University Leiden Netherlands. j.fraaije@chem.leidenuniv.nl. Culgi BV Berlin Germany. Physikalische Chemie III TU Dortmund 44227 Dortmund Germany. stefan.kast@tu-dortmund.de. Centre for Molecular Informatics Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom. kcb27@cam.ac.uk. Centre for Molecular Informatics Department of Chemistry

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The Reaction Coordinate of a Bacterial GH47 α‐Mannosidase: A Combined Quantum Mechanical and Structural Approach†

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Angewandte Chemie 2012年第44期124卷

作者： Andrew J. Thompson Jerome Dabin Javier Iglesias‐Fernández Albert Ardèvol Zoran Dinev Spencer J. Williams Omprakash Bande Aloysius Siriwardena Carl Moreland Ting‐Chou Hu David K. Smith Harry J. Gilbert Carme Rovira Gideon J. Davies Department of Chemistry University of York Heslington York YO10 5DD (UK) Computer Simulation & Modeling Laboratory Parc Científic de Barcelona Baldiri Reixac 4 08028 Barcelona (Spain) Institut de Química Teòrica i Computacional (IQTCUB) (Spain) Present address: Departament de Química Orgànica Universitat de Barcelona Martí i Franquès 1 08028 Barcelona (Spain) Present address: Department of Chemistry and Applied Biosciences ETH Zurich USI Campus Via Giuseppe Buffi 13 CH‐6900 Lugano (Switzerland) School of Chemistry and Bio21 Molecular Science and Biotechnology Institute University of Melbourne Parkville (Australia) Université de Picardie Jules Vernes Laboratoire des Glucides (CNRS‐FRE 3617) 33 Rue Saint Leu 80039 Amiens (France) Institute for Cell and Molecular Biosciences The Medical School Newcastle University Framlington Place Newcastle upon Tyne NE2 4HH (UK) Institució Catalana de Recerca i Estudis Avançats (ICREA) Passeig Lluís Companys 23 08020 Barcelona (Spain)

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Innenrücktitelbild: The Reaction Coordinate of a Bacterial GH47 α‐Mannosidase: A Combined Quantum Mechanical and Structural Approach (Angew. Chem. 44/2012)

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Angewandte Chemie 2012年第44期124卷

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Inside Back Cover: The Reaction Coordinate of a Bacterial GH47 α-Mannosidase: A Combined Quantum Mechanical and Structural Approach (Angew. Chem. Int. Ed. 44/2012)

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Angewandte Chemie International Edition 2012年第44期51卷

作者： Andrew J. Thompson Dr. Jerome Dabin Javier Iglesias-Fernández Dr. Albert Ardèvol Dr. Zoran Dinev Assoc. Prof. Spencer J. Williams Dr. Omprakash Bande Dr. Aloysius Siriwardena Carl Moreland Dr. Ting-Chou Hu David K. Smith Prof. Harry J. Gilbert Prof. Carme Rovira Prof. Gideon J. Davies Department of Chemistry University of York Heslington York YO10 5DD (UK) Computer Simulation & Modeling Laboratory Parc Científic de Barcelona Baldiri Reixac 4 08028 Barcelona (Spain) Institut de Química Teòrica i Computacional (IQTCUB) (Spain) Present address: Departament de Química Orgànica Universitat de Barcelona Martí i Franquès 1 08028 Barcelona (Spain) Present address: Department of Chemistry and Applied Biosciences ETH Zurich USI Campus Via Giuseppe Buffi 13 CH-6900 Lugano (Switzerland) School of Chemistry and Bio21 Molecular Science and Biotechnology Institute University of Melbourne Parkville (Australia) Université de Picardie Jules Vernes Laboratoire des Glucides (CNRS-FRE 3617) 33 Rue Saint Leu 80039 Amiens (France) Institute for Cell and Molecular Biosciences The Medical School Newcastle University Framlington Place Newcastle upon Tyne NE2 4HH (UK) Institució Catalana de Recerca i Estudis Avançats (ICREA) Passeig Lluís Companys 23 08020 Barcelona (Spain) Carme Rovira Computer Simulation & Modeling Laboratory Parc Científic de Barcelona Baldiri Reixac 4 08028 Barcelona (Spain) Gideon J. Davies Department of Chemistry University of York Heslington York YO10 5DD (UK)

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Invisible calibration pattern based on human visual perception

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and Systems 2010年第8期130卷 1440-1447+19页

作者： Takimoto, Hironori Yoshimori, Seiki Mitsukura, Yasue Fukumi, Minoru Faculty of Computer Science and Syst. Eng. Okayama Prefectural University 111 Kuboki Soja Okayama 719-1197 Japan Dept. of Media Technologies Faculty of Eng. Nippon Bunri University 1727 Ichigi Oita Oita 870-0397 Japan Graduate School of Bio-Applications and System Enginner-ing Tokyo University of Agriculture and Technology 2-24-16 Nakamachi Koganei Tokyo 184-8588 Japan Dept. of Information Science and Intteligent Syst. Faculty of Eng. University of Tokushima 2-1 Minami-Josanjima Tokushima Tokushima 770-8506 Japan

In this paper, we propose an arrangement and detection method of an invisible calibration pattern based on characteristics of human visual perception. A calibration pattern is arranged around contents where invisible data is embedded, as some feature points between an original image and the scanned image for normalization of the scanned image. However, it is clear that conventional methods interfere with page layout and artwork of contents. Moreover, conventional visible patterns show a third person the position of embedded data. Therefore, visible calibration patterns are not suitable for security service. The most important part of human visual perception in the proposed method is the spectral luminous efficiency characteristic and the chromatic spatial frequency characteristic. In addition, a back ground color in surrounding of contents is not restricted to uniform color by using the proposed calibration pattern. It is suggest that the proposed method protect page layout and artwork. © 2010 The Institute of Electrical Engineers of Japan.

关键词： Image processing

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Classification of hand postures based on 3D vision model for human-robot interaction

Classification of hand postures based on 3D vision model for...

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19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010

作者： Takimoto, Hironori Yoshimori, Seiki Mitsukura, Yasue Fukumi, Minoru Faculty of Computer Science and System Engineering Communication and Engineering Okayama Prefectural University 111 Kuboki Soja Okayama 719-1197 Japan Faculty of Engineering Nippon Bunri University 1727 Ichigi Oita 870-0397 Japan Graduate School of Bio-Application and Systems Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Higashi-koganei Tokyo 184-8588 Japan Dept. of Information and Science Intelligent Systems University of Tokushima 2-1 Minami-josanjima Tokushima 770-8506 Japan

ISBN: (纸本)9781424479917

In this paper, a method for hand posture recognition, which is robust for hand posture changing in an actual environment, is proposed. Conventionally, a data glove device and a 3D scanner have been used for the feature extraction of hand shape. However, the performance of each approach is affeected by hand posture changing. Therefore, this paper proposes the posture fluctuation model for efficient hand posture recognition, based on 3D hand shape and color feature obtained from a stereo camera. A large set of dictionary for posture recognition is built by various leaned hand images which were auto-created from one scanned hand image, based on plural proposed models. In order to show the effectiveness of proposed method, performance and processing times for posture recognition are compared to conventional method. In addition, we perform the evaluation experiment by using the Japanese sign language. © 2010 IEEE.

关键词： Human robot interaction

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A commercial MOSFET-based biosensor with a gold extended-gate electrode

A commercial MOSFET-based biosensor with a gold extended-gat...

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Smart biomedical and Physiological Sensor Technology VI

作者： Lyu, Hong-Kun Choi, Young-Sam Shin, Jang-Kyoo Kim, Jae-Hyun Division of Nano and Bio Technology Daegu-Gyeongbuk Institute of Science and Technology Daegu Technopark Venture 2 Plant 711 Hosan-dong Dalseo-gu Daegu 704-230 Korea Republic of School of Electrical Engineering and Computer Science Kyungpook National University 1370 Sankyuk-dong Buk-gu Daegu 702-701 Korea Republic of

ISBN: (纸本)9780819475794

This paper presents a commercial metal-oxide-semiconductor field-effect transistor (MOSFET)-based biosensor with a gold extended-gate electrode for the electronic detection of C-reactive protein (CRP). From a component point of view, the commercial MOSFET-based biosensor consists of a commercial MOSFET with a socket for connecting the gold electrode which was fixed on a printed circuit board (PCB) and a reaction-vessel module which was assembled with the gold electrode and the Ag/AgCl reference electrode. The gold electrode with only one gold layer was fabricated on a glass substrate simply and it was used as the extended-gate metal to form a self-assembled monolayer (SAM). The binding of the CRP to anti-CRP was detected by measuring the electrical characteristics of the biosensor. Variation of the drain current before and after the interaction of CRP and anti-CRP was about 1.2mA on the measured IDS-VDS and real-time characteristics. The concentration of the CRP solution was adjusted to 10 μg/ml by dissolving in PBS. The change of surface voltage of the gold extended-gate electrode was about 30mV by IDS-VGS characteristic curve of the commercial MOSFET. Therefore, it is confirmed that the detection of CRP is possible by measuring the drain current of the commercial MOSFET. The proposed biosensor might open up a new possibility for FET-based biosensors with lowcost and simple construction. It is expected that the commercial MOSFET-based biosensor with the gold extended-gate electrode could also be used for detecting various biomarkers by modifying the surface of the gold extended-gate electrode. © 2009 SPIE.

关键词： biosensors

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Time progression of a parametric impulse response function estimate from intra-partum cardiotocography for normal and hypoxic fetuses

Time progression of a parametric impulse response function e...

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computers in Cardiology (CinC)

作者： P.A. Warrick R.E. Kearney D. Precup E.F. Hamilton LMS Medical Systems Inc. Montreal QUE Canada Biomedical Engineering Department McGill University Montreal QUE Canada Bio2School of Computer Science McGill University Montreal QUE Canada Department of Obstetrics and Gynecology McGill University Montreal QUE Canada

We compared the time evolution of a parametric system identification model of cardiotocography (CTG) during the last three hours of labour and delivery. The models are the impulse response functions (IRFs) of the system relating the uterine pressure (UP) and fetal heart rate (FHR). We used surrogate data to assess the likelihood that the model successfully identified system dynamics. We then investigated the ability of the models to indicate fetal distress by comparing normal and hypoxic cases. For pathological and normal fetuses, model output standard deviation sigma Y circ, first IRF minimum time T min and variance accounted for (VAF) were discriminating in the first two hours. In the final hour however, only T min remained discriminating. For intermediate and normal cases, sigma Y circ was always discriminating while T min discriminated in the final hour only. These results suggest that detecting some pathological and intermediate cases before injury occurs may be possible; this would be very useful clinically.

关键词： Cardiography System identification Fetal heart rate Pathology Parametric statistics Linear regression Nonlinear dynamical systems Testing biomedical engineering computer science

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Growth control of the eukaryote cell: A systems biology study in yeast

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Journal of biology 2007年第2期6卷 4-4页

作者： Castrillo, Juan I. Zeef, Leo A. Hoyle, David C. Zhang, Nianshu Hayes, Andrew Gardner, David C.J. Cornell, Michael J. Petty, June Hakes, Luke Wardleworth, Leanne Rash, Bharat Brown, Marie Dunn, Warwick B. Broadhurst, David Hester, Svenja S. Dunkley, Tom P.J. Hart, Sarah R. Swainston, Neil Li, Peter Gaskell, Simon J. Paton, Norman W. Lilley, Kathryn S. Kell, Douglas B. Oliver, Stephen G. Faculty of Life Sciences Michael Smith Building University of Manchester Manchester M13 9PT Oxford Road United Kingdom Northwest Institute for Bio-Health Informatics (NIBHI) School of Medicine University of Manchester Manchester M13 9PT Oxford Road United Kingdom School of Computer Science Kilburn Building University of Manchester Manchester M13 9PL Oxford Road United Kingdom School of Chemistry Manchester Interdisciplinary Biocentre University of Manchester Manchester M1 7DN 131 Princess St United Kingdom Cambridge Centre for Proteomics Department of Biochemistry University of Cambridge Cambridge CB2 1QW United Kingdom Manchester Centre for Integrative Systems Biology Manchester Interdisciplinary Biocentre University of Manchester Manchester M1 7DN 131 Princess St United Kingdom

Background. Cell growth underlies many key cellular and developmental processes, yet a limited number of studies have been carried out on cell-growth regulation. Comprehensive studies at the transcriptional, proteomic and metabolic levels under defined controlled conditions are currently lacking. Results. Metabolic control analysis is being exploited in a systems biology study of the eukaryotic cell. Using chemostat culture, we have measured the impact of changes in flux (growth rate) on the transcriptome, proteome, endometabolome and exometabolome of the yeast Saccharomyces cerevisiae. Each functional genomic level shows clear growth-rate-associated trends and discriminates between carbon-sufficient and carbon-limited conditions. Genes consistently and significantly upregulated with increasing growth rate are frequently essential and encode evolutionarily conserved proteins of known function that participate in many protein-protein interactions. In contrast, more unknown, and fewer essential, genes are downregulated with increasing growth rate;their protein products rarely interact with one another. A large proportion of yeast genes under positive growth-rate control share orthologs with other eukaryotes, including humans. Significantly, transcription of genes encoding components of the TOR complex (a major controller of eukaryotic cell growth) is not subject to growth-rate regulation. Moreover, integrative studies reveal the extent and importance of post-transcriptional control, patterns of control of metabolic fluxes at the level of enzyme synthesis, and the relevance of specific enzymatic reactions in the control of metabolic fluxes during cell growth. Conclusion. This work constitutes a first comprehensive systems biology study on growth-rate control in the eukaryotic cell. The results have direct implications for advanced studies on cell growth, in vivo regulation of metabolic fluxes for comprehensive metabolic engineering, and for the design of genome-scale s

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