05778nam 2200817Ia 450 991081846750332120200520144314.09786612548574978128254857212825485739780470556757047055675797804705567400470556749(CKB)2670000000014399(EBL)510131(SSID)ssj0000359264(PQKBManifestationID)11269262(PQKBTitleCode)TC0000359264(PQKBWorkID)10383944(PQKB)10552874(Au-PeEL)EBL510131(CaPaEBR)ebr10380955(CaONFJC)MIL254857(PPN)149154445(CaSebORM)9780470180938(MiAaPQ)EBC510131(OCoLC)612330792(OCoLC)837732271(OCoLC)ocn837732271 (OCoLC)318408177(FINmELB)ELB178825(Perlego)2758501(EXLCZ)99267000000001439920090728d2010 uy| 0engur|n|---|||||txtccrElements of computational systems biology /edited by Huma M. Lodhi, Stephen H. Muggleton1st editionOxford Wileyc20101 online resource (435 p.)Wiley series in bioinformaticsDescription based upon print version of record.9780470180938 0470180935 Includes bibliographical references and index.ELEMENTS OF COMPUTATIONAL SYSTEMS BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; PART I OVERVIEW; 1 Advances in Computational Systems Biology; 1.1 Introduction; 1.2 Multiscale Computational Modeling; 1.3 Proteomics; 1.4 Computational Systems Biology and Aging; 1.5 Computational Systems Biology in Drug Design; 1.6 Software Tools for Systems Biology; 1.7 Conclusion; References; PART II BIOLOGICAL NETWORK MODELING; 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness; 2.1 Introduction; 2.2 Models as Dynamical Systems; 2.2.1 Continuous Models; 2.2.2 Discrete Models2.3 The Parameter Problem2.3.1 Parameterphobia; 2.3.2 Measuring and Calculating; 2.3.3 Counter Fitting; 2.3.4 Beyond Fitting; 2.4 The Landscapes of Dynamics; 2.4.1 Qualitative Dynamics; 2.4.2 Steady State Attractors of ODE Models; 2.5 The Meanings of Robustness; 2.5.1 Parameter Biology; 2.5.2 Robustness to Initial Conditions; 2.5.3 Robustness in Reality; 2.5.4 Structural Stability; 2.5.5 Classifying Robustness; 2.6 Conclusion; References; 3 In Silico Analysis of Combined Therapeutics Strategy for Heart Failure; 3.1 Introduction; 3.2 Materials and Methods3.2.1 Model Construction and Validation3.2.2 Classification of Different Heart Failure Cases; 3.2.3 Simulation Protocol; 3.3 Results; 3.3.1 β-Adrenergic Receptor Antagonists; 3.3.2 β-Adrenergic Receptor Kinase Inhibitor; 3.3.3 Phosphodiesterase Inhibitor; 3.3.4 Combined Therapies; 3.4 Discussion; Acknowledgment; 3A.1 Appendix; 3A.1.1 Model Validation; 3A.1.2 The Mathematical Model Used for Simulations; References; 4 Rule-Based Modeling and Model Refinement; 4.1 Kappa, Briefly; 4.2 Refinement, Practically; 4.2.1 A Simple Cascade; 4.2.2 Another Cascade; 4.2.3 The SSA Convention4.2.4 A Less Obvious Refinement4.3 Rule-Based Modeling; 4.3.1 Notation; 4.3.2 Objects and Arrows; 4.3.3 Extensions; 4.3.4 Actions and Rules; 4.3.5 Events and Probabilities; 4.4 Refinement, Theoretically; 4.4.1 Growth Policies; 4.4.2 Simple Growth Policies; 4.4.3 Neutral Refinements; 4.4.4 Example Concluded; 4.4.5 Growth Policies, Concretely; 4.4.6 A Weakly Homogeneous Refinement; 4.4.7 Nonhomogeneous Growth Policies; 4.5 Conclusion; References; 5 A (Natural) Computing Perspective on Cellular Processes; 5.1 Natural Computing and Computational Biology; 5.2 Membrane Computing5.3 Formal Languages Preliminaries5.4 Membrane Operations with Peripheral Proteins; 5.5 Membrane Systems with Peripheral Proteins; 5.5.1 Dynamics of the System; 5.5.2 Reachability in Membrane Systems; 5.6 Cell Cycle and Breast Tumor Growth Control; 5.6.1 Cell Cycle Progression Inhibition in G1/S; 5.6.2 Cell-Cycle Progression Inhibition in G2/M; References; 6 Simulating Filament Dynamics in Cellular Systems; 6.1 Introduction; 6.2 Background: The Roles of Filaments within Cells; 6.2.1 The Actin Network; 6.2.2 Intermediate Filaments; 6.2.3 Microtubules; 6.3 Examples of Filament Simulations6.3.1 Actin-Based Motility in Listeria Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceuticaWiley series on bioinformatics.Systems biologyComputational biologySystems biology.Computational biology.570.285Lodhi Huma M1640712Muggleton Stephen1640713MiAaPQMiAaPQMiAaPQBOOK9910818467503321Elements of computational systems biology3984377UNINA03762nam 22005894a 450 991100698220332120250519155614.01-282-02766-297866120276660-08-094698-40-8155-1931-1(CKB)1000000000000083(EBL)428701(OCoLC)468767278(SSID)ssj0000073114(PQKBManifestationID)11996759(PQKBTitleCode)TC0000073114(PQKBWorkID)10103276(PQKB)10481529(MiAaPQ)EBC428701(EXLCZ)99100000000000008320030811d2004 uy 0engur|n|---|||||txtccrThin film materials technology sputtering of compound materials /by Kiyotaka Wasa, Makoto Kitabatake, Hideaki AdachiNorwich, NY William Andrew Pub. ;Heidelberg Springerc20041 online resource (533 p.)Description based upon print version of record.0-8155-1483-2 Includes bibliographical references and index.Front Cover; Thin Film Materials Technology: Sputtering of Compound Materials; Copyright Page; Table of Contents; Chapter 1. Thin Film Materials and Devices; 1.1 THIN FILM MATERIALS; 1.2 THIN FILM DEVICES; REFERENCES; Chapter 2. Thin Film Processes; 2.1 THIN FILM GROWTH PROCESS; 2.2 THIN FILM DEPOSITION PROCESS; 2.3 CHARACTERIZATION; REFERENCES; Chapter 3. Sputtering Phenomena; 3.1 SPUTTER YIELD; 3.2 SPUTTERED ATOMS; 3.3 MECHANISMS OF SPUTTERING; REFERENCES; Chapter 4. Sputtering Systems; 4.1 DISCHARGE IN A GAS; 4.2 SPUTTERING SYSTEMS; 4.3 PRACTICAL ASPECTS OF SPUTTERING SYSTEMS; REFERENCESChapter 5. Deposition of Compound Thin Films5.1 OXIDES; 5.2 NITRIDES; 5.3 CARBIDES AND SILICIDES; 5.4 DIAMOND; 5.5 SELENIDES; 5.6 AMORPHOUS THIN FILMS; 5.7 SUPERLATTICE STRUCTURES; 5.8 ORGANIC THIN FILMS; 5.9 MAGNETRON SPUTTERING UNDER A STRONG MAGNETIC FIELD; REFERENCES; Chapter 6. Structural Control of Compound Thin Films: Perovskite and Nanometer Oxide Thin Films; 6.1 FERROELECTRIC MATERIALS AND STRUCTURES; 6.2 CONTROL OF STRUCTURE; 6.3 NANOMETER STRUCTURE; 6.4 INTERFACIAL CONTROL; REFERENCES; Chapter 7. Microfabrication by Sputtering; 7.1 CLASSIFICATION OF SPUTTER ETCHING7.2 ION-BEAM SPUTTER ETCHING7.3 DIODE SPUTTER ETCHING; 7.4 DEPOSITION INTO DEEP-TRENCH STRUCTURES; REFERENCES; Appendix; Table A.1 Electric Units, Their Symbols and Conversion Factors; Table A.2 Fundamental Physical Constants; List of Acronyms; IndexAn invaluable resource for industrial science and engineering newcomers to sputter deposition technology in thin film production applications, this book is rich in coverage of both historical developments and the newest experimental and technological information about ceramic thin films, a key technology for nano-materials in high-speed information applications and large-area functional coating such as automotive or decorative painting of plastic parts, among other topics. In seven concise chapters, the book thoroughly reviews basic thin film technology and deposition processes, sputtering proCathode sputtering (Plating process)Thin filmsCathode sputtering (Plating process)Thin films.621.3815/2Wasa Kiyotaka1824221Kitabatake Makoto1824222Adachi Hideaki1824223MiAaPQMiAaPQMiAaPQBOOK9911006982203321Thin film materials technology4391315UNINA