Computational Modeling Of Membrane Bilayers,60, Sundararajan, V.

Автор: Kunal Roy
Название: Advances in QSAR Modeling
ISBN: 3319568493 ISBN-13(EAN): 9783319568492
Издательство: Springer
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Цена: 307450.00 T
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Описание: The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included - two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.

Автор: Jordi H. Borrell; ?scar Dom?nech; Kevin M.W. Keoug
Название: Membrane Protein – Lipid Interactions: Physics and Chemistry in the Bilayer
ISBN: 3319302752 ISBN-13(EAN): 9783319302751
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book has been conceives as a brief introduction to biomembranes physical chemistry for undergraduate students of sciences, and it is particularly dedicated to the lipid-protein membrane interactions.

Автор: Iglic,Ales
Название: Advances In Planar Lipid Bilayers And Liposomes,21
ISBN: 0128021160 ISBN-13(EAN): 9780128021163
Издательство: Elsevier Science
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Цена: 176290.00 T
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Автор: Iglic,Ales
Название: Advances In Planar Lipid Bilayers And Liposomes,20
ISBN: 012418698X ISBN-13(EAN): 9780124186989
Издательство: Elsevier Science
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Цена: 215590.00 T
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Автор: Ales Iglic
Название: Advances in Planar Lipid Bilayers and Liposomes,22
ISBN: 0128028785 ISBN-13(EAN): 9780128028780
Издательство: Elsevier Science
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Цена: 176290.00 T
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Описание: The Elsevier book-series Advances in Planar Lipid Bilayers and Liposomes, provides a global platform for a broad community of experimental and theoretical researchers studying cell membranes, lipid model membranes and lipid self-assemblies from the micro- to the nanoscale. Planar lipid bilayers are widely studied due to their ubiquity in nature and find their application in the formulation of biomimetic model membranes and in the design of artificial dispersion of liposomes. Moreover, lipids self-assemble into a wide range of other structures including micelles and the liquid crystalline hexagonal and cubic phases. Consensus has been reached that curved membrane phases do play an important role in nature as well, especially in dynamic processes such as vesicles fusion and cell communication. Self-assembled lipid structures have enormous potential as dynamic materials ranging from artificial lipid membranes to cell membranes, from biosensing to controlled drug delivery, from pharmaceutical formulations to novel food products to mention a few. An assortment of chapters in APLBL represents both an original research as well as comprehensives reviews written by world leading experts and young researchers.

Название: Peptide–Membrane Interactions: Faraday Discussion 232
ISBN: 1788019148 ISBN-13(EAN): 9781788019149
Издательство: Royal Society of Chemistry
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Цена: 239360.00 T
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Описание: This volume will address several related aspects of peptide interactions with membranes. It will consider model theoretical and experimental systems with relevance to fundamental questions in cell biology, including how peptides and proteins behave within biological membranes.

Автор: Dayan, Peter Abbott, L.f.
Название: Theoretical neuroscience
ISBN: 0262541858 ISBN-13(EAN): 9780262541855
Издательство: MIT Press
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Цена: 62070.00 T
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Описание:

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Автор: Ying Xu; Dong Xu; Jie Liang
Название: Computational Methods for Protein Structure Prediction and Modeling
ISBN: 1441922067 ISBN-13(EAN): 9781441922069
Издательство: Springer
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Цена: 174130.00 T
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Описание: Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem.

Автор: Hemant K. Bhargava; Nong Ye
Название: Computational Modeling and Problem Solving in the Networked World
ISBN: 1461353661 ISBN-13(EAN): 9781461353669
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book is a compilation of a selected subset of research articles presented at the Eighth INFORMS Computing Society Conference, held in Chandler, Arizona, from January 8 to 10, 2003.

Автор: Cassenti
Название: Advances in Human Factors in Simulation and Modeling
ISBN: 3319942220 ISBN-13(EAN): 9783319942223
Издательство: Springer
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Цена: 186330.00 T
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Описание: Proceedings of the AHFE 2018 International Conference on Human Factors and Simulation, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA

Автор: Wilson Philippe B., Grootveld Martin
Название: Computational Techniques for Analytical Chemistry and Bioanalysis
ISBN: 1788014618 ISBN-13(EAN): 9781788014618
Издательство: Royal Society of Chemistry
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Цена: 237950.00 T
Наличие на складе: Невозможна поставка.
Описание: This work will serve as a definitive overview of the field of computational simulation as applied to analytical chemistry and biology, drawing on recent advances as well as describing essential, established theory for graduates and postgraduate researchers.

Автор: Schiesser William E.
Название: Virus Host Cell Genetic Material Transport: Computational Ode/Pde Modeling with R
ISBN: 303068864X ISBN-13(EAN): 9783030688646
Издательство: Springer
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Цена: 121110.00 T
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Описание: The reproduction and spread of a virus during an epidemic proceeds when the virus attaches to a host cell and viral genetic material (VGM) (protein, DNA, RNA) enters the cell, then replicates, and perhaps mutates, in the cell. The movement of the VGM across the host cell outer membrane and within the host cell is a spatiotemporal dynamic process that is modeled in this book as a system of ordinary and partial di?erential equations (ODE/PDEs). The movement of the virus proteins through the cell membrane is modeled as a diffusion process expressed by the di?usion PDE (Fick’s second law). Within the cell, the time variation of the VGM is modeled as ODEs. The evolution of the dependent variables is computed by the numerical integration of the ODE/PDEs starting from zero initial conditions (ICs). The departure of the dependent variables from zero is in response to the virus protein concentration at the outer membrane surface (the point at which the virus binds to the host cell). The numerical integration of the ODE/PDEs is performed with routines coded (programmed) in R, a quality, open-source scienti?c computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The ODE/PDE dependent variables are displayed graphically with basic R plotting utilities. The R routines are available from a download link so that the example models can be executed without having to ?rst study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE model, such as changes in the parameters and the form of the model equations.