The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discoveries and biological insights. The First Cancer Systems Biology Book Designed for Computational and Experimental BiologistsUnusual in its dualistic approach, Cancer Systems Biology discusses the recent progress in the understanding of cancer systems biology at a time when more and more researchers and pharmaceutical companies are looking into a systems biology approach to find drugs that can effectively be used to treat cancer patients. Includes Contributions from more than 30 International ExpertsPart I introduces basic concepts and theories of systems biology and their applications in cancer research, including case studies of current efforts in cancer systems biology. Part II discusses basic cancer biology and cutting-edge topics of cancer research for computational biologists. In contains an overview of genomics, cell signaling, and tumorigenesis, in addition to hot topics like molecular mechanisms of cancer metastasis and the molecular relationships between solid tumors, their microenvironments, and tumor blood vessels. Rounding out the book's solid coverage, Part III explores a variety of computational tools and public data resources that are useful for studying cancer problems at a systems level. Cancer systems biology is still in its infancy as a field of study, but it is fast becoming indispensable in the battle to defeat cancer and develop successful new treatments. Cancer Systems Biology marks an important step toward reaching that goal.

Thermostable Proteins: Structural Stability and Design provides a comprehensive, updated account of the physical basis of enhanced stability of thermophilic proteins and the design of tailor-made thermostable proteins, paving the way for their possible industrial applications. This book is devoted to understanding the survival mechanisms of "thermophilic life forms" at the molecular level with an emphasis on design strategies. The review chapters presented in Thermostable Proteins span a wide range of protein thermostability research. Basic structural, thermodynamic, and kinetic principles are explained and molecular strategies for the adaptation to high temperatures are delineated. In addition, this book covers: Computing and simulation methods in current and future thermostability research, especially in nonempirical situations How rigidity theory is used to improve the thermal adaptation of mesophiles Subtilisin-like serine proteases and their significant engineering applications The state of knowledge concerning structure-function relations and the origins of their structural stability Computational and experimental approaches for the design of proteins with increased thermal stability based on sequences or three-dimensional structures Understanding the molecular basis of how thermostable and hyperthermostable proteins gain and maintain their stability and biological function at high temperatures remains an important scientific challenge. A more detailed knowledge of protein stability not only deepens our understanding of protein structure but also helps in obtaining insights into processes that drive protein activities-folding, unfolding, and misfolding-essential to biological function.

Chronic disease states of aging should be viewed through the prism of metabolism and biophysical processes at all levels of physiological organization present in the human body. The first volumeconnects these insights to what causes them to go awry in the context of unhealthy human behaviors and aging, aiming to buttress scientific creativity. It also provides links between the art and science of medicine that strengthens problem-solving in patient care. New and important discoveries in the area of metabolic health and metabolic diseases are discussed in exquisite detail. The second volume describes the building blocks of understanding from a reasonable but not high-level technical language viewpoint, employing the perspective of a clinical physician. It brings together concepts from five specific branches of physics relevant to biology and medicine, namely, biophysics, classical electromagnetism, thermodynamics, systems biology and quantum mechanics.

Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." - Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." - Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications'

Standing as the first unified textbook on the subject, Liquid Crystals and Their Computer Simulations provides a comprehensive and up-to-date treatment of liquid crystals and of their Monte Carlo and molecular dynamics computer simulations. Liquid crystals have a complex physical nature, and, therefore, computer simulations are a key element of research in this field. This modern text develops a uniform formalism for addressing various spectroscopic techniques and other experimental methods for studying phase transitions of liquid crystals, and emphasises the links between their molecular organisation and observable static and dynamic properties. Aided by the inclusion of a set of Appendices containing detailed mathematical background and derivations, this book is accessible to a broad and multidisciplinary audience. Primarily intended for graduate students and academic researchers, it is also an invaluable reference for industrial researchers working on the development of liquid crystal display technology.

Analytical ultracentrifugation (AUC) can supply rich information on the mass, shape, size distribution, solvation, and composition of macromolecules and nanoscopic particles. It also provides a detailed view of their reversible single- or multi-component interactions over a wide range of affinities. Yet this powerful technique has been hard to master in mainstream molecular sciences due to a lack of comprehensive books on the subject. Filling this gap in the literature of biophysical methodology, Basic Principles of Analytical Ultracentrifugation explains the fundamentals in the theory and practice of AUC. The book provides you with up-to-date experimental information to confidently practice AUC. You will understand the basic concepts, full potential, and possible pitfalls of AUC as well as appreciate the current relevance of past work in the field. The book first introduces the basic principles and technical setup of an AUC experiment and briefly describes the optical systems used for detection. It then explores the ultracentrifugation experiment from a macromolecular standpoint, offering a detailed physical picture of the sedimentation process and relevant macromolecular parameters. The authors present important practical aspects for conducting an experiment, including sample preparation, data acquisition and data structure, and the execution of the centrifugal experiment. They also cover instrument calibration and quality control experiments.

Provides a stimulating introduction to the structures and functions of ion channels of membranes of biological cells and discusses the biophysics of ion channels in condensed matter state and physiological condition Addresses natural processes and nanotechnology opportunities for their purposeful manipulation Lays the groundwork for vitally important medical advances

Stem Cell Labeling for Delivery and Tracking Using Noninvasive Imaging provides a comprehensive overview of cell therapy imaging, ranging from the basic biology of cell therapeutic choices to the preclinical and clinical applications of cell therapy. It emphasizes the use of medical imaging for therapeutic delivery/targeting, cell tracking, and determining therapeutic efficacy. The book first presents background information and insight on the major classes of stem and progenitor cells. It then describes the main imaging modalities and state-of-the-art techniques that are currently employed for stem cell tracking. In the final chapters, leading scholars offer clinical perspectives on existing and potential uses of stem cells as well as the impact of image-guided delivery and tracking in major organ systems. Through clear descriptions and color images, this volume illustrates how noninvasive imaging is used to track stem cells as they repair damaged tissue in the body. With contributions from some of the most prominent preclinical and clinical researchers in the field, the book helps readers to understand the evolving concepts of stem cell labeling and tracking as the field continues to move forward.

The Latest Developments on the Role of Dynamics in Protein Functions Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods presents modern biomolecular computational techniques that address protein flexibility/dynamics at all levels of theory. An international contingent of leading researchers in chemistry, physics, and biology show how these advanced methods provide insights into dynamic aspects of biochemical processes. A particular focus is on intrinsically disordered proteins (IDPs), which lack a well-defined three-dimensional structure and function as dynamic ensembles. The book covers a wide spectrum of dynamics, from electronic structure-based to coarse-grained techniques via multiscaling at different levels. After an introduction to dynamics and historical overview of basic methodologies, the book addresses the following issues: Is there a quantitative relationship between enzymatic catalysis and protein dynamics? Which are the functionally relevant motions of proteins? How can structural properties and partner recognition mechanisms of IDPs be simulated? How can we speed up molecular dynamics? How can we describe conformational ensembles by the synergistic effort of computations and experiments? While dynamics is now considered essential for interpreting protein action, it is not yet an integral component in establishing structure-function relationships of proteins. Helping to reshape this classical view in biochemistry, this groundbreaking book explores advances in computational methodology and contributes to the new, ensemble way of studying proteins.

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting CancerDrawn from the authors' decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological ApplicationsSuitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

This landmark collective work introduces the physical, chemical, and biological principles underlying photosynthesis: light absorption, excitation energy transfer, and charge separation. It begins with an introduction to properties of various pigments, and the pigment proteins in plant, algae, and bacterial systems. It addresses the underlying physics of light harvesting and key spectroscopic methods, including data analysis. It discusses assembly of the natural system, its energy transfer properties, and regulatory mechanisms. It also addresses light-harvesting in artificial systems and the impact of photosynthesis on our environment. The chapter authors are amongst the field's world recognized experts. Chapters are divided into five main parts, the first focused on pigments, their properties and biosynthesis, and the second section looking at photosynthetic proteins, including light harvesting in higher plants, algae, cyanobacteria, and green bacteria. The third part turns to energy transfer and electron transport, discussing modeling approaches, quantum aspects, photoinduced electron transfer, and redox potential modulation, followed by a section on experimental spectroscopy in light harvesting research. The concluding final section includes chapters on artificial photosynthesis, with topics such as use of cyanobacteria and algae for sustainable energy production. Robert Croce is Head of the Biophysics Group and full professor in biophysics of photosynthesis/energy at Vrije Universiteit, Amsterdam. Rienk van Grondelle is full professor at Vrije Universiteit, Amsterdam. Herbert van Amerongen is full professor of biophysics in the Department of Agrotechnology and Food Sciences at Wageningen University, where he is also director of the MicroSpectroscopy Research Facility. Ivo van Stokkum is associate professor in the Department of Physics and Astronomy, Faculty of Sciences, at Vrije Universiteit, Amsterdam.

This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. Chapters explain how to convert raw experimental data into 3D conformations, and how to use models to better understand biophysical mechanisms that control chromosome conformation. The coverage ranges from introductory chapters to modeling aspects related to polymer physics, and data-driven models for genomic domains, the entire human genome, epigenome folding, chromosome structure and dynamics, and predicting 3D genome structure.

Principles and Applications of Therapeutic Ultrasound in Healthcare introduces concepts, principles, construction, and applications of therapeutic ultrasound: from bench to bedside. A comprehensive examination of the industry and medical application of ultrasound therapy, this book highlights working principles, research progress, and system structures of therapeutic ultrasound. It describes the principles of therapeutic ultrasound, details the system construction, introduces current and emerging applications, and discusses developing therapeutic ultrasound technologies. Divided into two parts, the book first introduces the fundamentals of biomedical acoustics, discusses ultrasound calibration methods, and the structures of available therapeutic ultrasound systems before moving on to the various applications of ultrasound therapy used in clinics. It includes a variety of extensive clinical trials, outcome photos and illustrating figures, and a critical commentary on the challenges in this field. The author discusses topics that include: The derivation of wave equation The mathematical solution of the wave propagation The phenomena of reflection Refraction and transmission in the acoustic field from different acoustic sources The radiation pattern of the ultrasound transducer The acoustical properties of biological tissues Ultrasound-induced bioeffects Cavitation The design of the ultrasound transducer The characterization method of the produced acoustic field An easy reference offering full coverage of popular ultrasound therapies, Principles and Applications of Therapeutic Ultrasound in Healthcare provides a simple explanation of fundamental acoustics, including wave equation, propagation, nonlinearity, and transducer design. It also discusses other potential applications, and is geared toward academia, industry, and researchers.

"The chapters in this book survey the progress in simulating biomolecular dynamics.... The images conjured up by this work are not yet universally loved, but are beginning to bring new insights into the study of biological structure and function. The future will decide whether this scientific movement can bring forth its Picasso or Modigliani." -from the Foreword by Peter G. Wolynes, Bullard-Welch Foundation Professor of Science, Rice University This book highlights the state-of-art in coarse-grained modeling of biomolecules, covering both fundamentals as well as various cutting edge applications. Coarse-graining of biomolecules is an area of rapid advances, with numerous new force fields having appeared recently and significant progress made in developing a systematic theory of coarse-graining. The contents start with first fundamental principles based on physics, then survey specific state-of-art coarse-grained force fields of proteins and nucleic acids, and provide examples of exciting biological problems that are at large scale, and hence, only amenable to coarse-grained modeling. Introduces coarse-grained models of proteins and nucleic acids. Showcases applications such as genome packaging in nuclei and understanding ribosome dynamics Gives the physical foundations of coarse-graining Demonstrates use of models for large-scale assemblies in modern studies Garegin A. Papoian is the first Monroe Martin Associate Professor with appointments in the Department of Chemistry and Biochemistry and the Institute for Physical Science and Technology at the University of Maryland.

The first annotated edition of the scientific papers that created the foundation of modern neuroscience and physiology The origin of everything known about how neurons and muscles generate electrical signals can be traced back to five revolutionary papers, published in the Journal of Physiology in 1952 by Alan Hodgkin and Andrew Huxley. The principles they revealed remain cornerstones of the discipline, summarized in every introductory neuroscience and physiology course. Since that era, however, scientific practice, technology, and presentation have changed extensively. It is difficult for the modern reader to appreciate Hodgkin and Huxley's rigorous scientific thought, elegant experimental design, ingenious analysis, and beautiful writing. This book provides the first annotated edition of these papers, offering essential background on everything, from terminology, equations, and electronics, to the greater historical and scientific context surrounding the work. The original journal pages are displayed opposite detailed notes explaining content, process, and background, with copies of the figures replotted according to modern conventions. Indispensable for scientists, teachers, and trainees alike, The Annotated Hodgkin and Huxley makes an essential body of knowledge-and an unparalleled approach to research-accessible to a new generation of readers. Reproduces the original articles paired with extensive annotations on facing pages Replots figures with modern conventions of data display Explains the development of the voltage clamp and the discovery of ionic currents and action potential generation, foundational to the study of neuroscience and physiology Summarizes the history of electrophysiology leading to Hodgkin and Huxley's work Includes appendices on relevant concepts from mathematics, physics, electronics, chemical kinetics, and numerical methods

This title includes a number of Open Access chapters. This book covers a wide scope of biological approaches to such biological phenomena as cell division, motility, collective cell behavior, multicellular structures, morphogenesis, and tumor development. Over the past two decades, biologists have generated large sets of experimental data and discovered a lot of facts that need explanation. This biological boom attracts physicists who believe they can help to develop a theoretical framework in biology and explain complete biological phenomena using basic principles. This is the first book to present recent advances in biophysical studies of the different aspects of cell life. This book presents recent advances in biophysical studies of living cells and gives the impression that a combination of quantitative live cell observations, detailed biochemical and biophysical data, and mathematical modeling are capable to answer many important biological questions and to achieve a more complete understanding of such complex phenomena.

Molecular recognition, also known as biorecognition, is the heart of all biological interactions. Originating from protein stretching experiments, dynamic force spectroscopy (DFS) allows for the extraction of detailed information on the unbinding process of biomolecular complexes. It is becoming progressively more important in biochemical studies and is finding wider applications in areas such as biophysics and polymer science. In six chapters, Dynamic Force Spectroscopy and Biomolecular Recognition covers the most recent ideas and advances in the field of DFS applied to biorecognition:

• Chapter 1: Reviews the basic and novel aspects of biorecognition and discusses the emerging capabilities of single-molecule techniques to disclose kinetic properties and molecular mechanisms usually hidden in bulk measurements
• Chapter 2: Describes the basic principle of atomic force microsocopy (AFM) and DFS, with particular attention to instrumental and theoretical aspects more strictly related to the study of biomolecules
• Chapter 3: Overviews the theoretical background in which experimental data taken in nonequilibrum measurements of biomolecular unbinding forces are extrapolated to equilibrium conditions
• Chapter 4: Reviews the most common and efficient strategies adopted in DFS experiments to immobilize the interacting biomolecules to the AFM tip and to the substrate
• Chapter 5: Presents and discusses the most representative aspects related to the analysis of DFS data and the challenges of integrating well-defined criteria to calibrate data in automatic routinary procedures
• Chapter 6 Overviews the most relevant DFS applications to study biorecognition processes, including the biotin/avidin pair, and selected results on various biological complexes, including antigen/antibody, proteins/DNA, and complexes involved in adhesion processes
• Chapter 7 Summarizes the main results obtained by DFS applied to study biorecognition processes with forthcoming theoretical and experimental advances

Although DFS is a widespread, worldwide technique, no books focused on this subject have been available until now. Dynamic Force Spectroscopy and Biomolecular Recognition provides the state of the art of experimental data analysis and theoretical procedures, making it a useful tool for researchers applying DFS to study biorecognition processes.

Experimental microdosimetry deals with the measurement of charged particle energy deposition in tissue equivalent volumes, ranging in size from nanometres to micrometres. Microdosimetry is employed to improve our understanding of the relationship between radiation energy deposition, the resulting biological effects, and the appropriate quantities to be used in characterizing and quantifying radiation quality. Although many reviews and contributions to the field have been published over the past fifty years, this new book is the first to provide a single, up to date, and easily accessible account of experimental microdosimetry. This book is designed to be used in medical, radiation, and health physics courses and by Master’s and PhD students. In addition to serving as an introductory text to the field for graduate students, this book will also be of interest as a teaching and reference resource for graduate supervisors and established researchers. Drs. Lennart Lindborg and Anthony Waker have spent a life-time career in experimental microdosimetry research in academic, industrial and regulatory environments and have observed the development of the field from its early days as a recognized discipline; they bring to this book particular knowledge and experience in the design, construction, operation and use of tissue equivalent gas ionization counters and chambers.

Biomimetic photonics is a burgeoning field. Biologists are finding and describing a whole menagerie of unique and astonishingly complex nano- and microstructures in fauna and flora. Material scientists are developing novel multifunctional and hierarchical structures with a wide variety of post-nano era photonics applications. Mathematicians and computer scientists are using computer models and simulations to understand the underlying principles of biomimetic structures. However, concepts, structures, and phenomena that are well known in one community are quite unknown in others. Exploring a biomimetic approach to developing photonic devices and structures, Biomimetics in Photonics discusses not only the role of and results of biomimicry in engineering, but also the true understanding of natural processes and the application of these techniques to established technologies. Featured Topics Photonic structures in flowers, leaves and fruits and inorganic structures produced in aquatic environment by diatoms, sponges, and shells Mechanisms for biomineralization and how natural structures can be synthetically modified or even used as templates for artificial photonic materials Biological photonic structures in beetles and butterflies and their bio-inspired applications, including anti-reflecting surfaces, iridescent viruses, light reflection, metallic effects, and infrared sensors Suitable for researchers and graduate students, the book does more than describe how to extract good design from nature-Biomimetics in Photonics highlights natural design techniques in context, allowing for a more complete modeling picture. It demonstrates the possibilities and challenges in the move from a laboratory environment to industrial scale production of biomimetic photonic structures.

Although molecular modeling has been around for a while, the groundbreaking advancement of massively parallel supercomputers and novel algorithms for parallelization is shaping this field into an exciting new area. Developments in molecular modeling from experimental and computational techniques have enabled a wide range of biological applications. Responding to this renaissance, Molecular Modeling at the Atomic Scale: Methods and Applications in Quantitative Biology includes discussions of advanced techniques of molecular modeling and the latest research advancements in biomolecular applications from leading experts. The book begins with a brief introduction of major methods and applications, then covers the development of cutting-edge methods/algorithms, new polarizable force fields, and massively parallel computing techniques, followed by descriptions of how these novel techniques can be applied in various research areas in molecular biology. It also examines the self-assembly of biomacromolecules, including protein folding, RNA folding, amyloid peptide aggregation, and membrane lipid bilayer formation. Additional topics highlight biomolecular interactions, including protein interactions with DNA/RNA, membrane, ligands, and nanoparticles. Discussion of emerging topics in biomolecular modeling such as DNA sequencing with solid-state nanopores and biological water under nanoconfinement round out the coverage. This timely summary contains the perspectives of leading experts on this transformation in molecular biology and includes state-of-the-art examples of how molecular modeling approaches are being applied to critical questions in modern quantitative biology. It pulls together the latest research and applications of molecular modeling and real-world expertise that can boost your research and development of applications in this rapidly changing field.

Does eating more carbohydrates, or fats, cause one to put on more weight? Are ketone bodies toxins or vital products that keep us alive during starvation? Does the concept of 'fat-burning exercise' hold true? In this game-changing book, Keith Frayn, an international expert in human metabolism and nutrition, dispels common misconceptions about human metabolism, explaining in everyday language the important metabolic processes that underlie all aspects of our daily lives. Illustrated throughout with clear diagrams of metabolic processes, Frayn describes the communication systems that enable our different organs and tissues to cooperate, for instance in providing fuel to our muscles when we exercise, and in preserving our tissues during fasting. He explores the impressive adaptability of human metabolism and discusses the metabolic disorders that can arise when metabolism 'goes wrong'. For anyone sceptical of information about diet and lifestyle, this concise book guides the reader through what metabolism really involves.

In considering ways that physics has helped advance biology and medicine, what typically comes to mind are the various tools used by researchers and clinicians. We think of the optics put to work in microscopes, endoscopes, and lasers; the advanced diagnostics permitted through magnetic, x-ray, and ultrasound imaging; and even the nanotools, that allow us to tinker with molecules. We build these instruments in accordance with the closest thing to absolute truths we know, the laws of physics, but seldom do we apply those same constants of physics to the study of our own carbon-based beings, such as fluidics applied to the flow of blood, or the laws of motion and energy applied to working muscle. Instead of considering one aspect or the other, Handbook of Physics in Medicine and Biology explores the full gamut of physics' relationship to biology and medicine in more than 40 chapters, written by experts from the lab to the clinic. The book begins with a basic description of specific biological features and delves into the physics of explicit anatomical structures starting with the cell. Later chapters look at the body's senses, organs, and systems, continuing to explain biological functions in the language of physics. The text then details various analytical modalities such as imaging and diagnostic methods. A final section turns to future perspectives related to tissue engineering, including the biophysics of prostheses and regenerative medicine. The editor's approach throughout is to address the major healthcare challenges, including tissue engineering and reproductive medicine, as well as development of artificial organs and prosthetic devices. The contents are organized by organ type and biological function, which is given a clear description in terms of electric, mechanical, thermodynamic, and hydrodynamic properties. In addition to the physical descriptions, each chapter discusses principles of related clinical diagnostic method

Advances in Microbial Physiology serial highlights new advances in the field with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Structural and Morphological Evolution in Metal-Organic Films and Multilayers presents major results of the authors' work carried out on Langmuir monolayers and Langmuir-Blodgett multilayers. The authors address two important questions: Are metal-organic monolayer systems more like solids or more like liquids? Does a two-dimensional system have different kind of bonds than a bulk or three-dimensional body? The book reveals the richness hidden in these supposedly well-known systems, including saturated, aliphatic fatty acids. It examines the mechanisms behind the growth of monolayers and multilayers of the molecules primarily from a physicist's point of view. The authors highlight the relationship between molecular structure and domain structure as well as the various physical properties. The book also explores the interplay between physics and chemistry in metal ions.

A follow-up to the experimental and instrumental aspects described in Basic Principles of Analytical Ultracentrifugation, the volume Sedimentation Velocity Analytical Ultracentrifugation: Discrete Species and Size-Distributions of Macromolecules and Particles describes the theory and practice of data analysis. Mathematical models for the sedimentation process and the evolution of detected signals are developed in a comprehensive framework, jointly with the description of current and historical strategies for how to extract from noisy experimental data the physical parameters of interest, such as size, mass, and shape, composition, and polydispersity of sedimenting particles. The methods are extensively illustrated, and supported with practical applications, as well as cross-references where to find the methods in the public domain software SEDFIT and SEDPHAT. The systems covered are discrete or polydisperse mixtures of sedimenting molecules or particles in dilute solution, such as proteins and other biomolecules and their stable complexes, man-made polymers, and nanoparticles, observed in different optical systems. A useful reference for researchers and graduate students of macromolecular disciplines, these methods form the essential foundation for the analysis of dynamic interacting systems, which are covered in the volume Sedimentation Velocity Analytical Ultracentrifugation: Interacting Systems. Software referenced in the book is available for download at: https://sedfitsedphat.nibib.nih.gov/default.aspx