Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on biomolecules. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area. A must-have for all researchers working on this very hot topic. Perfectly complements Molecular and Supramolecular Information Processing, also by Prof. Katz, and available as a two-volume set.

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network–type assemblies. It explains the relationship between these two apparently unrelated fields, revealing how biochemical systems have the advantage of using the "language" of the physiological processes and, therefore, can be organized into the neural network–type assemblies, much in the way that natural biosystems are. A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved. This authoritative reference: Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain Describes novel scientific achievements, and serves as an aid for those interested in further developing biochemical systems that will perform information-processing functions Provides a viable approach for furthering progress in the area of molecular electronics and biocomputing Includes results obtained in experimental studies involving a variety of real enzyme systems Information Processing by Biochemical Systems is intended for graduate students and professionals, as well as biotechnologists.

Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on non-biological systems. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area. A must-have for all researchers working on this very hot topic. Perfectly complements Biomolecular Information Processing, also by Prof. Katz, and available as a two-volume set.

Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels.This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with “artificial” processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing.Since “artificial” processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.

The properties of materials depend on the nature of the macromolecules, small molecules and inorganic components and the interfaces and interactions between them. Polymer chemistry and physics, and inorganic phase structure and density are major factors that influence the performance of materials. In addition, molecular recognition, organic-inorganic interfaces and many other types of interactions among components are key issues in determining the properties of materials for a wide range of applications. Materials require ments are becoming more and more specialized to meet increasingly demand ing needs, from specific environmental stresses to high performance or biomedical applications such as matrices for controlled release tissue scaf folds. One approach to meet these performance criteria is to achieve better control over the tailoring of the components and their interactions that govern the material properties. This goal is driving a great deal of ongoing research in material science laboratories. In addition, control at the molecular level of interactions between these components is a key in many instances in order to reach this goal since traditional approaches used to glue, stitch or fasten parts together can no longer suffice at these new levels of manipulation to achieve higher performance. In many cases, molecular recognition and self-assembly must begin to drive these processes to achieve the levels of control desired. This same need for improved performance has driven Nature over millenia to attain higher and higher complexity.

As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence. Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

This book presents emerging contemporary optical techniques of ultrafast science which have opened entirely new vistas for probing biological entities and processes. The spectrum reaches from time-resolved imaging and multiphoton microscopy to cancer therapy and studies of DNA damage. The book displays interdisciplinary research at the interface of physics and biology. Emerging topics on the horizon are also discussed, like the use of squeezed light, frequency combs and terahertz imaging as the possibility of mimicking biological systems. The book is written in a manner to make it readily accessible to researchers, postgraduate biologists, chemists, engineers, and physicists and students of optics, biomedical optics, photonics and biotechnology.

This systematic and comprehensive overview of enzyme-based biocomputing is an excellent resource for scientists and engineers working on the design, study and applications of enzyme-logic systems.

A guide to the biological control over electronic systems that lead the way to wearable electronics and improved drug delivery In recent years, this area of electrochemical systems has developed rapidly and achieved significant progress. Signal-Switchable Electrochemical Systems offers an overview to the wide-variety of switchable electrochemical systems and modified electrodes. The author?a noted researcher and expert on the topic?summarizes research efforts of many groups in a range of universities and countries. The book explores various types of external signals that are able to modify electrode interfaces, for example electrical potential, magnetic field, light, as well as chemical and biochemical inputs. Multifunctional properties of the modified interfaces allow their responses to complex combinations of external signals. These are integrated with unconventional biomolecular computing systems logically processing multiple biochemical signals. This approach allows the biological control over electronic systems. The text explores the applications in different areas, including unconventional computing, biofuel cells and signal-triggered molecular release in electrochemical systems. This important guide: -Provides an overview to the biological control over electronic systems and examines the key applications in biomedicine, electrochemical energy conversion and signal-processing -Offers an important text written by a highly cited researcher and pioneer in the field -Contains a summary of research efforts of an international panel of scholars representing various universities and countries -Presents a groundbreaking book that provides an introduction to this interdisciplinary field Written for scientists working with electrochemical systems and applications with signal-responsive materials, Signal-Switchable Electrochemical Systems presents an overview of the multidisciplinary field of adaptable signal-controlled electrochemical systems and processes and highlights their key aspects and future perspectives.