Integrating Timescales From Molecules Up

Untangling Molecular Biodiversity presents a unique global framework to explain molecular and organismal biodiversity that is grounded in evolutionary genomics. This book will tackle important questions such as the origin of life, the emergence of biochemistry, the origin of viruses, the nature of the last universal common ancestor responsible for diversified life, the role of information and thermodynamics in evolution, the reason for having three cellular domains in life, and the centrality of modules in biology.This book will explore six themes: (1) Explanatory frameworks for biological organization; (2) Evolutionary patterns and biodiversity; (3) Molecular structure and evolutionary genomics; (4) A framework of persistence strategies that borrows from engineering and systems biology; (5) Use of this framework to explain diversity in the molecular world; and (6) Exploring the origin and evolution of cells and viruses.Consequently, this book represents a very unique collection of ideas that can attract the attention of a broad readership interested in life sciences/biology.

In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views.This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery.Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach.

This book provides a unique and comprehensive overview of state-of-the-art understanding of the molecular and nano-scale processes that play significant roles in ion-beam cancer therapy. It covers experimental design and methodology, and reviews the theoretical understanding of the processes involved. It offers the reader an opportunity to learn from a coherent approach about the physics, chemistry and biology relevant to ion-beam cancer therapy, a growing field of important medical application worldwide. The book describes phenomena occurring on different time and energy scales relevant to the radiation damage of biological targets and ion-beam cancer therapy from the molecular (nano) scale up to the macroscopic level. It illustrates how ion-beam therapy offers the possibility of excellent dose localization for treatment of malignant tumours, minimizing radiation damage in normal tissue whilst maximizing cell-killing within the tumour, offering a significant development in cancer therapy. The full potential of such therapy can only be realized by better understanding the physical, chemical and biological mechanisms, on a range of time and space scales that lead to cell death under ion irradiation. This book describes how, using a multiscale approach, experimental and theoretical expertise available can lead to greater insight at the nanoscopic and molecular level into radiation damage of biological targets induced by ion impact. The book is intended for advanced students and specialists in the areas of physics, chemistry, biology and medicine related to ion-beam therapy, radiation protection, biophysics, radiation nanophysics and chemistry, atomic and molecular physics, condensed matter physics, and the physics of interaction of charged particles with matter. One of the most important features of the book is the inclusive multiscale approach to the understanding of complex and highly interdisciplinary processes behind ion-beam cancer therapy, which stretches from the atomistic level up to the biological scale and is demonstrated to be in excellent agreement with experimental observations.

A guide to computational nanomechanics, essential for those new to the subject and a useful reference for graduates and researchers.

Molecular dynamics is a well-established technique for simulating complex many-particle systems in many areas of physics, chemistry, and astrophysics. The huge computational requirements for simulations of large systems, especially with long-range forces, demand the use of massively parallel computers. Designing efficient algorithms for these problems is a highly non-trivial task. This book contains the invited talks and abstracts presented at a conference by more than 100 researchers from various fields: computer science, solid state physics, high energy physics, polymers, biochemistry, granular materials and astrophysics. Most of the contributions have been written by users of massively parallel computers and deal with practical issues, but there are also contributions tackling more fundamental algorithmic problems. Contents:Algorithms and ProgramsPolymersBiochemistrySolid State PhysicsGranular MaterialsAstrophysicsLattice Gauge Theory Readership: Scientists requiring high-speed computations and computer scientists working on parallel algorithms. Keywords:Fundamental Algorithmic Problems;Algorithms;Polymers;Granular Materials;Lattice Gauge Theory

Introduction To Telecommunications Principles 2. Network Planning And Design 3. Public Telephone Network Principles 4. Routing 5. Signalling 6. Switching 7. Coomunications Satellite 8. Mobile Network 9. Traffic Analysis 10. Nanotechnology Bibliography

Self-assembling biomaterials: molecular design, characterization and application in biology and medicine provides a comprehensive coverage on an emerging area of biomaterials science, spanning from conceptual designs to advanced characterization tools and applications of self-assembling biomaterials, and compiling the recent developments in the field. Molecular self-assembly, the autonomous organization of molecules, is ubiquitous in living organisms and intrinsic to biological structures and function. Not surprisingly, the exciting field of engineering artificial self-assembling biomaterials often finds inspiration in Biology. More important, materials that self-assemble speak the language of life and can be designed to seamlessly integrate with the biological environment, offering unique engineering opportunities in bionanotechnology. The book is divided in five parts, comprising design of molecular building blocks for self-assembly; exclusive features of self-assembling biomaterials; specific methods and techniques to predict, investigate and characterize self-assembly and formed assemblies; different approaches for controlling self-assembly across multiple length scales and the nano/micro/macroscopic properties of biomaterials; diverse range of applications in biomedicine, including drug delivery, theranostics, cell culture and tissue regeneration. Written by researchers working in self-assembling biomaterials, it addresses a specific need within the Biomaterials scientific community. Explores both theoretical and practical aspects of self-assembly in biomaterials Includes a dedicated section on characterization techniques, specific for self-assembling biomaterials Examines the use of dynamic self-assembling biomaterials