This book reviews the current knowledge of the globally circulating SARS-CoV-2 variants, highlights their distinct genetic characteristics and associated conformational changes in the viral spike protein, and profoundly discusses the mechanisms of convergent evolution that led to the rise of these mutated strains at different geographic regions during the Covid-19 pandemic. Furthermore, the book explores how these variants do and may impact the efficacy of established neutralizing antibody-based (nAb) vaccines and therapeutics by analysing latest in vivo and in vitro clinical data. Finally, the author discusses ways on how nAb Covid-19 treatment derived immune escape of SARS-CoV-2 could be minimized in the future.

Over the last ten years, much effort has been devoted to improving the biophysical techniques used in the study of viruses. This has resulted in the visualization of these large macromolecular assemblages at atomic level, thus providing the platform for functional interpretation and therapeutic design. Structural Virology covers a wide range of topics and is split into three sections. The first discusses the vast biophysical methodologies used in structural virology, including sample production and purification, confocal microscopy, mass spectrometry, negative-stain and cryo-electron microscopy, X-ray crystallography and nuclear magnetic resonance spectroscopy. The second discusses the role of virus capsid protein structures in determining the functional roles required for receptor recognition, cellular entry, capsid assembly, genome packaging and mechanisms of host immune system evasion. The last section discusses therapeutic strategies based on virus protein structures, including the design of antiviral drugs and the development of viral capsids as vehicles for foreign gene delivery. Each topic covered will begin with a review of the current literature followed by a more detailed discussion of experimental procedures, a step in the viral life cycle, or strategies for therapeutic development. With contributions from experts in the field of structural biology and virology this exceptional monograph will appeal to biomedical scientists involved in basic and /or applied research on viruses. It also provides up-to-date reference material for students entering the field of structural virology as well as scientists already familiar with the area.

Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features: * Model construction, analysis and interpretation receive detailed attention * Uniquely covers both deterministic and stochastic viewpoints * Examples of applications given throughout * Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases * Provides a solid foundation of modelling skills The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self-study and ideally suited for small discussion groups, or for use as a course text.

This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization. End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.

Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)-a challenging and innovative European-funded project-introduce novel computing p

The FactsBook series has established itself as the best source of easily accessible and accurate facts about protein groups. Books in the series use an easy-to-follow format and are meticulously researched and compiled by experts in the field.The Immunoglobulin FactsBook is the first published reference for all 203 human functional and ORF immunoglobulin genes. It is complete and standardized and employs nomenclature approved by the HUGO Nomenclature Committee.