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The second volume continues to fill the gap in protein review and protocol literature. It does this while summarizing recent achievements in the understanding of the relationships between protein misfoldings, aggregation, and development of protein deposition disorders. The focus of Part B is the molecular basis of differential disorders.
From Globular Proteins to Amyloids proposes a model and mechanism for explaining protein misfolding. Concepts presented are based on a model originally intended to show how proteins attain their native conformations. This model is quantitative in nature and founded upon arguments derived from information theory. It facilitates prediction and simulation of the amyloid fibrillation process, also identifying the progressive changes that occur in native proteins that lead to the emergence of amyloid aggregations. Introduces basic rules for protein folding, along with the conditions that result in misfolding Presents research that lies in treating the aqueous environment as a continuum rather than a set of individual water molecules (i.e. the classic representation) Provides practical applications for helping the prevention of amyloidosis and improving drug design
Neurofibrillary tangles (NFTs) composed of intracellular aggregates of tau protein are a key neuropathological feature of Alzheimer’s Disease (AD) and other neurodegenerative diseases, collectively termed tauopathies. The abundance of NFTs has been reported to correlate positively with the severity of cognitive impairment in AD. However, accumulating evidences derived from studies of experimental models have identified that NFTs themselves may not be neurotoxic. Now, many of tau researchers are seeking a “toxic” form of tau protein. Moreover, it was suggested that a “toxic” tau was capable to seed aggregation of native tau protein and to propagate in a prion-like manner. However, the exact neurotoxic tau species remain unclear. Because mature tangles seem to be non-toxic component, “tau oligomers” as the candidate of “toxic” tau have been investigated for more than one decade. In this topic, we will discuss our consensus of “tau oligomers” because the term of “tau oligomers” [e.g. dimer (disulfide bond-dependent or independent), multimer (more than dimer), granular (definition by EM or AFM) and maybe small filamentous aggregates] has been used by each researchers definition. From a biochemical point of view, tau protein has several unique characteristics such as natively unfolded conformation, thermo-stability, acid-stability, and capability of post-translational modifications. Although tau protein research has been continued for a long time, we are still missing the mechanisms of NFT formation. It is unclear how the conversion is occurred from natively unfolded protein to abnormally mis-folded protein. It remains unknown how tau protein can be formed filaments [e.g. paired helical filament (PHF), straight filament and twisted filament] in cells albeit in vitro studies confirmed tau self-assembly by several inducing factors. Researchers are still debating whether tau oligomerization is primary event rather than tau phosphorylation in the tau pathogenesis. Inhibition of either tau phosphorylation or aggregation has been investigated for the prevention of tauopathies, however, it will make an irrelevant result if we don’t know an exact target of neurotoxicity. It is a time to have a consensus of definition, terminology and methodology for the identification of “tau oligomers”.
This volume explores experimental and computational approaches to measuring the most widely studied protein assemblies, including condensed liquid phases, aggregates, and crystals. The chapters in this book are organized into three parts: Part One looks at the techniques used to measure protein-protein interactions and equilibrium protein phases in dilute and concentrated protein solutions; Part Two describes methods to measure kinetics of aggregation and to characterize the assembled state; and Part Three details several different computational approaches that are currently used to help researchers understand protein self-assembly. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Protein Self-Assembly: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this developing field.
A proven collection of readily reproducible techniques for studying amyloid proteins and their involvement in the etiology, pathogenesis, diagnosis, and therapy of amyloid diseases. The contributors provide methods for the preparation of amyloid and its precursors (oligomers and protofibrils), in vitro assays and analytical techniques for their study, and cell culture models and assays for the production of amyloid proteins. Additional chapters present readily reproducible techniques for amyloid extraction from tissue, its detection in vitro and in vivo, as well as nontransgenic methods for developing amyloid mouse models. The protocols follow the successful Methods in Molecular BiologyTM series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.
This book covers the latest developments in the physical biology of proteins and peptides. Key insights into microscopic and macroscopic approaches to describe biologically relevant macromolecules and their interactions are provided. This book also covers a wide range of tools, including theoretical methods as statistical mechanics, normal mode analysis, kinetic theory and stochastic processes, and all-atom and coarse-grained molecular dynamics simulations. New experimental techniques are also discussed, particularly related to amiloidogenic peptides and their mutations. This is an excellent book for molecular biologists, physicists, computational scientists, and chemists. It covers cutting-edge research in this exciting, interdisciplinary research field. This book also: Discusses the latest developments in the physical biology of proteins, peptides and enzymes covering theoretical, computational, and experimental approaches Broadens readers’ understanding on the r ole of intra- and inter-molecular interactions as a fundamental cornerstone of macroscopic biological properties of macromolecules Provides a wide and useful perspective on different aspects of the physics, biology, and chemistry of proteins and peptides suitable for interdisciplinary research.
An increasingly aging population will add to the number of individuals suffering from amyloid. Protein Misfolding Diseases provides a systematic overview of the current and emerging therapies for these types of protein misfolding diseases, including Alzheimer's, Parkinson's, and Mad Cow. The book emphasizes therapeutics in an amyloid disease context to help students, faculty, scientific researchers, and doctors working with protein misfolding diseases bridge the gap between basic science and pharmaceutical applications to protein misfolding disease.
Protein folding is a process by which a protein structure assumes its functional shape of conformation, and has been the subject of research since the publication of the first software tool for protein structure prediction. Protein folding in silico approaches this issue by introducing an ab initio model that attempts to simulate as far as possible the folding process as it takes place in vivo, and attempts to construct a mechanistic model on the basis of the predictions made. The opening chapters discuss the early stage intermediate and late stage intermediate models, followed by a discussion of structural information that affects the interpretation of the folding process. The second half of the book covers a variety of topics including ligand binding site recognition, the "fuzzy oil drop" model and its use in simulation of the polypeptide chain, and misfolded proteins. The book ends with an overview of a number of other ab initio methods for protein structure predictions and some concluding remarks. Discusses a range of ab initio models for protein structure prediction Introduces a unique model based on experimental observations Describes various methods for the quantitative assessment of the presented models from the viewpoint of information theory