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Statistics by Prescription
This manual presents the guide-like introduction to statistical techniques particulary oriented on medicine. The exercises present in the book make possible the self-education based on the international program SAS.
From Globular Proteins to Amyloids
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
Protein Folding in Silico
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 o...
Manufacture Engineering, Quality and Production System II
Selected, peer reviewed papers from the 2013 2nd International Conference on Manufacture Engineering, Quality and Production System (ICMEQP 2013), February 27-28, 2013, Hong Kong, China
Abridged Thermodynamic and Thermochemical Tables
The phenomenon of amyloidosis has attracted the attention of numerous researchers for two main reasons: (1) it involves unexpected changes in protein conformation (without chemical intervention) and (2) has practical implications, such as elucidating the mechanisms which drive neurodegenerative diseases carries. In particular, understanding the process of amyloidosis is a fundamental prerequisite in the search for new, effective drugs and therapies targeting the key area of neurodegenerative diseases. The book proposes a model and a mechanism which explain protein misfolding. The concepts presented are based on a model originally intended to show how proteins attain their native conformations. The model is quantitative in nature and founded upon arguments derived from information theory. It facilitates prediction and simulation of the amyloid fibrillation process. It also identifies progressive changes which occur in native proteins, leading to the emergence of amyloid aggregations.
Identification of Ligand Binding Site and Protein-Protein Interaction Area
This volume presents a review of the latest numerical techniques used to identify ligand binding and protein complexation sites. It should be noted that there are many other theoretical studies devoted to predicting the activity of specific proteins and that useful protein data can be found in numerous databases. The aim of advanced computational techniques is to identify the active sites in specific proteins and moreover to suggest a generalized mechanism by which such protein-ligand (or protein-protein) interactions can be effected. Developing such tools is not an easy task – it requires extensive expertise in the area of molecular biology as well as a firm grasp of numerical modeling methods. Thus, it is often viewed as a prime candidate for interdisciplinary research.
Self-Assembled Molecules – New Kind of Protein Ligands
The subject of this book relates to protein ligands with particular structural and complexation properties. They are composed of self-assembled molecules, capable of penetrating as a unit into proteins outside the binding site. The ribbon-like supramolecular system only permits the penetration of self-assembled molecules into the protein-body and formation of stable complexes. Supramolecular Congo red and similar compounds fit these requirements. Destabilized protein fragments enable the penetration of such ligands, with susceptibility to supramolecular ligand binding often associated with protein function. As a result, complexation modifies their functional effects. The activity of enzymes is inhibited by arresting them in the complexed state, but “naturally irreversible” complexation as in the case of immune complexation, is enhanced instead. This property offers many attractive possibilities of using supramolecular ligands as described in this book. This book is an open access under a CC BY license.
Simulations in Medicine
Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.
Self-Assembled Molecules – New Kind of Protein Ligands
The subject of this book relates to protein ligands with particular structural and complexation properties. They are composed of self-assembled molecules, capable of penetrating as a unit into proteins outside the binding site. The ribbon-like supramolecular system only permits the penetration of self-assembled molecules into the protein-body and formation of stable complexes. Supramolecular Congo red and similar compounds fit these requirements. Destabilized protein fragments enable the penetration of such ligands, with susceptibility to supramolecular ligand binding often associated with protein function. As a result, complexation modifies their functional effects. The activity of enzymes is inhibited by arresting them in the complexed state, but “naturally irreversible” complexation as in the case of immune complexation, is enhanced instead. This property offers many attractive possibilities of using supramolecular ligands as described in this book. This book is an open access under a CC BY license.
Simulations in Medicine
Simulations are an integral part of medical education today. Many universities have simulation centers, so-called skills labs, where students and medical personal can practice diagnostics and procedures on life-like mannequins. Others offer simulation courses in the different sub-disciplines. In the pre-clinical phase, simulations are used to illustrate basic principles in physiology, anatomy, genetics, and biochemistry. For example, simulations can show how the metabolism of enzymes changes in the presence of inhibitors, illustrating drug actions. This book covers all areas of simulations in medicine, starting from the molecular level via tissues and organs to the whole body. At the beginni...
