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Structural Genomics, Part A
Structural genomics is the systematic determination of 3-dimensional structures of proteins representative of the range of protein structure and function found in nature. The goal is to build a body of structural information that will predict the structure and potential function for almost any protein from knowledge of its coding sequence. This is essential information for understanding the functioning of the human proteome, the ensemble of tens of thousands of proteins specified by the human genome. While most structural biologists pursue structures of individual proteins or protein groups, specialists in structural genomics pursue structures of proteins on a genome wide scale. This implies large-scale cloning, expression and purification. One main advantage of this approach is economy of scale. - Examines the three dimensional structure of all proteins of a given organism, by experimental methods such as X-ray crystallography and NMR spectroscopy - Looks at structural genomics as a foundation of drug discovery as discovering new medicines is becoming more challenging and the pharmaceutical industry is looking to new technologies to help in this mission
New Chemistry And New Opportunities From The Expanding Protein Universe - Proceedings Of The 23rd International Solvay Conference On Chemistry
A select group of 40 eminent scientists from all parts of the world met to consider the current state of chemical and biological knowledge on the ever-expanding protein universe, and to discuss emerging opportunities for the foreseeable future. Scientific approaches to discover, characterize, and regulate protein functions were discussed over a range of disciplines, including natural product chemistry, microbiology, enzymology, biochemistry, structural biology, chemical biology, and glycobiology. Some notable highlights included discovery of new enzymatic pathways, innovative carbohydrate chemistry, design of proteins containing unnatural amino acids, structural elucidation of complex supramolecular machines, and design and application of small molecule drugs, biologics and biosimilars.This fascinating compendium of scientific presentations and in-depth discussions affords a unique perspective on today's protein chemistry and biology as well as on the challenges for tomorrow.
Cell Biology
An accessible and straightforward intro to cell biology In the newly revised Fourth Edition of Cell Biology: A Short Course, a distinguished team of researchers delivers a concise and accessible introduction to modern cell biology, integrating knowledge from genetics, molecular biology, biochemistry, physiology, and microscopy. The book places a strong emphasis on drawing connections between basic science and medicine. Telling the story of cells as the units of life in a colorful and student-friendly manner, Cell Biology: A Short Course takes an “essentials only” approach. It conveys critical points without overburdening the reader with extraneous or secondary information. Clear diagrams...
Data Clustering
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabi...
Moonlighting Proteins
Moonlighting Proteins: Novel Virulence Factors in Bacterial Infections is a complete examination of the ways in which proteins with more than one unique biological action are able to serve as virulence factors in different bacteria. The book explores the pathogenicity of bacterial moonlighting proteins, demonstrating the plasticity of protein evolution as it relates to protein function and to bacterial communication. Highlighting the latest discoveries in the field, it details the approximately 70 known bacterial proteins with a moonlighting function related to a virulence phenomenon. Chapters describe the ways in which each moonlighting protein can function as such for a variety of bacteria...
Computational Life Sciences II
This book constitutes the refereed proceedings of the Second International Symposium on Computational Life Sciences, CompLife 2006. The 25 revised full papers presented were carefully reviewed and selected from 56 initial submissions. The papers are organized in topical sections on genomics, data mining, molecular simulation, molecular informatics, systems biology, biological networks/metabolism, and computational neuroscience.
Principles of Proteomics
Principles of Proteomics, Second Edition, provides a concise and user-friendly introduction to the diverse technologies used for the large-scale analysis of proteins, as well as their applications, and their impact in areas such as drug discovery, agriculture, and the fight against disease. Proteomics is a fast-advancing field in which researchers seek to capture all the proteins in the cell and characterize them in ever more detail. Principles of Proteomics has been fully updated to reflect the most recent developments in the field without losing its focus on the underlying principles. With worked examples, case studies profiling both established and emerging technologies, and further reading lists for each chapter, Principles of Proteomics is an ideal introduction for students, researchers and those working in the industry.
Protein Structure Prediction : A Practical Approach
The three-dimensional structure of proteins is a key factor in their biological activity. There is an increasing need to be able to predict the structure of a protein once its amino-acid sequence is known; this book presents practical methods of achieving that ambitious aim, using the latest computer modelling algorithms. - ;The prediction of the three-dimensional structure of a protein from its sequence is a problem faced by an ever-increasing number of biological scientists as they strive to utilize genetic information. The increasing sizes of the sequence and structural databases, the improvements in computing power, and the deeper understanding of the principles of protein structure have led to major developments in the field in the last few years. This book presents practical computer-based methods using the latest computer modelling algorithms. -
Research in Computational Molecular Biology
This volume contains the papers presented at the 10th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2006), which was held in Venice, Italy, on April 2–5, 2006
