Structural Genomics, Part A

Structural Genomics, Part A

Author: Andrzej Joachimiak

Publisher: Academic Press

Published: 2011-09-02

Total Pages: 170

ISBN-13: 0080922325

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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


Structural Genomics and High Throughput Structural Biology

Structural Genomics and High Throughput Structural Biology

Author: Michael Sundstrom

Publisher: CRC Press

Published: 2005-08-23

Total Pages: 304

ISBN-13: 0849361435

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Researchers in structural genomics continue to search for biochemical and cellular functions of proteins as well as the ways in which proteins assemble into functional pathways and networks using either experimental or computational approaches. Based on the experience of leading international experts, Structural Genomics and High Throughput Stru


Structural Genomics on Membrane Proteins

Structural Genomics on Membrane Proteins

Author: Kenneth H. Lundstrom

Publisher: CRC Press

Published: 2006-02-23

Total Pages: 400

ISBN-13: 9781574445268

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While the genomic revolution has quickly led to the deposit of more than 30,000 structures in the protein data bank (PDB), less than one percent of those contributions represent membrane proteins despite the fact that membrane proteins constitute some 20 percent of all proteins. This discrepancy becomes significantly troublesome when it is coupled with the fact that 60 percent of current drugs are based on targeting this group of proteins, a trend that does not seem likely to reverse. Structural Genomics on Membrane Proteins provides an excellent overview on novel research in bioinformatics and modeling on membranes, as well as the latest technological developments being employed in expression, purification, and crystallography to obtain high-resolution structures on membrane proteins. This cutting-edge work also explains the difficulties facing researchers—both technical and ethical—that have slowed the process. Structural Genomics on Membrane Proteins provides researchers with an unprecedented look at the novel technologies that will ultimately allow them to conquer the last frontier in structural biology, leading to accelerated breakthroughs in drug discovery.


Structural Proteomics and Its Impact on the Life Sciences

Structural Proteomics and Its Impact on the Life Sciences

Author: Joel Sussman

Publisher: World Scientific

Published: 2008

Total Pages: 597

ISBN-13: 9812772057

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The role played by structural proteomics in the first decade of the 21st century is equivalent to that played by the Human Genome Project in the last decade of the 20th century. The development of high-throughput technologies that permit the solution of hundreds of 3D structures of individual proteins, proteinOCoprotein complexes and proteinOCodrug complexes, just by one laboratory in a single year, will provide a knowledge base which will change the face of structural biology. This will have an immediate influence on medicinal chemistry and molecular pharmacology, as well as an increasing impact on such disciplines as neurobiology, developmental biology, immunology and molecular medicine.This book presents a state-of-the-art overview of the structural proteomics field, ranging from policy issues related to funding and goals, through the high-throughput procedures for protein production, to the solution of the structures of proteins and higher-order entities, via a multidisciplinary approach involving molecular biology, X-ray crystallography, NMR and electron microscopy, as well as bioinformatics analysis. This is the first book to provide such a comprehensive coverage of a rapidly evolving field.


Structural Genomics, Part C

Structural Genomics, Part C

Author:

Publisher: Academic Press

Published: 2009-11-26

Total Pages: 105

ISBN-13: 0123814448

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Structural genomics is the systematic determination of 3-D 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


Structural Genomics, Part B

Structural Genomics, Part B

Author: Andrzej Joachimiak

Publisher: Academic Press

Published: 2009-11-26

Total Pages: 117

ISBN-13: 0080922384

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Structural genomics is the systematic determination of 3-D 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


Structural Genomics

Structural Genomics

Author: Yu Wai Chen

Publisher: Humana

Published: 2013-11-09

Total Pages: 0

ISBN-13: 9781627036900

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The field of Structural Genomics has produced many technological advances that transform and accelerate structure solution and analysis. Structural Genomics: General Applications emphasizes the benefits to the wider structural research community. It also reflects the current trend in tackling the more ambitious challenges of studying macromolecular machineries and complexes. Divided into three convenient sections, topics include the cloning and production of proteins for structural studies, experimental methods, and computational methods and data analysis. Written in the 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 protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Structural Genomics: General Applications aims primarily to channel spin-off technologies to the average structural biologist in a small or medium-sized laboratory.


Structural Bioinformatics

Structural Bioinformatics

Author: Jenny Gu

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 1105

ISBN-13: 1118210565

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Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." —BAMBED "...a useful and timely summary of a rapidly expanding field." —Nature Structural Biology "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." —Briefings in Bioinformatics


Fundamentals of Molecular Structural Biology

Fundamentals of Molecular Structural Biology

Author: Subrata Pal

Publisher: Academic Press

Published: 2019-08-15

Total Pages: 518

ISBN-13: 0128148551

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Fundamentals of Molecular Structural Biology reviews the mathematical and physical foundations of molecular structural biology. Based on these fundamental concepts, it then describes molecular structure and explains basic genetic mechanisms. Given the increasingly interdisciplinary nature of research, early career researchers and those shifting into an adjacent field often require a "fundamentals" book to get them up-to-speed on the foundations of a particular field. This book fills that niche.


Computational Genomics with R

Computational Genomics with R

Author: Altuna Akalin

Publisher: CRC Press

Published: 2020-12-16

Total Pages: 463

ISBN-13: 1498781861

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Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.