Download or read book Data Analytics for Protein Crystallization written by Marc L. Pusey and published by Springer. This book was released on 2017-11-27 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference presents an overview of the computational aspects of protein crystallization, describing how to build robotic high-throughput and crystallization analysis systems. The coverage encompasses the complete data analysis cycle, including the set-up of screens by analyzing prior crystallization trials, the classification of crystallization trial images by effective feature extraction, the analysis of crystal growth in time series images, the segmentation of crystal regions in images, the application of focal stacking methods for crystallization images, and the visualization of trials. Topics and features: describes the fundamentals of protein crystallization, and the scoring and categorization of crystallization image trials; introduces a selection of computational methods for protein crystallization screening, and the hardware and software architecture for a basic high-throughput system; presents an overview of the image features used in protein crystallization classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and different thresholding methods for binarization or segmentation; discusses visualization methods and software for protein crystallization analysis, and reviews alternative methods to X-ray diffraction for obtaining structural information; provides an overview of the current challenges and potential future trends in protein crystallization. This interdisciplinary work serves as an essential reference on the computational and data analytics components of protein crystallization for the structural biology community, in addition to computer scientists wishing to enter the field of protein crystallization.
Download or read book Protein Crystallization Strategies for Structural Genomics written by Naomi E. Chayen and published by Internat'l University Line. This book was released on 2007 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Protein Crystallization written by Terese M. Bergfors and published by Internat'l University Line. This book was released on 2009 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Preparation and Analysis of Protein Crystals written by Alexander McPherson and published by John Wiley & Sons. This book was released on 1982-05-04 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to techniques and procedures for the preparation of proteins for crystallographic studies. Describes methods for protein crystallization; formation of isomorphous heavy atoms; x-ray diffraction and analysis; and photographic and computerbased data collection methods and instrumentation.
Download or read book Protein Crystallography written by Gwyndaf Evans and published by Royal Society of Chemistry. This book was released on 2018-06-21 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein crystallography has become vital to further understanding the structure and function of many complex biological systems. In recent years, structure determination has progressed tremendously however the quality of crystals and data sets can prevent the best results from being obtained. With contributions from world leading researchers whose software are used worldwide, this book provides a coherent approach on how to handle difficult crystallographic data and how to assess its quality. The chapters will cover all key aspects of protein crystallography, from instrumentation and data processing through to model building. This book also addresses challenges that protein crystallographers will face such as dealing with data from microcrystals and multi protein complexes. This book is ideal for both academics and researchers in industry looking for a comprehensive guide to protein crystallography.
Download or read book Preparation and Analysis of Protein Crystals written by Alexander McPherson and published by . This book was released on 1989 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Next Generation in Membrane Protein Structure Determination written by Isabel Moraes and published by Springer. This book was released on 2016-08-23 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews current techniques used in membrane protein structural biology, with a strong focus on practical issues. The study of membrane protein structures not only provides a basic understanding of life at the molecular level but also helps in the rational and targeted design of new drugs with reduced side effects. Today, about 60% of the commercially available drugs target membrane proteins and it is estimated that nearly 30% of proteins encoded in the human genome are membrane proteins. In recent years much effort has been put towards innovative developments to overcome the numerous obstacles associated with the structure determination of membrane proteins. This book reviews a variety of recent techniques that are essential to any modern researcher in the field of membrane protein structural biology. The topics that are discussed are not commonly found in textbooks. The scope of this book includes: Expression screening using fluorescent proteins The use of detergents in membrane protein research The use of NMR Synchrotron developments in membrane protein structural biology Visualisation and X-ray data collection of microcrystals X-ray diffraction data analysis from multiple crystals Serial millisecond crystallography Serial femtosecond crystallography Membrane protein structures in drug discovery The information provided in this book should be of interest to anyone working in the area of structural biology. Students will find carefully prepared overviews of basic ideas and advanced protein scientists will find the level of detail required to apply the material directly to their day to day work. Chapters 4, 5, 6, 8 and 9 of this book are published open access under a CC BY 4.0 license at link.springer.com.
Download or read book Supercomputing Frontiers written by David Abramson and published by Springer. This book was released on 2019-06-07 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 5th Asian Supercomputing Conference, SCFA 2019, held in Singapore in March 2019. The 6 full papers presented in this book were carefully reviewed and selected from 33 submissions. They cover a range of topics including memory fault handling, linear algebra, image processing, heterogeneous computing, resource usage prediction, and data caching.
Download or read book Membrane Protein Crystallization written by and published by Academic Press. This book was released on 2009-05-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Current Topics in Membranes focuses on Membrane Protein Crystallization, beginning with a review of past successes and general trends, then further discussing challenges of mebranes protein crystallization, cell free production of membrane proteins and novel lipids for membrane protein crystallization. This publication also includes tools to enchance membrane protein crystallization, technique advancements, and crystallization strategies used for photosystem I and its complexes, establishing Membrane Protein Crystallization as a needed, practical reference for researchers.
Download or read book Scalable Big Data Analytics for Protein Bioinformatics written by Dariusz Mrozek and published by Springer. This book was released on 2018-09-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes. The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures. The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases.
Download or read book Applying Big Data Analytics in Bioinformatics and Medicine written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2017-06-16 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.
Download or read book Practical Protein Crystallography written by Duncan E. McRee and published by Academic Press. This book was released on 2012-12-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for easy use by both new and experienced protein crystallographers, this much-needed book is for anyone interested in solving protein structures by the method of crystallography. It contains many examples ofactual experiments and data, including electron density maps. Computer methods and computer code samples are presented. Practical Protein Crystallography is loaded with new information on area detectors, synchrotron radiation techniques, and the latest computer methods, and features the XtalView software system. Graduate students and teachers in physical biochemistry and pharmaceutical researchers will find this text a timely and convenient aid.
Download or read book Knowledge Discovery in Proteomics written by Igor Jurisica and published by CRC Press. This book was released on 2005-09-02 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where
Download or read book Predictive Analytics for Toxicology written by Luis G. Valerio, Jr. and published by CRC Press. This book was released on 2024-08-13 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive data science is already in use in many fields, but its application in toxicology is new and sought after by non-animal alternative testing initiatives. Predictive Analytics for Toxicology: Applications in Discovery Science provides a comprehensive overview of the application of predictive analytics in the field of toxicology, highlighting its role and applications in discovery science. This book addresses the challenges of accurately predicting high-level endpoints of toxicity and explores the use of computational and artificial intelligence research to automate predictive toxicology. It underscores the importance of predictive toxicology in proposing and explaining adverse outcomes resulting from human exposures to specific toxicants, especially when experimental and observational data on the toxicant are incomplete or unavailable. Key features: Includes a plain language description of predictive analytics in toxicology adding an overview of the wide range of applications Examines the science of prediction, computational models as an automated science and comprehensive discussions on concepts of machine learning Opens the hood on AI and its applications in toxicology Features coverage on how in silico toxicity predictions are translational science tools The book integrates strategies and practices of predictive toxicology and offers practical information that students and professionals of the toxicology, chemical, and pharmaceutical industries will find essential. It fulfills the expectations of student researchers seeking to learn predictive analytics in toxicology. This book will energize scientists to conduct predictive toxicology modeling using artificial intelligence and machine learning, and inspire students and seasoned scientists interested in automated science to pick up new research using predictive in silico models to evaluate chemical-induced toxicity. With its focus on practical applications and real-world examples, this book serves as a guide for navigating the complex issues and practices of discovery toxicology. It is an essential resource for those interested in computer-based methods in toxicology, providing valuable insights into the use of predictive analytics.
Download or read book Therapeutic Protein Targets For Drug Discovery And Clinical Evaluation Bio crystallography And Drug Design written by D Velmurugan and published by World Scientific. This book was released on 2022-10-04 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reviews the recent research advances and their outcomes in the areas of structural biology, bioinformatics, phytochemistry and drug discovery. Chapters in the book cover multidisciplinary research to understand the molecular mechanisms involved in protein-protein/ligand interactions. It employs an integrative approach to identify the therapeutic targets for HIV, and cancer, pathogen and viral infection pathways and the identification of their potential drug candidates. The book also provides examples of computational molecular dynamics simulations to understand the conformational changes in the molecules. Some chapters are focused on exploring potent bioactive compounds from natural sources.This book can serve as a single source that covers several interdisciplinary research fields which will be beneficial to Researchers and students in postgraduate studies.
Download or read book Nonlinear Estimation and Classification written by David D. Denison and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.
Download or read book Crystals X rays and Proteins written by Dennis Sherwood and published by OUP Oxford. This book was released on 2010-11-05 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete account of the theory of the diffraction of X-rays by crystals, with particular reference to the processes of determining the structures of protein molecules. This book is aimed primarily at structural biologists and biochemists but will also be valuable to those entering the field with a background in physical sciences or chemistry. It may be used at any post-school level, and develops from first principles all relevant mathematics, diffraction and wave theory, assuming no mathematical knowledge beyond integral calculus. The book covers a host of important topics in the area, including: - The practical aspects of sample preparation and X-ray data collection, using both laboratory and synchrotron sources - Data analysis at both theoretical and practical levels - The important role played by the Patterson function in structure analysis, by both molecular replacement and experimental phasing approaches - Methods for improving the resulting electron density map - The theoretical basis of methods used in refinement of protein crystal structures - In-depth explanation of the crucial task of defining the binding sites of ligands and drug molecules - The complementary roles of other diffraction methods: these reveal further detail of great functional importance in a crystal structure.
