Ying Xu – författare

An ultimate goal of modern biology is to understand how the genetic blueprint of cells(genotype)determinesthestructure,function,andbehaviorofalivingorganism (phenotype). At the center of this scienti?c endeavor is characterizing the bioch- ical and cellular roles of proteins, the working molecules of the machinery of life. A key to understanding of functional proteins is the knowledge of their folded str- tures in a cell, as the structures provide the basis for studying proteins’ functions and functional mechanisms at the molecular level. Researchers working on structure determination have traditionally selected - dividual proteins due to their functional importance in a biological process or pa- way of particular interest. Major research organizations often have their own protein X-ray crystallographic or/and nuclear magnetic resonance facilities for structure - termination, which have been conducted at a rate of a few to dozens of structures a year. Realizing the widening gap between the rates of protein identi?cation (through DNA sequencing and identi?cation of potential genes through bioinformatics an- ysis) and the determination of protein structures, a number of large scienti?c init- tives have been launched in the past few years by government funding agencies in the United States, Europe, and Japan, with the intention to solve protein structures en masse, an effort called structural genomics. A number of structural genomics centers (factory-like facilities) have been established that promise to produce solved protein structures in a similar fashion to DNA sequencing.

Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.

Since the Asian Financial Crisis (AFC) of 1997–98 large current account surpluses have accumulated in the countries of Asia and the Pacific with corresponding deficits elsewhere. The sharp plunge in global trade volumes during the global financial crisis has highlighted the need for ‘rebalancing’–focussing more on domestic sources of economic growth than on exports in some Asian economies. One key objective of the book is to elucidate the economic structures and policies that give rise to current account surpluses and imbalances and consider what policy adjustments could change them. Another objective is to show the link between financial systems, financial integration and the transmission of economic shocks between countries. The book offers new dimensions to understand ‘rebalancing’ and provides alternative and arguably more fundamental solutions to address imbalances. Rather than focusing on exchange rate misalignment, this book begins from the premise that the imbalances are a macroeconomic problem that reflects a mismatch between savings and investment in the surplus countries. Then, it examines exchange rate policies adopted by countries in the region and finds that part of the explanation for their currency strategy lies in their perceived need to build foreign exchange reserves to provide a buffer in case of instabilities. The book examines whether there are other possibilities for countries to insure against economic volatility by more actively and openly engaging with international capital markets. The studies show that closer financial integration, involving more open financial markets, with well-chosen partners, would be welfare-improving and should reduce the need for the counter-productive, self-insurance policies that result in foreign exchange accumulation.

Microbial Functional Genomics offers a timely summary of the principles, approaches, and applications. It presents a comprehensive review of microbial functional genomics, covering microbial diversity, microbial genome sequencing, genomic technologies, genome-wide functional analysis, applied functional genomics, and future directions. An introduction will offer a definition of the field and an overview of the historical and comparative genomics aspects.

Generative artificial intelligence (AI) is becoming an integral part of children's lives, ranging from voice assistants and social robots to AI-generated storybooks. As children increasingly interact with these technologies, it is essential to consider their implications for developmental outcomes. This Element examines these implications across three interconnected domains: interaction, perception, and learning. A recurring theme across these domains is that children's engagement with AI both mirrors and diverges from their engagement with humans, positioning AI as a distinct yet potentially complementary source of experience, enrichment, and knowledge. Ultimately, the Element advances a framework for understanding the complex interplay among technology, children, and the social contexts that shape their development. This title is also available as Open Access on Cambridge Core.

Generative artificial intelligence (AI) is becoming an integral part of children's lives, ranging from voice assistants and social robots to AI-generated storybooks. As children increasingly interact with these technologies, it is essential to consider their implications for developmental outcomes. This Element examines these implications across three interconnected domains: interaction, perception, and learning. A recurring theme across these domains is that children's engagement with AI both mirrors and diverges from their engagement with humans, positioning AI as a distinct yet potentially complementary source of experience, enrichment, and knowledge. Ultimately, the Element advances a framework for understanding the complex interplay among technology, children, and the social contexts that shape their development. This title is also available as Open Access on Cambridge Core.

Since the Asian Financial Crisis (AFC) of 1997–98 large current account surpluses have accumulated in the countries of Asia and the Pacific with corresponding deficits elsewhere. The sharp plunge in global trade volumes during the global financial crisis has highlighted the need for ‘rebalancing’–focussing more on domestic sources of economic growth than on exports in some Asian economies. One key objective of the book is to elucidate the economic structures and policies that give rise to current account surpluses and imbalances and consider what policy adjustments could change them. Another objective is to show the link between financial systems, financial integration and the transmission of economic shocks between countries. The book offers new dimensions to understand ‘rebalancing’ and provides alternative and arguably more fundamental solutions to address imbalances. Rather than focusing on exchange rate misalignment, this book begins from the premise that the imbalances are a macroeconomic problem that reflects a mismatch between savings and investment in the surplus countries. Then, it examines exchange rate policies adopted by countries in the region and finds that part of the explanation for their currency strategy lies in their perceived need to build foreign exchange reserves to provide a buffer in case of instabilities. The book examines whether there are other possibilities for countries to insure against economic volatility by more actively and openly engaging with international capital markets. The studies show that closer financial integration, involving more open financial markets, with well-chosen partners, would be welfare-improving and should reduce the need for the counter-productive, self-insurance policies that result in foreign exchange accumulation.

An ultimate goal of modern biology is to understand how the genetic blueprint of cells(genotype)determinesthestructure,function,andbehaviorofalivingorganism (phenotype). At the center of this scienti?c endeavor is characterizing the bioch- ical and cellular roles of proteins, the working molecules of the machinery of life. A key to understanding of functional proteins is the knowledge of their folded str- tures in a cell, as the structures provide the basis for studying proteins’ functions and functional mechanisms at the molecular level. Researchers working on structure determination have traditionally selected - dividual proteins due to their functional importance in a biological process or pa- way of particular interest. Major research organizations often have their own protein X-ray crystallographic or/and nuclear magnetic resonance facilities for structure - termination, which have been conducted at a rate of a few to dozens of structures a year. Realizing the widening gap between the rates of protein identi?cation (through DNA sequencing and identi?cation of potential genes through bioinformatics an- ysis) and the determination of protein structures, a number of large scienti?c init- tives have been launched in the past few years by government funding agencies in the United States, Europe, and Japan, with the intention to solve protein structures en masse, an effort called structural genomics. A number of structural genomics centers (factory-like facilities) have been established that promise to produce solved protein structures in a similar fashion to DNA sequencing.

Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.

This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.

This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.

This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications.The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.

This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. There are also abstracts from the keynote addresses and invited talks.The papers cover not only theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.

This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. Abstracts from the keynote addresses and invited talks are also included.The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.

Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.