In the late 1980s, Peptide Societies were established in Europe, the United States, and Japan, and more recently, in the Asian and the Pacific Rim regions including Australia, China, and Korea. At the time of the establishment of the American, European and Japanese Peptide Societies, the International Liaison Organizing Committee representing these Peptide Societies, along with the Australian Peptide Society, began discussions for holding international confer ences which would supercede or be held in lieu of the numerous individual meetings, held by the peptide societies of each individual country or region. The representative of the Chinese Peptide Society participated in these discus sion in the International Liaison Organizing Committee at the meeting of the American Peptide Symposium in Nashville, in June 1997. After lengthy discus sions over several years, we agreed to organize and host the International Peptide Symposium in Japan. The First International Peptide Symposium (IPS'97) was held on November 30-December 5, 1997, in Kyoto, and was co sponsored by four Peptide Societies. The attendance at this Symposium was 550 participants, including representatives from 32 different countries. We were very pleased with this outcome and anticipate an even larger attendance for forthcoming Symposia in future years. The revolution and advances in science and technology during the past two decades has caused traditional peptide chemistry to expand to peptide science, spreading from physical science to biology, pharmacology, and medicine.

Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.

Proteomics is a multifaceted, interdisciplinary field which studies the complexity and dynamics of proteins in biological systems. It combines powerful separation and analytical technology with advanced informatics to understand the function of proteins in the cell and in the body. This book provides a clear conceptual description of each facet of proteomics, describes recent advances in technology and thinking in each area, and provides details of how these have been applied to a variety of biological problems. It is written by expert practitioners in the field, from industry, research institutions, and the clinic. It provides junior and experienced researchers with an invaluable proteomic reference, and gives fascinating glimpses of the future of this dynamic field.

The American Peptide Society (APS) provides a forum for advancing and promoting knowledge of the chemistry and biology of peptides. The approximately one thousand members of the Society come from North America and from more than thirty other countries throughout the world. Establishment of the APS was a result of the rapid worldwide growth that has occurred in peptide-related research, and of the increasing interaction of peptide scientists with virtually all fields of science. Peptides for Youth: The Proceedings of the the 20th American Peptide Symposium will highlight many of the recent developments in peptide science, with a particular emphasis on how these advances are being applied to basic problems in biology and medicine. The 20th American Peptide Symposium will take place June 26 - 30, 2007 in Montreal, Canada.

Membrane Proteins - Production and Function Characterization a volume of Methods in Enzymology, encompasses chapters from the leading experts in the area of membrane protein biology. The chapters provide a brief overview of the topics covered and also outline step-by-step protocol. Illustrations and case example images are included wherever appropriate to help the readers understand the schematics and general experimental outlines.

Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics. This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research. This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research. Readership: This is a precious book for all types of readers - cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research.

The Fifteen American Peptide Symposium (15APS) was held in Nashville, Tennessee, on June 14-19, 1997. This biennial meeting was jointly sponsored by the American Peptide Society and Vanderbilt University. The attendance of 1,081 participants from 37 countries was lower than the two previously held Symposia. However, the number of participating countries was the largest. Thus, it was gratifying to see that this meeting retained both its international flavor and participant loyalty at a time when there are many more symposia held each year on similar subjects. The scientific program, thanks to the insights and efforts of the Program Committee as well as Dr. Peter Schiller, the President of the American Peptide Society, was extraordinarily rich, diverse, and exciting. It was comprised of 124 oral and 550 poster presentations. Three prominent format changes were installed. First, the Symposium started on Saturday instead of Sunday. Second, the program opened on Saturday afternoon with a Mini-symposium by the Young Investigators to give them an early start and attention. Finally, 40 short and definitive reports were given in two parallel sessions. The expanded format permitted an unprecedented number of lectures and enabled wider participation by the attending delegates.

The last 15 years in development of biology were marked with accumulation of unprecedentedly huge arrays of experimental data. The information was amassed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics methods giving the possibility to analyze protein compositions of cells, tissues, and organs, assess the dynamics of the cell proteome, and reconstruct the networks of protein-protein interactions; and of metabolomics, in particular, high resolution mass spectrometry study of cell metabolites, and distribution of metabolic fluxes in the cells with a concurrent investigation of the dynamics of thousands metabolites in an individual cell. Analysis, comprehension, and use of the tremendous volumes of experimental data reflecting the intricate processes underlying the functioning of molecular genetic systems are unfeasible in principle without the systems approach and involvement of the state-of-the-art information and computer technologies and efficient mathematical methods for data analysis and simulation of biological systems and processes. The need in solving these problems initiated the birth of a new science- postgenomic bioinformatics or systems biology in silico.

Gabriel Waksman Institute of Structural Molecular Biology, Birkbeck and University College London, Malet Street, London WC1E 7HX, United Kingdom Address for correspondence: Professor Gabriel Waksman Institute of Structural Molecular Biology Birkbeck and University College London Malet Street London WC1E 7H United Kingdom Email: g. waksman@bbk. ac. uk and g. waksman@ucl. ac. uk Phone: (+44) (0) 207 631 6833 Fax: (+44) (0) 207 631 6833 URL: http://people. cryst. bbk. ac. uk/?ubcg54a Gabriel Waksman is Professor of Structural Molecular Biology at the Institute of Structural Molecular Biology at UCL/Birkbeck, of which he is also the director. Before joining the faculty of UCL and Birkbeck, he was the Roy and Diana Vagelos Professor of Biochemistry and Molecular Biophysics at the Washington University School of Medicine in St Louis (USA). The rapidly evolving ?eld of protein science has now come to realize the ubiquity and importance of protein-protein interactions. It had been known for some time that proteins may interact with each other to form functional complexes, but it was thought to be the property of only a handful of key proteins. However, with the advent of hi- throughput proteomics to monitor protein-protein interactions at an organism level, we can now safely state that protein-protein interactions are the norm and not the exception.

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

In multicellular organisms, communication between cells involves secretion of proteins that bind to receptors on neighboring cells. While this has been well documented, another mode of intercellular communication has recently become the subject of increasing interest: the release of exosomes. In cancer, tumor exosomes are involved in various aspects of pathogenesis, including proliferation, immunosuppression, and metastasis. Given the ability of exosomes to export unneeded endogenous molecules from cells, these structures hold great potential as anticancer therapeutic agents. They are also being studied as prognostic markers for cancer.

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.

This book summarizes present knowledge of different mechanisms involved in the development of positive and negative consequences of cardiac adaptation. Particular attention is paid to the still underestimated adaptive cardiac responses during development, to adaptation to the frequently occurring pressure and volume overload as well as to cardiac changes, induced by enduring exercise and chronic hypoxia. Cardiac Adaptations will be of great value to cardiovascular investigators, who will find this book highly useful in their cardiovascular studies for finding solutions in diverse pathological conditions; it will also appeal to students, fellows, scientists, and clinicians interested in cardiovascular abnormalities.

The entire range of the developmental processes in plants is regulated by a shift in the hormonal concentration, tissue sensitivity and their interaction with the factors operating around them. Out of the recognized hormones, attention has largely been focused on five - Auxins, Gibberellins, Cytokinin, Abscisic acid and Ethylene. However, the information about the most recent group of phytohormone (Brassinosteroids) has been incorporated in this book. This volume includes a selection of newly written, integrated, illustrated reviews describing our knowledge of Brassinosteroids and aims to describe them at the present time. Various chapters incorporate both theoretical and practical aspects and may serve as baseline information for future researches through which significant developments are possible. This book will be useful to the students, teachers and researchers, both in universities and research institutes, especially in relation to biological and agricultural sciences.

This book offers a balanced mixture of practice-oriented information and theoretical background as well as numerous references, clear illustrations, and useful data tables. Problems and solutions are accessible via a special website. This new edition has been completely revised and extended; it now includes three new chapters on tandem mass spectrometry, interfaces for sampling at atmospheric pressure, and inorganic mass spectrometry.

Since its ?rst description in 1942 in both serum and cerebrospinal ?uid, transthyretin (TTR) has had an eventful history, including changes in name from "prealbumin" to "thyroxine-binding prealbumin" to "transthyretin" as knowledge increased about its functions. TTR is synthesised in a wide range of tissues in humans and other eutherian mammals: the liver, choroid plexus (blood- cerebrospinal ?uid barrier), retinal pigment epithelium of the eye, pancreas, intestine and meninges. However, its sites of synthesis are more restricted in other vertebrates. This implies that the number of tissues synthesising TTR during vertebrate evolution has increased, and raises questions about the selection pressures governing TTR synthesis. TTR is most widely known as a distributor of thyroid hormones. In addition, TTR binds retinol-binding protein, which binds retinol. In this way, TTR is also involved with retinoid distribution. More recently, TTR has been demonstrated to bind a wide variety of endocrine disruptors including drugs, pollutants, industrial compounds, heavy metals, and some naturally occurring plant ?avonoids. These not only interfere with thyroid hormone delivery in the body, but also transport such endocrine disruptors into the brain, where they have the potential to accumulate.

High-fidelity chromosomal DNA replication underpins all life on the planet. In humans, there are clear links between chromosome replication defects and genome instability, genetic disease and cancer, making a detailed understanding of the molecular mechanisms of genome duplication vital for future advances in diagnosis and treatment. Building on recent exciting advances in protein structure determination, the book will take the reader on a guided journey through the intricate molecular machinery of eukaryotic chromosome replication and provide an invaluable source of information, ideas and inspiration for all those with an interest in chromosome replication, whether from a basic science, translational biology and medical research perspective.

21st Century Kinematics focuses on algebraic problems in the analysis and synthesis of mechanisms and robots, compliant mechanisms, cable-driven systems and protein kinematics. The specialist contributors provide the background for a series of presentations at the 2012 NSF Workshop. The text shows how the analysis and design of innovative mechanical systems yield increasingly complex systems of polynomials, characteristic of those systems. In doing so, it takes advantage of increasingly sophisticated computational tools developed for numerical algebraic geometry and demonstrates the now routine derivation of polynomial systems dwarfing the landmark problems of even the recent past. The 21st Century Kinematics workshop echoes the NSF-supported 1963 Yale Mechanisms Teachers Conference that taught a generation of university educators the fundamental principles of kinematic theory. As such these proceedings will provide admirable supporting theory for a graduate course in modern kinematics and should be of considerable interest to researchers in mechanical design, robotics or protein kinematics or who have a broader interest in algebraic geometry and its applications.

Physics, mathematics and chemistry all play a vital role in understanding the true nature and functioning of biological membranes, key elements of living processes. Besides simple spectroscopic observations and electrical measurements of membranes we address in this book the phenomena of coexistence and independent existence of different membrane components using various theoretical approaches. This treatment will be helpful for readers who want to understand biological processes by applying both simple observations and fundamental scientific analysis. It provides a deep understanding of the causes and effects of processes inside membranes, and will thus eventually open new doors for high-level pharmaceutical approaches towards fighting membrane- and cell-related diseases.

The book gives a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies of protein dynamics, folding mechanisms and macromolecular interactions. It approaches span a wide range of the levels of coarse-grained representations, various sampling techniques and variety of applications to biomedical and biophysical problems. This book is intended to be used as a reference book for those who are just beginning their adventure with biomacromolecular modeling but also as a valuable source of detailed information for those who are already experts in the field of biomacromolecular modeling and in related areas of computational biology or biophysics.

TwentyyearshavegonebysinceJackSokatch?rstpublishedhisoutsta- ingTheBiologyofPseudomonasbackin1986.Thiswasfollowedbytwobooks published by the ASM that contained the presentations of the Pseudomonas meetings held in Chicago in 1989 and Trieste in 1991. The earlier volume of these two was edited by Simon Silver, Al Chakrabarty, Barbara Iglewski, and Sam Kaplan, and the later one by Enrica Galli, Simon Silver, and Bernard Witholt. The time was ripe for a series of books on Pseudomonas because of its importance in human and plant pathogenesis, bio?lms, soil and rhizosphere colonization, etc. Efforts were devoted to produce the ?rst three volumes of the series on the biology of Pseudomonas after a meeting with Kluwer staff members in August 2002 during the XI IUMS conference in Paris (France). In less than a year a group of outstanding scientists in the ?eld, after devoting much of their valuable time, managed to complete their chapters for the three volumes of the series. To ensure the high standard of each chapter, renowned scientists participated in the reviewing process. The three books collected part of the "explosion" of new vital information on the genus Pseudomonas.

Mitochondria and chloroplasts are eukaryotic organelles that evolved from bacterial ancestors and harbor their own genomes. The gene products of these genomes work in concert with those of the nuclear genome to ensure proper organelle metabolism and biogenesis. This book explores the forces that have shaped the evolution of organelle genomes and the expression of the genes encoded by them. Some striking examples of trends in organelle evolution explored here are the reduction in genome size and gene coding content observed in most lineages, the complete loss of organelle DNA in certain lineages, and the unusual modes of gene expression that have emerged, such as the extensive and essential mRNA editing that occurs in plant mitochondria and chloroplasts. This book places particular emphasis on the current techniques used to study the evolution of organelle genomes and gene expression.

If theoretical physicists can seriously entertain canonical "standard models" even for the big-bang generation of the entire universe, why cannot life scientists reach a consensus on how life has emerged and settled on this planet? Scientists are hindered by conceptual gaps between bottom-up inferences (from early Earth geological conditions) and top-down extrapolations (from modern life forms to common ancestral states). This book challenges several widely held assumptions and argues for alternative approaches instead. Primal syntheses (literally or figuratively speaking) are called for in at least five major areas. (1) The first RNA-like molecules may have been selected by solar light as being exceptionally photostable. (2) Photosynthetically active minerals and reduced phosphorus compounds could have efficiently coupled the persistent natural energy flows to the primordial metabolism. (3) Stochastic, uncoded peptides may have kick-started an ever-tightening co-evolution of proteins and nucleic acids. (4) The living fossils from the primeval RNA World thrive within modern cells. (5) From the inherently complex protocellular associations preceding the consolidation of integral genomes, eukaryotic cell organization may have evolved more naturally than simple prokaryote-like life forms. - If this book can motivate dedicated researchers to further explore the alternative mechanisms presented, it will have served its purpose well.

This book provides a premier resource on understanding the ribosome's essential nature and how it interacts with other proteins and nucleic acids to control protein synthesis. As one of the central foundations in our understanding of the biology at the molecular level, this topic appeals to a wide audience, from bench researcher to clinician. With the advent of atomic scale structures, methods to visualize and separate individual molecules, and the computational power to model the complex interactions of over a million atoms at once, our understanding of how gene expression is controlled at the level of protein translation is now deeply ensconced in the biophysical realm.

Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.