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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
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD) providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing also known as data mining and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
European Cooperation in Science and Technology (COST) supports the collaboration of nationally-funded science and technology research through the creation of networks. COST is the longest-running European framework enhancing cooperation among researchers, engineers and scholars across Europe. The COST Action CM1103 “Structure-based drug design for diagnosis and treatment of neurological diseases: dissecting and modulating complex function in the monoaminergic systems of the brain” is a good example of the advances possible through interdisciplinary collaboration on difficult problems. COST Action CM1103 brought together 28 research groups from 18 countries to collaborate for four years on multi-target drug design for complex neuropathologies. The interdisciplinary expertise of the members is spans the range from computational enzymology to human studies, providing outstanding opportunities for the interdisciplinary development of trainees, and is reflected in the articles in this e-book. This Research Topic covers progress in multi-target drug design for the complex neuropathologies of the monoamine system that are apparent, for example, in Alzheimer’s disease. After a mini-review to introduce the topic of multi-target drug design, the other articles review the Research topic from their own perspective, two from computational approaches, three from medicinal chemistry, two from molecular pharmacology, and two from studies in whole brain. This multi-faceted approach describes new compounds, new methodology, and advances in the basic science of understanding the brain. This Ebook is based upon work from COST Action (CM1103 “Structure-based drug design for diagnosis and treatment of neurological diseases: dissecting and modulating complex function in the monoaminergic systems of the brain"), supported by COST (European Cooperation in Science and Technology). COST (European Cooperation in Science and Technology) is a pan-European intergovernmental framework. Its mission is to enable break-through scientific and technological developments leading to new concepts and products and thereby contribute to strengthening Europe’s research and innovation capacities. It allows researchers, engineers and scholars to jointly develop their own ideas and take new initiatives across all fields of science and technology, while promoting multi- and interdisciplinary approaches. COST aims at fostering a better integration of less research intensive countries to the knowledge hubs of the European Research Area. The COST Association, an International not-for-profit Association under Belgian Law, integrates all management, governing and administrative functions necessary for the operation of the framework. The COST Association has currently 36 Member Countries. www.cost.eu
The current anti-cancer synthetic medicines are deemed inefficient and unsafe, state the editors of this new book. Plant-based lead molecules, however, such as taxol, camptothecin, podophyllotoxins, vinblastine, vincristine, homoharringtonine, and numerous other anticancer compounds from nature’s arsenal, are potentially safe and can be powerful alternatives that effectively fight against cancer. The volume looks at a variety of medicinal plants and approaches that have shown beneficial results against cancer. Topics in the book include Unani approaches of anticancer plants, genetic engineering and CRISPR/CAS-mediated editing to enhance a plant’s anticancer potential, computational approaches used in anticancer plants, and more. The volume also examines the metabolomics of plants that give them anti-cancer properties.
Knowledge of the extracellular matrix (ECM) is essential to understand cellular differentiation, tissue development, and tissue remodeling. This volume of the series “Biology of Extracellular Matrix” provides a timely overview of the structure, regulation, and function of the major macromolecules that make up the extracellular matrix. It covers topics such as collagen types and assembly of collagen-containing suprastructures, basement membrane, fibronectin and other cell-adhesive glycoproteins, proteoglycans, microfibrils, elastin, fibulins and matricellular proteins, such as thrombospondin. It also explores the concept that ECM components together with their cell surface receptors can be viewed as intricate nano-devices that allow cells to physically organize their 3-D-environment. Further, the role of the ECM in human disease and pathogenesis is discussed as well as the use of model organisms in elucidating ECM function.
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
A growing body of scientific evidence has revealed that many food peptides exhibit specific biological activities in addition to their established nutritional value. Bioactive peptides present in foods may help reduce the worldwide epidemic of chronic diseases that account for a great number of premature deaths annually. Bioactive peptides can be defined as isolated small fragments of proteins which provide some physiological health benefits. They act as potential modifiers reducing the risk of many chronic diseases. Bioactive Peptides from Food: Sources, Analysis, and Functions considers fundamental concepts, sources, hydrolysis, fractionation, purification, analysis, chemical synthesis, functions, and regulatory status of nutraceutical bioactive peptides. Methods of isolation of these peptides from different protein sources with their in vitro and vivo physiological effects are addressed. Divided into seven sections, this book delves into how these peptides play a major role in the development of various functional foods. Numerous bioactive peptides have been reported in recent years as naturally present or generated from food proteins of different origins like milk, eggs, soya, fish, and meat. Key Features: Includes a detailed study of the different sources of bioactive peptides Discusses the health benefits, such as antimicrobial, antiallergic, antihypertensive, antitumor, and immunomodulatory properties of peptides Explorates the state of the art analysis methods of peptides Discovers the bioinformatics of possible bioactive peptides Written by experts in their field from around the world, Bioactive Peptides from Food reveals the world of databases of peptides. It is a great resource for food scientists, technologists, chemists, nutrition researchers, producers, and processors working in the whole food science and technology field as well as those who are interested in the development of innovative functional products.
The book starts with a general introduction into the relevance of systems biology for understanding tuberculosis. This will be followed by several chapters which describe the application of systems biology to various aspects of the study of the pathogen, Mycobacterium tuberculosis, and its interaction with the host. The book provides the reader with an account of how the new science of systems biology is providing novel insights into the ancient scourge of tuberculosis. It will also describe how systems biology can be applied to the control of tuberculosis, including the development of new treatments, vaccines and diagnostics.
​The field of plant breeding has grown rapidly in the last decade with breakthrough research in genetics and genomics, inbred development, population improvement, hybrids, clones, self-pollinated crops, polyploidy, transgenic breeding and more. This book discusses the latest developments in all these areas but explores the next generation of needs and discoveries including omics beyond genomics, cultivar seeds and intellectual and property rights. This book is a leading-edge publication of the latest results and forecasts important areas of future needs and applications.​