Streptomycetes are unusually complex bacteria that are abundant in soil. They grow as branching filaments and form chains of spores. Most importantly, they have an extraordinary ability to make antibiotics, for which they are the main industrial source, as well as other metabolites with medicinal properties. In recent years, the search for new antibiotics and other drugs in streptomycetes has been augmented by genomic studies, genome mining, and new biotechnological approaches. With contributions from some of the leading scientists in the field, this book documents recent research and development in streptomycetes genomics, physiology, and metabolism. With a focus on biotechnology and genomics, the book provides an excellent source of up-to-date information. Topics include: genome architecture * conjugative genetic elements * differentiation * protein secretion * central carbon metabolic pathways * regulation of nitrogen assimilation * phosphate control of metabolism * gamma-butyrolactones and their role in antibiotic regulation * clavulanic acid and clavams * genome-guided exploration * gene clusters for bioactive natural products * genomics of cytochromes p450. The book is essential reading for research scientists, biotechnologists, graduate students, and other professionals involved in streptomycetes research, antibiotic and antimicrobial development, drug discovery, soil microbiology and related fields. It is a recommended text for all microbiology laboratories.

Electrophoresis is a straightforward but informative analytical method used in biochemistry, biology and medicine. This book combines a detailed discussion of theory and technical application with an elaborate section on troubleshooting and problem solving in electrophoresis. Therefore the book is an important guide for both students and scientists.

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

This detailed volume compiles state-of-the-art protocols that will serve as recipes for scientists researching collagen, an abundant protein with great importance to health and disease, as well as in applications like food, cosmetics, pharmaceuticals, cosmetic surgery, artificial skin, and glue. Beginning with a section on in vitro models for the characterization of collagen formation, the book continues by highlighting large-scale analysis of collagen with mass spectrometry in order to elucidate the proteomics, degradomics, interactomes, and cross-linking of collagen, high resolution imaging approaches for collagen by the use of scanning electron microscopy and multiphoton imaging, as well as the role of collagen during physiological and pathological conditions. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Collagen: Methods and Protocols is an ideal guide to high quality and repeatable protocols in this vital field of study.

Systems biology is a vigorous and expanding discipline, in many ways a successor to genomics and perhaps unprecedented in its combination of biology with a great many other sciences, from physics to ecology, from mathematics to medicine, and from philosophy to chemistry. Studying the philosophical foundations of systems biology may resolve a longer standing issue, i.e., the extent to which Biology is entitled to its own scientific foundations rather than being dominated by existing philosophies.
* Answers the question of what distinguishes the living from the non-living
* An in-depth look to a vigorous and expanding discipline, from molecule to system
* Explores the region between individual components and the system

This book consists of 3 volumes: Basic Science (Volume 1), Clinical Science (Volume 2) and Technology and Methodology (Volume 3). Volume 2 focuses on the clinical aspects of autophagy research, discussing the role of autophagy in neuropsychiatric disorders, the cardiovascular, immune, digestive and endocrine systems, as well as tumors, infection, the kidney, and the respiratory and hematological systems. It also addresses autophagy-related drug development. Written and edited by a team of 90 experts, and presenting the state of the art in autophagy research, this book is a valuable reference resource for researchers and clinicians alike. It can also be used as supplementary material for graduate students majoring in biology and medicine

Salmonellae are important pathogens, responsible for an estimated one million deaths and 100 million human infections annually. Their genomes are mosaic puzzles, results of lateral transfer events that occur within a stable genetic background. Extraordinary diversity of host ranges and pathogenicity traits between different strains are the consequence of both specific genome insertions/deletions and minute changes in genome composition. Genomic information decoded from a multitude of different Salmonella strains and new dramatic insights into pathogenic processes emphasize the fact that Salmonella research is currently at a very exciting juncture. In addition to their fascinating resilience in both the environment and eukaryotic hosts, Salmonella prefer tumors over any other location within the human host (by a factor of 1000 or more). This ability could propel Salmonella into future use as a therapeutic delivery agent to control and/or cure cancers. In this book, internationally accla

This second edition shows how long non-coding RNAs (lnc)RNAs have emerged as a new paradigm in epigenetic regulation of the genome. Thousands of lncRNAs have been identified and observed in a wide range of organisms. Unlike mRNA, lncRNA have no protein-coding capacity. So, while their function is not entirely clear, they may serve as key organizers of protein complexes that allow for higher order regulatory events. Advances in the field also include better characterization of human long non-coding RNAs, novel insights into their roles in human development and disease, their diverse mechanisms of action and novel technologies to study them.

The polymerase chain reaction (PCR) is a fundamental tool in scientific research and clinical testing. Real-time PCR, combining both amplification and detection in one instrument, is a rapid and accurate method for nucleic acid detection and quantification. Although PCR is a very powerful technique, the results achieved are valid only if the appropriate controls have been employed. In addition, proper optimization of PCR conditions is required for the generation of specific, repeatable, reproducible, and sensitive data. This book discusses the strategies for preparing effective controls and standards for PCR, when they should be employed, and how to interpret the information they provide. It highlights the significance of optimization for efficiency, precision, and sensitivity of PCR methodology and provides essential guidance on how to troubleshoot inefficient reactions. Experts in PCR describe design and optimization techniques, discuss the use of appropriate controls, explain the significance of standard curves, and explore the principles and strategies required for effective troubleshooting. The book highlights the importance of sample preparation and quality, primer design, controlling inhibitors, avoiding amplicon and environmental contamination, optimizing reagent quality and concentration, and modifying the thermal cycling protocol for optimal sensitivity and specificity. In addition, specific chapters discuss the history of PCR, the choice of instrumentation, the applications of PCR in metagenomics, high resolution melting analysis, the MIQE guidelines, and PCR at the microliter scale. The strategies, tips and advice contained in this concise volume will enable the scientist to optimize and effectively troubleshoot a wide range of techniques, including PCR, reverse transcriptase PCR, real-time PCR, and quantitative PCR. It will be an essential book for anyone using PCR technology.

This book introduces "network pharmacology" as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used. In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied. This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.

This book gathers selected studies on the industrial applications of glycoside hydrolases (GHs), presenting an updated classification of these enzymes, and discussing their structure, mechanisms, and various approaches to improve their catalytic efficiency. Further, it explains the various industrial applications of glycoside hydrolases in food, effluent treatment, biofuel production, and the paper and pulp industries. Lastly, the book provides a comparative analysis of glycoside hydrolases and discusses the role of metagenomics in the discovery of industrially important enzymes. As such it is a thought-provoking, instructive and informative resource for biochemists, enzymologists, molecular biologists and bioprocess technologists.

Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

This volume explores the latest available wet-lab techniques and computational methods to study in-cell small-molecule behavior and interactions with their targets. The chapters in this book discuss topics such as disease-relevant models for chemical biology studies, target engagement using cellular thermal shift assay or bioluminescence resonance energy transfer; visualization of bio-active small molecules Raman microscopy; (phospho-)proteomics and transcriptomics for mode-of-action studies, CRISPR/Cas9-based chemogenomic profiling in mammalian cells; predicting drug interactions using computational approaches; comparison of compound-induced profiles using high-content imaging or cancer cell line panels and web-based tools for polypharmacology prediction. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Systems Chemical Biology: Methods and Protocols is a valuable resource for novice or expert scientists and researchers trying to initiate or continue their chemical biology studies at a systems level.

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

An accompanying volume (Volume 6) in this series presents strategies of cellular invasion from the viewpoint of the microbe.
This filed of study is growing rapidly after a somewhat slow start over recent decades. This collection of invited chapters attempts to reflect current research, and brings together cell biologists, microbiologists and immunologists with disparate interests. However, there is a certain unity, even repetition of key themes, hopefully like a symphony rather than a boring catalogue. It will be evident that editorial bias favors intracellular paratism and medically important organisms. The neutrophil is far more than a supporting player to the macrophage, and some attempt is made to remind the reader of some of its unique skills. To retain a manageable size, the emphasis is on relatively early events such as mutual recognition, cell entry, and response, rather than on longterm changes in gene expression by either host cell or pathogen. Viruses are excluded not because of lack of importance but because of somewhat different research approaches, although it is cytogenes, share common strategies in invasion and intercellular spread.

Secretory Proteins, Volume 133 in the Advances in Protein Chemistry and Structural Biology series highlights new advances in the field, including chapters on Proprotein Convertases regulate trafficking and maturation of key proteins within the secretory pathway, Secretory Proteins in Cancer Diagnosis, Senescent Cells and SASP in Cancer Microenvironment: new approaches in cancer therapy, Autophagy for secretory protein: Therapeutic targets in cancer, Secretory proteins and pathways of secretion of osteosarcoma, Monocyte secretory proteins as drug targets for arresting progression of atherosclerosis, The secretory phenotypes of envenomed cells: insights into venom cytotoxicity, Macromolecules for secretory pathway in SARS-CoV-2 infection, and much more. Other sections cover Exploring the role of secretory proteins in the human infectious diseases diagnosis and therapeutics, Secretory proteins in orchestration of microbial pathogenesis- the curious case of Staphylococcus aureus, Influence of pathological mutations in Aspartylglucosylamine Deaspartylase causing Aspartylglucosaminuria: an in silico approach, and Change in conformational dynamics of Lipase A secretory protein upon mutation causing Wolman disease.

This book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike.

The inflammasome is a protein complex composed of an intracellular sensor-typically a Nod-like receptor (NLR), the precursor procaspase-1, and the adaptor ASC. Inflammasome activation leads to the maturation of caspase-1 and the processing of its substrates, IL-1 and IL-18. The inflammasome has been implicated numerous diseases, and blockade of inflammasome-derived IL-1 has beneficial effects on several of these diseases. Different books have been edited about the biology of inflammasomes and about methods to study, however, the implication of this complex in the different diseases and pathological conditions show the need of a book about the clinical implications and therapeutic options. This project will show the context where inflammasomes are being studied and the molecular implications in the medical and clinical contexts. Other important topic of the inflammasomes will be the development of pharmacological inhibitors in order to improve new clinical applications. In this sense, we can find new drugs with inhibitory effects or old drugs with an inhibitory potential effect. There is a need for re-establishing the real benefits of the inflammasome inhibitions in pathological situations and the management of the differents diseases where inflammasomes are implicated.

Apoptosis, or programmed cell death, is an adaptive form of cell death that plays a critical role in turnover of mitotic cells and various tissues in the adult, including epithelial cells, fibroblasts and various endocrine cells. Programmed cell death also plays a major role in development in organizing the body plan and molding intricate cellular structures such as nerve cell circuits in the brain. Rapidly progressing research into the molecular and biochemical underpinnings of the programmed cell death process are revealing novel genetic programs and molecular interactions that coordinate a process that results in death and removal of cells without an immune response and in the absence of the adverse effects on neighboring cells.

"Programmed Cell Death, Volume I," critically details the molecular, biochemical and cellular mechanisms of apoptosis. This volume covers programmed cell death in a variety of tissues and organ systems highlighting the interesting families of proteins involved in promoting or preventing apoptosis. These include the caspase and calpain families of proteases, Bcl-2 family members, and inhibitors of apoptosis proteins. Each chapter is written by an internationally recognized expert in a particular aspect of programmed cell death.

This book will provide the reader with a comprehensive understanding of the cascade of events leading from an apoptotic signal, such as trophic factor withdrawal or increased oxidative stress, to cell death. Importantly, this volume also covers signaling mechanisms designed to prevent apoptosis. Such anti-apoptotic signaling cascades involve neurotrophic factors and stress response pathways. "Programmed Cell Death, Volume I," provides the molecular and cellular foundation for http: //www.elsevier.com/locate/isbn/0444507302Programmed Cell Death, Volume II in which the roles of aberrant regulation of apoptosis in human diseases ranging from cancer to Alzheimer's disease are considered.

Bacteria have evolved with extraordinary abilities to regulate aspects of their behavior (such as gene expression) in response to signals in the intracellular and extracellular environment. Key to this are the diverse macromolecules (proteins or RNA) that sense change through direct interactions with chemical or physical stimuli. In recent years, there have been tremendous advances in understanding the structure and function of these signal receptors, and how interaction with the signal triggers changes in their activity and downstream events. For some systems, this understanding extends to the atomic level. In this unique book, an international team of experts reviews a selection of important model systems, providing a timely snapshot of the current state of research in the field. Sensory Mechanisms in Bacteria opens with an introductory chapter that reviews the diversity of signal recognition mechanisms, illustrating the breadth of the field. Subsequent chapters include descriptions

The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering; Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.