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Elsevier

Academic Press

  • Epigenetics in Health and Disease part B

    • 1st Edition
    • Volume 198
    • English
    Epigenetics in Health and Disease, Volume 198 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on Computational biology in epigenetics, Artificial intelligence and machine learning in epigenetics, CRISPR-dCas9 Systems for Epigenetic Editing for Therapeutic Applications, Epigenetics in heredity disease, Epigenetics in cancer development, diagnosis and therapy, Microbiota and epigenetics: health impact, Histone deacetylase (HDACs) Inhibitors: Clinical applications, Early epigenetic markers for precision medicine, Epigenetics of neurological diseases, Epigenetic Regulons in Alzheimer’s disease, and Epigenetics in epilepsy.

  • Advances in Organometallic Chemistry

    • 1st Edition
    • Volume 80
    • Pedro J. Perez
    • English
    Advances in Organometallic Chemistry, Volume 80, the latest release in this longstanding serial, is known for its comprehensive coverage of topics in organometallic synthesis, reactions, mechanisms, homogeneous catalysis, and more. It is ideal for a wide range of researchers involved in organometallic chemistry, with this updated release including chapters on Organometallic-like reactivity of group 10 metal-heteroatom sigma bonds, Organometallic interactions between metal nanoparticles and carbon-based molecules: a surface reactivity rationale, Group VI Allenylidene Complexes, and more.

  • Speaking, Writing and Communicating

    • 1st Edition
    • Volume 78
    • English
    Speaking, Writing and Communicating, Volume 78 in The Psychology of Learning and Motivation series, provides the latest release in this important resource that features empirical and theoretical contributions in cognitive and experimental psychology.

  • Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development

    • 1st Edition
    • Kunal Roy
    • English
    Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates.

  • Advances in Food and Nutrition Research

    • 1st Edition
    • Volume 104
    • Fidel Toldra
    • English
    Advances in Food and Nutrition Research, Volume 104 provides the latest advances on emerging bioactive compounds with putative health benefits and their controlled release and application in foods and nutraceuticals, as well as up-to-date information on food technologies, including 3D printing, safety of raw materials, and viruses in foods. Chapters in this new release cover Development and Application of Lipidomics for Food Research, Multi-omics fingerprints for food geographical origin identification and authentication, and Mass Spectrometry-based Techniques for Identification of Compounds in Milk and Meat Matrix, Micro- and Nanoencapsulation of Natural Phytochemicals: Challenges and Recent Perspectives for the Food and Nutraceuticals Industry Applications. Additional sections delve into the Effect of type and interfacial modification of emulsions on the protection and delivery of nutraceuticals, Nutricosmetics: a new frontier in bioactive peptides’ research towards skin aging, In vitro digestion models in the design of safe and nutritious foods, and Informing consumers optimally about their food: issues with and potential solutions for different types of information, their sources and consumers’ trust.

  • Modifications and Targeting of Protein Termini Part A

    • 1st Edition
    • Volume 684
    • English
    Modifications and Targeting of Protein Termini, Volume 684 in the Methods in Enzymology series serial highlights new advances in the field, with this new volume presenting interesting chapters pn a variety of timely topics, including Optimizing purification and activity assays of N-terminal methyltransferase complexes, In vitro reconstitution of hierarchical steps of Arg/N-degron pathway, Identification of N-degrons and N-recognins by using peptide-pull-downs combined with quantitative proteomics, A decoupled Virotrap approach to study the interactomes of N-terminal proteoforms, Monitoring ADO-dependent proteolysis in cells using fluorescent reporter proteins, Site-specific α-N-terminal methylation on peptides through chemical and enzymatic methods, and more. Additional sections cover Monitoring the interactions between N-degrons and N-recognins of the Arg/N-degron pathway, Characterization and chemical modulation of p62/SQSTM1 as an autophagic N-recognin of the Arg/N-degron pathway, Analysis of higher plant N-degron pathway components and substrates via expression in S. cerevisiae, and so much more.

  • Artificial Intelligence in Healthcare and COVID-19

    • 1st Edition
    • Parag Chatterjee + 1 more
    • English
    Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide).

  • Yasargil Microneurosurgery Study Guide

    Books I, II, IIIA, IIIB, IVA, and IVB
    • 1st Edition
    • Leonard Kranzler + 1 more
    • English
    YaÅŸargil Microneurosurgery Study Guide is designed for effective learning and study of the neurosurgical principles contained in seminal microneurosurgery textbooks. From normal microsurgical anatomy to aneurysms, arteriovenous malformations, and CNS tumor microsurgery, this study guide provides a question-and-answer format to knowledge of the background, anatomy, and techniques of microneurosurgery. This work is a practical guide to the application of microneurosurgery to a variety of brain conditions, including intracranial aneurysms, extrinsic and intrinsic tumors, while providing guidance on instrumentation and equipment, neuroanesthesia, complications, and more. This practical book is ideal for neurosurgeons, neurologists, neuroanatomists, and other technical experts with a clinical interest in brain microsurgery.

  • Formulation of Monoclonal Antibody Therapies

    From Lab to Market
    • 1st Edition
    • Amal Ali Elkordy
    • English
    Formulation of Monoclonal Antibody Therapies: From Lab to Market covers a wide range of topics about therapeutic monoclonal antibodies (mAbs) with a focus on formulation aspects. Therapeutic monoclonal antibodies are used for treatment of chronic diseases. It brings together a comprehensive knowledge in one accessible volume. Starting with foundational information on monoclonal antibodies, the book then discusses the importance of biopharmaceutical products, monoclonal antibodies, and biosimilars in treatment of chronic diseases, pharmaceutical aspects of mAbs, and how it can be administered. It also covers the industrial point of view and the clinical application of mAbs including in oncology, general medicine, rheumatology, hematology, dermatology, gastrointestinal tract, metabolic diseases, and dentistry. Formulation of Monoclonal Antibody Therapies: From Lab to Market is essential reading for researchers in biotechnology and biopharmaceutical fields, academics and pharmaceutical industrial scientists, and university students in pharmaceutical and biopharmaceutical sciences.

  • Uncertainty in Data Envelopment Analysis

    Fuzzy and Belief Degree-Based Uncertainties
    • 1st Edition
    • Farhad Hosseinzadeh Lotfi + 4 more
    • English
    Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult.

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