Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Quantum Chemistry Methods For Oncological Drugs
Download Quantum Chemistry Methods For Oncological Drugs full books in PDF, epub, and Kindle. Read online Quantum Chemistry Methods For Oncological Drugs ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Quantum Chemistry Methods for Oncological Drugs by : Eudenilson L. Albuquerque
Download or read book Quantum Chemistry Methods for Oncological Drugs written by Eudenilson L. Albuquerque and published by Elsevier. This book was released on 2024-02-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum Chemistry Methods for Oncological Drugs provides a comprehensive reference text for student, researchers, and academic staff across disciplines working in the field of Nanobiotechnology, who need to grasp the unique inter-relationship of the physical, chemical, and biological properties of oncological drugs and their interactions. It provides a theoretical/computational framework based on quantum chemistry and addresses key questions in which detailed analysis and precise predictions are always required. The sophisticated molecular recognition of various natural biological materials has been used in the formation of a complex network of structures potentially useful for a variety of pharmaceutical applications. They offer solutions to many of the obstacles that need to be overcome, with accuracy not feasible with the technologies usually available in materials science. Important common challenges presented in this book are aspects related to the biology of cancer using our immunological checking points, specialized proteins that act as brakes in the immune system, allowing it to recognize and attack more efficiently only the cancer cells, avoiding the destruction of healthy cells as in conventional chemotherapy and radiotherapy treatments. This book is devoted to this burgeoning area of Nanobiotechnology for oncological drugs and will be valuable in covering the new developments that have occurred in the last decade or so. It is aimed at graduate students, faculty members and other researchers in physics, chemistry, biology, pharmacology, and medicine. - Comprehensive and up-to-date account of the main physical, chemical, biological, and pharmaceutical properties of oncological drugs and their interactions, using a theoretical/computational framework based on quantum chemistry - Focuses on an exciting and dynamic area of research, not only in the academic world but also in the Nanobiotechnology industry - Strong multidisciplinary content: the immediate future of pure and applied scientific research undoubtedly points to the interconnection and complementarity between different areas
Book Synopsis Quantum Chemistry Simulation of Biological Molecules by : Eudenilson L. Albuquerque
Download or read book Quantum Chemistry Simulation of Biological Molecules written by Eudenilson L. Albuquerque and published by Cambridge University Press. This book was released on 2021-02-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nano-biotechnology crosses the boundaries between physics, biochemistry and bioengineering, and has profound implications for the biomedical engineering industry. This book describes the quantum chemical simulation of a wide variety of molecular systems, with detailed analysis of their quantum chemical properties, individual molecular configurations, and cutting-edge biomedical applications. Topics covered include the basic properties of quantum chemistry and its conceptual foundations, the nanoelectronics and thermodynamics of DNA, the optoelectronic properties of the five DNA/RNA nucleobase anhydrous crystals, and key examples of molecular diode prototypes. A wide range of important applications are described, including protein binding of drugs such as cholesterol-lowering, anti-Parkinson and anti-migraine drugs, and recent developments in cancer biology are also discussed. This modern and comprehensive text is essential reading for graduate students and researchers in multidisciplinary areas of biological physics, chemical physics, chemical engineering, biochemistry and bioengineering.
Book Synopsis Computational Drug Discovery by : Vasanthanathan Poongavanam
Download or read book Computational Drug Discovery written by Vasanthanathan Poongavanam and published by John Wiley & Sons. This book was released on 2024-01-19 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in computational drug discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in computational drug discovery and serve as a valuable resource for professionals engaged in drug discovery.
Book Synopsis Computational Methods in Drug Discovery and Repurposing for Cancer Therapy by : Ganji Purnachandra Nagaraju
Download or read book Computational Methods in Drug Discovery and Repurposing for Cancer Therapy written by Ganji Purnachandra Nagaraju and published by Elsevier. This book was released on 2023-03-22 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Methods in Drug Discovery and Repurposing for Cancer Therapy provides knowledge about ongoing research as well as computational approaches for drug discovery and repurposing for cancer therapy. The book also provides detailed descriptions about target molecules, pathways, and their inhibitors for easy understanding and applicability. The book discusses tools and techniques such as integrated bioinformatics approaches, systems biology tools, molecular docking, computational chemistry, artificial intelligence, machine learning, structure-based virtual screening, biomarkers, and transcriptome; those are discussed in the context of different cancer types, such as colon, pancreatic, glioblastoma, endometrial, and retinoblastoma, among others. This book is a valuable resource for researchers, students, and members of the biomedical and medical fields who want to learn more about the use of computational modeling to better tailor the treatment for cancer patients. - Discusses in silico remodeling of effective phytochemical compounds for discovering improved anticancer agents for substantial/significant cancer therapy - Covers potential tools of bioinformatics that are applied toward discovering new targets by drug repurposing and strategies to cure different types of cancers - Demonstrates the significance of computational and artificial intelligence approaches in anticancer drug discovery - Explores how these various advances can be integrated into a precision and personalized medicine approach that can eventually enhance patient care
Download or read book Cancer Chemotherapy Reports written by and published by . This book was released on 1974 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of Cancer and Society by : Graham A. Colditz
Download or read book Encyclopedia of Cancer and Society written by Graham A. Colditz and published by SAGE. This book was released on 2007-09-12 with total page 1622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia will define the issues that surround cancer and its effects on society.
Download or read book Systems Medicine written by and published by Academic Press. This book was released on 2020-08-24 with total page 1571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information
Book Synopsis Biomolecular Simulations in Structure-Based Drug Discovery by : Francesco L. Gervasio
Download or read book Biomolecular Simulations in Structure-Based Drug Discovery written by Francesco L. Gervasio and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.
Book Synopsis Computational Methods for Precision Oncology by : Alessandro Laganà
Download or read book Computational Methods for Precision Oncology written by Alessandro Laganà and published by Springer Nature. This book was released on 2022-03-01 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
Book Synopsis Computational Drug Discovery of Medicinal Compounds for Cancer Management by : Sibhghatulla Shaikh
Download or read book Computational Drug Discovery of Medicinal Compounds for Cancer Management written by Sibhghatulla Shaikh and published by Frontiers Media SA. This book was released on with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is still a major public health concern, and it is regarded as one of the leading causes of mortality globally. Despite significant advances in biotechnologies, developing practical and innovative small molecule drugs remains a difficult, time-consuming, and expensive task that necessitates collaborations from many experts in multidisciplinary fields such as computational biology, drug metabolism, and clinical research, among others. Therefore, new drug development procedures that save time and cost while increasing efficiency are in high demand. In silico screening in combination with molecular simulations, has become an increasingly important aspect of modern drug development processes. Understanding ligand-protein interaction is critical in all areas of drug design and discovery. Computational approaches, such as molecular docking, molecular dynamics simulations, pharmacophore modeling, and QSAR, etc. are efficient tools for obtaining insights on structure-function relationships for small molecules and/or medicinal compounds with target proteins, and are widely used in the identification and optimization of leads. The goal of the drug discovery process is to predict a drug candidate's metabolic fate in order to build a link between pharmacodynamics and pharmacokinetics and to identify the drug candidate's possible toxicity. The advancement of in silico techniques in recent years has enabled researchers to collect more trustworthy data. This Research Topic will focus on the use and application of computational methods that can aid in the drug design of medicinal compounds targeting various proteins for cancer management, which is a critical requirement in the pharmaceutical sectors.
Book Synopsis Application of Computational Techniques in Pharmacy and Medicine by : Leonid Gorb
Download or read book Application of Computational Techniques in Pharmacy and Medicine written by Leonid Gorb and published by Springer. This book was released on 2014-11-07 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed volume provides both fundamental and detailed information about the computational and computational-experimental studies which improve our knowledge of how leaving matter functions, the different properties of drugs (including the calculation and the design of new ones), and the creation of completely new ways of treating numerical diseases. Whenever it is possible, the interplay between theory and experiment is provided. The book features computational techniques such as quantum-chemical and molecular dynamic approaches and quantitative structure–activity relationships. The initial chapters describe the state-of-the art research on the computational investigations in molecular biology, molecular pharmacy, and molecular medicine performed with the use of pure quantum-chemical techniques. The central part of the book illustrates the status of computational techniques that utilize hybrid, so called QM/MM approximations as well as the results of the QSAR studies which now are the most popular in predicting drugs’ efficiency. The last chapters describe combined computational and experimental investigations.
Book Synopsis Textbook of Medicinal Chemistry Vol I - E-Book by : V Alagarsamy
Download or read book Textbook of Medicinal Chemistry Vol I - E-Book written by V Alagarsamy and published by Elsevier Health Sciences. This book was released on 2013-06-17 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr Alagarsamy's Textbook of Medicinal Chemistry is a much-awaited masterpiece in its arena. Targeted mainly to B. Pharm. students, this book will also be useful for M. Pharm. as well as M. Sc. organic chemistry and pharmaceutical chemistry students. It aims at eliminating the inadequacies in teaching and learning of medicinal chemistry by providing enormous information on all the topics in medicinal chemistry of synthetic drugs. Salient Features Contains clear classification, synthetic schemes, mode of action, metabolism, assay, pharmacological uses with the dose and structure–activity relationship (SAR) of the following classes of drugs: Drugs acting on inflammation Drugs acting on respiratory system Drugs acting on digestive system Drugs acting on blood and blood-forming organs Drugs acting on endocrine system Contains a complete section on chemotherapy and the various classes of chemotherapeutic agents. Also includes recent topics like anti-HIV agents Contains brief introduction about the physiological and pathophysiological conditions of diseases and their treatment under each topic Provides well-illustrated synthetic schemes and alternative synthetic routes for majority of drugs that help in quick and enhanced understanding of the subject Covers the syllabi of majority of Indian universities
Book Synopsis Textbook Of Medicinal Chemistry by : Algar
Download or read book Textbook Of Medicinal Chemistry written by Algar and published by Elsevier Health Sciences. This book was released on 2010 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Textbook of Medicinal Chemistry is a much-awaited masterpiece in its arena. Targeted mainly to B. Pharmacy students, book would also be useful for M. Pharmacy as well as M.Sc. Organic Chemistry/Pharmaceutical Chemistry students. It aims at eliminating the inadequacies in teaching and learning of medicinal chemistry by providing enormous information on all the topics in medicinal chemistry of synthetic drugs. About the Author : - Prof. Dr. V. Alagarsamy, M. Pharm., Ph.D., FIC., D.O.M.H., is Professor and Principal of MNR College of Pharmacy, Gr. Hyderabad, Sangareddy. He has been teaching Medicinal Chemistry and performing research work in Synthetic Medicinal Chemistry on novel heterocyclic bioactive compounds for more than a decade. His research activities are collaborated with various research laboratories/organisations like National Cancer Institute, USA; Rega Institute for Medical Research, Belgium and Southern Research Institute, USA. He is a recipient of Young Scientist award from the Department of Science and Technology, New Delhi. His research publications in journals and presentations in conferences, put together, exceed hundred. His research activities are supported by the funding agencies like CSIR, DST and DSIR. He is a doctoral committee member and recognized Research guide for Ph.D. students in various universities.
Book Synopsis The Charnolosome as a Novel Nanothereranostic Biomarker by : Sushil Sharma
Download or read book The Charnolosome as a Novel Nanothereranostic Biomarker written by Sushil Sharma and published by Elsevier. This book was released on 2024-09-30 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Charnolosome as a Novel Nanothereranostic Biomarker: Overcoming Future Challenges in Medicine provides an overview of the charnolosome and its potential as a biomarker of cell injury. Based on the author's original discovery of the charnoly body in the developing, undernourished rat cerebellar Purkinje neurons, this book delves into the potential for utilizing this mitochondria and lysosomal-derived intracellular organelle as a nanotheranostic biomarker to prevent and cure various diseases. The book discusses the cellular, molecular, genetic, and epigenetic mechanisms of charnolosomes and charnolosome-derived nano-vesicles. It also investigates the molecular mechanisms underlying auto-inflammatory, autoimmune, and infectious diseases resulting from their compromised mitochondrial bioenergetics, and the potential use of the charnolosome in preventing and curing such conditions. - Shares the latest knowledge on the charnolosome and charnolosome-derived nano-vesicles and their significance at a cellular and molecular level - Considers the charnolosome in relation to a range of conditions, including neurodegenerative, metabolic, and multi-drug resistant systemic diseases - Presents future perspectives of the charnolosome in personalized nanotheranostics
Author :Frederick A. Valeriote Publisher :Springer Science & Business Media ISBN 13 :1461534925 Total Pages :413 pages Book Rating :4.4/5 (615 download)
Book Synopsis Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development by : Frederick A. Valeriote
Download or read book Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development written by Frederick A. Valeriote and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of the 22nd Annual Detroit Cancer Symposium was the presentation and discussion of cytotoxic agents, with a significant portion of the symposium including the exciting frontiers of drug discovery being explored by the National Cooperative Drug Discovery Groups (NCDDG) Program. The symposium brought together a large number of investigators from government, universities and pharmaceutical companies involved in the discovery and development of new anticancer agents. Exciting new leads were presented and the status of others presently under development was discussed. Of particular significance has been the initiation of renewed efforts in the area of natural product drug discovery, where the discovery of new cytotoxics is very promising at the moment. A number of major changes have occurred during the last decade in research on drug discovery of cytotoxic agents. Critical reviews of a number of the models and concepts underlying drug discovery represented a continuous thread throughout the meeting, being constantly discussed in terms of their advantages, disadvantages and capabilities of discovering solid tumor active anticancer agents. A recent development which is to be much applauded and which portends to great discoveries is the new relationship formed between Government, University of Industry. The NCDDG mechanism which stimulates this interaction is an inexpensive manner to greatly magnify the drug discovery and development effort nationally. Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development represents a forum which will become the major mode for bringing together these three different components in the equation to regularly discuss new results and ideas.
Download or read book Progress in Drug Research written by and published by Birkhäuser. This book was released on 2012-12-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hepatitis C virus (HCV) was first identified in 1989 as the etiologic agent of non-A, non-B hepatitis [1] and is currently recognized as the leading cause of chronic liver disease worldwide. In contrast to hepatitis B virus infection, in which only about 5% of adult infections become chronic, more than 80% of HCV-infected patients develop chronic hepatitis. Moreover, 20-50% of those persistently infected with HCV will develop liver cirrhosis and hepatocellu lar carcinoma (HCC) [2]. It is estimated that there are 10,000 deaths in the USA per year due to chronic liver failure or HCC [3]. In addition, HCV dis 25-50% of all liver transplants in US centers, and the ease is responsible for recurrence of HCV infection following liver transplantation is universal [4]. Typically, HCV disease emerges after a 10-20 year period during which symp toms, if they exist at all, are mild and non-specific. Although the prevalence varies greatly among different countries, it has been estimated that up to 170 million people (3% of the world's population), are infected with HCV [5]. A recent study in the USA found that 65% of all HCV-infected persons are 30 to 49 years old [6].
Book Synopsis Advanced AI Techniques and Applications in Bioinformatics by : Loveleen Gaur
Download or read book Advanced AI Techniques and Applications in Bioinformatics written by Loveleen Gaur and published by CRC Press. This book was released on 2021-10-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
