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Functional Screening For Cancer Drug Discovery From Experimental Approaches To Data Integration
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Book Synopsis Functional screening for cancer drug discovery: From experimental approaches to data integration by : Wenyu Wang
Download or read book Functional screening for cancer drug discovery: From experimental approaches to data integration written by Wenyu Wang and published by Frontiers Media SA. This book was released on 2023-09-28 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrated Drug Discovery Technologies by : Houng-Yau Mei
Download or read book Integrated Drug Discovery Technologies written by Houng-Yau Mei and published by CRC Press. This book was released on 2002-03-19 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Drug Discovery Technologies provides a global overview of emerging drug development technologies by presenting and integrating new techniques from the disciplines of chemistry, biology, and computational sciences. It combines integration of contemporary mechanization with strategies in drug delivery. Topics include: functional genomics, microfabrication techniqes, integrated proteomics technologies, high throughput screening, and fluorescence correlation spectroscopy methods.
Book Synopsis Functional Informatics in Drug Discovery by : Sergey Ilyin
Download or read book Functional Informatics in Drug Discovery written by Sergey Ilyin and published by CRC Press. This book was released on 2007-08-27 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry. One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceutical
Book Synopsis Anticancer Drug Development Guide by : Beverly A. Teicher
Download or read book Anticancer Drug Development Guide written by Beverly A. Teicher and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experienced cancer researchers from pharmaceutical companies, government laboratories, and academia comprehensively review and describe the arduous process of cancer drug discovery and approval. They focus on using preclinical in vivo and in vitro methods to identify molecules of interest, detailing the targets and criteria for success in each type of testing and defining the value of the information obtained from the various tests. They also define each stage of clinical testing, explain the criteria for success, and outline the requirements for FDA approval. A companion volume by the same editor (Cancer Therapeutics: Experimental and Clinical Agents) reviews existing anticancer drugs and potential anticancer therapies. These two volumes in the Cancer Drug Discovery and Development series reveal how and why molecules become anticancer drugs and thus offer a blueprint for the present and the future of the field.
Book Synopsis High Throughput Screening Methods by : Joshua A. Bittker
Download or read book High Throughput Screening Methods written by Joshua A. Bittker and published by Royal Society of Chemistry. This book was released on 2016-12-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: High throughput screening remains a key part of early stage drug and tool compound discovery, and methods and technologies have seen many fundamental improvements and innovations over the past 20 years. This comprehensive book provides a historical survey of the field up to the current state-of-the-art. In addition to the specific methods, this book also considers cultural and organizational questions that represent opportunities for future success. Following thought-provoking foreword and introduction from Professor Stuart Schreiber and the editors, chapters from leading experts across academia and industry cover initial considerations for screening, methods appropriate for different goals in small molecule discovery, newer technologies that provide alternative approaches to traditional miniaturization procedures, and practical aspects such as cost and resourcing. Within the context of their historical development, authors explain common pitfalls and their solutions. This book will serve as both a practical reference and a thoughtful guide to the philosophy underlying technological change in such a fast-moving area for postgraduates and researchers in academia and industry, particularly in the areas of chemical biology, pharmacology, structural biology and assay development.
Book Synopsis Integration of Omics Approaches and Systems Biology for Clinical Applications by : Antonia Vlahou
Download or read book Integration of Omics Approaches and Systems Biology for Clinical Applications written by Antonia Vlahou and published by John Wiley & Sons. This book was released on 2018-01-24 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to the state of the art of omics platforms and all aspects of omics approaches for clinical applications This book presents different high throughput omics platforms used to analyze tissue, plasma, and urine. The reader is introduced to state of the art analytical approaches (sample preparation and instrumentation) related to proteomics, peptidomics, transcriptomics, and metabolomics. In addition, the book highlights innovative approaches using bioinformatics, urine miRNAs, and MALDI tissue imaging in the context of clinical applications. Particular emphasis is put on integration of data generated from these different platforms in order to uncover the molecular landscape of diseases. The relevance of each approach to the clinical setting is explained and future applications for patient monitoring or treatment are discussed. Integration of omics Approaches and Systems Biology for Clinical Applications presents an overview of state of the art omics techniques. These methods are employed in order to obtain the comprehensive molecular profile of biological specimens. In addition, computational tools are used for organizing and integrating these multi-source data towards developing molecular models that reflect the pathophysiology of diseases. Investigation of chronic kidney disease (CKD) and bladder cancer are used as test cases. These represent multi-factorial, highly heterogeneous diseases, and are among the most significant health issues in developed countries with a rapidly aging population. The book presents novel insights on CKD and bladder cancer obtained by omics data integration as an example of the application of systems biology in the clinical setting. Describes a range of state of the art omics analytical platforms Covers all aspects of the systems biology approach—from sample preparation to data integration and bioinformatics analysis Contains specific examples of omics methods applied in the investigation of human diseases (Chronic Kidney Disease, Bladder Cancer) Integration of omics Approaches and Systems Biology for Clinical Applications will appeal to a wide spectrum of scientists including biologists, biotechnologists, biochemists, biophysicists, and bioinformaticians working on the different molecular platforms. It is also an excellent text for students interested in these fields.
Book Synopsis Large-scale Computational Screening and Machine Learning Approaches to Drug Discovery by : Bryce K Allen
Download or read book Large-scale Computational Screening and Machine Learning Approaches to Drug Discovery written by Bryce K Allen and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological information continues to grow exponentially fueled by massive data generation projects such as the Human Genome Project, The Cancer Genome Atlas (TCGA), and the Library of Integrated Network-based Cellular Signatures (LINCS). Unprecedented amounts and varieties of data (big data) have the potential to bring enormous scientific advances. Such data-driven research relies on advanced computational approaches for data integration and analysis. While bioinformatics encompasses many fields, the focus of my research has been to predict small molecule chemicals that interact with protein targets of interest and could, ultimately, become therapeutically useful drugs. Drug resistance in newly diagnosed tumors is often the major obstacle to the success of cancer chemotherapy. Understanding the molecular mechanisms underlying these conditions is necessary to develop therapeutic strategies that improve current clinical protocols. Heterogeneity in tumor cell populations challenges the efficacy of targeted therapeutics. However, research surrounding the understanding of adaptive cellular responses to targeted therapy has facilitated the development of combination therapies that disrupt these resistance mechanisms. We have developed new approaches to therapeutic discovery via molecular modeling and machine learning. This thesis presents an attempt to integrate biological and computational resources to discover novel therapeutic small molecules using ligand and structure-based modeling techniques. First, a general computational screening approach to identify novel multitarget kinase/bromodomain inhibitors from millions of commercially available small molecules is described. This pipeline identified eight novel BRD4 inhibitors, among them a first in class dual BRD4-EGFR inhibitor. To further characterize these compounds, I quantified their binding potential for BRD4 biochemically using an AlphaScreen assay and evaluated further improvements to our docking models by performing molecular dynamics (MD) simulations with those that displayed activity. Finally, to expand and improve the applicability and performance of my research to a more global predictive architecture, I applied multitask deep neural networks and single task learning methods to the problem of predicting ligand activity across the entire human kinome for which bioactivity information is available. I found that multitask deep learning improves enrichment of active compounds across all kinase targets, regardless of the amount of activity information and similarity between active kinase compounds. This research demonstrates that large-scale data-driven modeling approaches can result in novel small molecule discoveries and introduces a framework that can be utilized by the scientific community to improve computational screening and machine learning methodologies for drug discovery.
Book Synopsis Methods in Microarray Normalization by : Phillip Stafford
Download or read book Methods in Microarray Normalization written by Phillip Stafford and published by CRC Press. This book was released on 2008-01-31 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This organized text compiles, for the first time, the most useful normalization methods developed for interpreting microarray data. Experts examine the mathematical processes that are important in normalizing data and avoiding inherent systematic biases. They also review modern software, including discussions on key algorithms, comparative data, and download locations. The book contains the latest microarray innovations from companies such as Agilent, Affymetrix, and GeneGo as well as new, readily adaptable normalization methods for expression and CGH arrays. It also lists of open-source molecular profiling normalization algorithms available and where to access them.
Book Synopsis Cancer Genomics by : Graham Dellaire
Download or read book Cancer Genomics written by Graham Dellaire and published by Academic Press. This book was released on 2013-11-21 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer Genomics addresses how recent technological advances in genomics are shaping how we diagnose and treat cancer. Built on the historical context of cancer genetics over the past 30 years, the book provides a snapshot of the current issues and state-of-the-art technologies used in cancer genomics. Subsequent chapters highlight how these approaches have informed our understanding of hereditary cancer syndromes and the diagnosis, treatment and outcome in a variety of adult and pediatric solid tumors and hematologic malignancies. The dramatic increase in cancer genomics research and ever-increasing availability of genomic testing are not without significant ethical issues, which are addressed in the context of the return of research results and the legal considerations underlying the commercialization of genomic discoveries. Finally, the book concludes with "Future Directions", examining the next great challenges to face the field of cancer genomics, namely the contribution of non-coding RNAs to disease pathogenesis and the interaction of the human genome with the environment. Tools such as sidebars, key concept summaries, a glossary, and acronym and abbreviation definitions make this book highly accessible to researchers from several fields associated with cancer genomics. Contributions from thought leaders provide valuable historical perspective to relate the advances in the field to current technologies and literature.
Book Synopsis Biochips as Pathways to Drug Discovery by : Andrew Carmen
Download or read book Biochips as Pathways to Drug Discovery written by Andrew Carmen and published by CRC Press. This book was released on 2006-10-19 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fiercely competitive pharmaceutical marketplace, your organization cannot afford to spend excess dollars developing drugs that will fail to get FDA approval or have profoundly poor characteristics. Biochips as Pathways to Drug Discovery takes a comprehensive look at how the industry faces these challenges, using new technologies such as bioc
Book Synopsis Integrating Omics Data by : George Tseng
Download or read book Integrating Omics Data written by George Tseng and published by Cambridge University Press. This book was released on 2015-09-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.
Book Synopsis Biodiversity and Biomedicine by : Munir Ozturk
Download or read book Biodiversity and Biomedicine written by Munir Ozturk and published by Academic Press. This book was released on 2020-07-15 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biodiversity and Biomedicine: Our Future provides a new outlook on Earth’s animal, plant, and fungi species as vital sources for human health treatments. While there are over 10 million various species on the planet, only 2 million have been discovered and named. This book identifies modern ways to incorporate Earth’s species into biomedical practices and emphasizes the need for biodiversity conservation. Written by leading biodiversity and biomedical experts, the book begins with new insights on the benefits of biologically active compounds found in fungi and plants, including a chapter on the use of wild fruits as a treatment option. The book goes on to discuss the roles of animals, such as amphibians and reptiles, and how the threatened presence of these species must be reversed to conserve biodiversity. It also discusses marine organisms, including plants, animals, and microbes, as essential in contributing to human health. Biodiversity and Biomedicine: Our Future is a vital source for researchers and practitioners specializing in biodiversity and conservation studies. Students in natural medicine and biological conservation will also find this useful to learn of the world’s most bio-rich communities and the molecular diversity of various species. Presents new developments in documenting and identifying species for biodiversity conservation and ethical considerations for biodiversity research Examines biodiversity as an irreplaceable resource for biomedical breakthroughs using available species for medical research Discusses challenges and opportunities for biodiversity protection and research in biosphere reserves
Book Synopsis Multi-omic Data Integration in Oncology by : Chiara Romualdi
Download or read book Multi-omic Data Integration in Oncology written by Chiara Romualdi and published by Frontiers Media SA. This book was released on 2020-12-03 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Integration of structural biology data in lead drug discovery and optimization by : Marco Nardini
Download or read book Integration of structural biology data in lead drug discovery and optimization written by Marco Nardini and published by Frontiers Media SA. This book was released on 2023-03-03 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence for Medicine by : Shai Ben- David
Download or read book Artificial Intelligence for Medicine written by Shai Ben- David and published by Elsevier. This book was released on 2024-03-14 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence for Medicine is beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field. Covers the basic concepts of Artificial Intelligence and Machine Learning, methods and practices, and advanced topics and applications to clinical and precision medicine Presents readers with an understanding of how AI is revolutionizing medicine by demonstrating the applications of computational intelligence to the field, along with an awareness of how AI can improve upon traditional medical structures Provides researchers, practitioners, and project stakeholders with a complete guide for applying AI techniques in their projects and solutions
Book Synopsis Biotechnology Annual Review by : M. Raafat El-Gewely
Download or read book Biotechnology Annual Review written by M. Raafat El-Gewely and published by Elsevier. This book was released on 2005-08-29 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biotechnology is a diverse, complex and rapidly evolving field. Students and experienced researchers alike face the challenges of staying on top of developments in their field of specialty and maintaining a broader overview of the field as a whole. Volumes containing competent reviews on a diverse range of topics in the field fulfill the dual role of broadening and updating biotechnologists' knowledge. The current volume is an excellent example of such a book. The topics covered range from classical issues in biotechnology - such as, vehicles for the production of biotechnology products and methods for their detection, separation and analysis - to topics that are focused on the role of biotechnology in the health sciences. The information presented in this book will therefore will be of great value to both experienced biotechnologists and biotechnologists in training.
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