Coronavirus Drug Discovery

Coronavirus Drug Discovery PDF Author: Chukwuebuka Egbuna
Publisher: Elsevier
ISBN: 0323851789
Category : Science
Languages : en
Pages : 390

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Book Description
Coronavirus Drug Discovery, Volume 1: SARS-CoV-2 (COVID-19) Prevention, Diagnosis, and Treatment is the first of three volumes presenting comprehensive information on drug discovery against COVID-19. This volume provides background information on the genesis of COVID-19, the epidemiology, transmission, pathogenesis, and mutagenesis. It also presents the various treatment options, drug discovery opportunities and vaccine developmental processes. Written by global team of experts from key institutions across the globe, this book is recommended to all concerned agencies, private research firms, and consortiums working on finding a solution to COVID-19 and its variants. By design, this book will be useful to drug developers, medicinal chemists, pharmacologists, health experts, researchers, students and faculty members in industry and academia. - Presents information on the genesis of COVID-19, global impact and collaborative efforts - Details the epidemiology, transmission, pathogenesis, and mutagenesis of SARS-CoV-2 - Documents the various treatment options and vaccine development for COVID-19

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention PDF Author: Ahmad Taher Azar
Publisher:
ISBN: 9783030728359
Category :
Languages : en
Pages : 0

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Book Description
This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19.

Artificial Intelligence and Machine Learning for COVID-19

Artificial Intelligence and Machine Learning for COVID-19 PDF Author: Fadi Al-Turjman
Publisher: Springer Nature
ISBN: 3030601889
Category : Technology & Engineering
Languages : en
Pages : 272

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Book Description
This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Computational Methods for Drug Repurposing

Computational Methods for Drug Repurposing PDF Author: Quentin Vanhaelen
Publisher: Humana
ISBN: 9781493989546
Category : Medical
Languages : en
Pages : 0

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Book Description
This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction. Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.

Coronaviruses

Coronaviruses PDF Author: Helena J. Maier
Publisher: Humana
ISBN: 9781071609026
Category : Medical
Languages : en
Pages : 278

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Book Description
This detailed new edition provides a comprehensive collection of protocols applicable to all members of the Coronavirinae sub-family currently and that are also transferrable to other fields of virology. Beginning with a section on detection, discovery, and evolution, the volume continues with coverage of propagation and titration of coronaviruses, genome manipulation, study of virus-host interactions, as well as imaging coronavirus infections. 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 cutting-edge, Coronaviruses: Methods and Protocols, Second Edition serves as a valuable guide to researchers working to identify and control viruses with increased potential to cross the species barrier and to develop the diagnostics, vaccines, and antiviral therapeutics that are required to manage future outbreaks in both humans and animals.

Artificial Intelligence for COVID-19

Artificial Intelligence for COVID-19 PDF Author: Diego Oliva
Publisher: Springer Nature
ISBN: 3030697444
Category : Technology & Engineering
Languages : en
Pages : 585

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Book Description
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

In Silico Modeling of Drugs Against Coronaviruses

In Silico Modeling of Drugs Against Coronaviruses PDF Author: Kunal Roy
Publisher:
ISBN: 9781071613665
Category : Coronavirus infections
Languages : en
Pages : 788

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Book Description
This essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. Comprehensive and timely, In Silico Modeling of Drugs Against Coronaviruses: Computational Tools and Protocols is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the future.

Coronavirus Drug Discovery

Coronavirus Drug Discovery PDF Author: Chukwuebuka Egbuna
Publisher: Elsevier
ISBN: 0323851789
Category : Science
Languages : en
Pages : 390

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Book Description
Coronavirus Drug Discovery, Volume 1: SARS-CoV-2 (COVID-19) Prevention, Diagnosis, and Treatment is the first of three volumes presenting comprehensive information on drug discovery against COVID-19. This volume provides background information on the genesis of COVID-19, the epidemiology, transmission, pathogenesis, and mutagenesis. It also presents the various treatment options, drug discovery opportunities and vaccine developmental processes. Written by global team of experts from key institutions across the globe, this book is recommended to all concerned agencies, private research firms, and consortiums working on finding a solution to COVID-19 and its variants. By design, this book will be useful to drug developers, medicinal chemists, pharmacologists, health experts, researchers, students and faculty members in industry and academia. - Presents information on the genesis of COVID-19, global impact and collaborative efforts - Details the epidemiology, transmission, pathogenesis, and mutagenesis of SARS-CoV-2 - Documents the various treatment options and vaccine development for COVID-19

Coronavirus Drug Discovery

Coronavirus Drug Discovery PDF Author: Chukwuebuka Egbuna
Publisher: Elsevier
ISBN: 0323955797
Category : Medical
Languages : en
Pages : 408

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Book Description
Coronavirus Drug Discovery, Volume Three: Druggable Targets and In Silico Update presents comprehensive information on drug discovery against COVID-19. Chapters in Part One of this volume describe the various druggable targets and associated signaling pathways for effective targeting of SARS-CoV-2. In Part Two, chapters discuss the various computational approaches and in silico studies against SARS-CoV-2. Written by global team of experts, this book is an excellent resource that will be extremely useful to drug developers, medicinal chemists, pharmaceutical companies in R&D, research institutes in both academia and industry, and the National Library of Medicines and Health. In addition, agencies such as the National Institutes of Health, Centers for Disease Control and Prevention, World Health Organization, European Medicines Agency, the US Food and Drug Administration, and all others involved in drug discovery against COVID-19 will find this book useful. - Discusses the pathogenic mechanisms of SARS-CoV-2 and druggable targets - Reviews the various signaling pathways associated with SAR-CoV-2 as possible druggable targets - Presents computational approaches and in silico studies against SARS-CoV-2

COVID-19: Targeting Essential SARS-CoV-2 Proteins for Drug Discovery

COVID-19: Targeting Essential SARS-CoV-2 Proteins for Drug Discovery PDF Author: Andrzej Joachimiak
Publisher: Frontiers Media SA
ISBN: 283251703X
Category : Science
Languages : en
Pages : 206

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Book Description


Burger's Medicinal Chemistry, Drug Discovery and Development, 8 Volume Set

Burger's Medicinal Chemistry, Drug Discovery and Development, 8 Volume Set PDF Author:
Publisher: John Wiley & Sons
ISBN: 111953030X
Category : Science
Languages : en
Pages : 6057

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Book Description
Burger’s Medicinal Chemistry, Drug Discovery and Development Explore the freshly updated flagship reference for medicinal chemists and pharmaceutical professionals The newly revised eighth edition of the eight-volume Burger’s Medicinal Chemistry, Drug Discovery and Development is the latest installment in this celebrated series covering the entirety of the drug development and discovery process. With the addition of expert editors in each subject area, this eight-volume set adds 35 chapters to the extensive existing chapters. New additions include analyses of opioid addiction treatments, antibody and gene therapy for cancer, blood-brain barrier, HIV treatments, and industrial-academic collaboration structures. Along with the incorporation of practical material on drug hunting, the set features sections on drug discovery, drug development, cardiovascular diseases, metabolic diseases, immunology, cancer, anti-Infectives, and CNS disorders. The text continues the legacy of previous volumes in the series by providing recognized, renowned, authoritative, and comprehensive information in the area of drug discovery and development while adding cutting-edge new material on issues like the use of artificial intelligence in medicinal chemistry. Included: Volume 1: Methods in Drug Discovery, edited by Kent D. Stewart Volume 2: Discovering Lead Molecules, edited by Kent D. Stewart Volume 3: Drug Development, edited by Ramnarayan S. Randad and Michael Myers Volume 4: Cardiovascular, Endocrine, and Metabolic Diseases, edited by Scott D. Edmondson Volume 5: Pulmonary, Bone, Immunology, Vitamins, and Autocoid Therapeutic Agents, edited by Bryan H. Norman Volume 6: Cancer, edited by Barry Gold and Donna M. Huryn Volume 7: Anti-Infectives, edited by Roland E. Dolle Volume 8: CNS Disorders, edited by Richard A. Glennon Perfect for research departments in the pharmaceutical and biotechnology industries, Burger’s Medicinal Chemistry, Drug Discovery and Development can be used by graduate students seeking a one-stop reference for drug development and discovery and deserves its place in the libraries of biomedical research institutes, medical, pharmaceutical, and veterinary schools.