Download or read book In Silico Modeling of Drugs Against Coronaviruses written by Kunal Roy and published by . This book was released on 2021 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Coronavirus Drug Discovery written by Chukwuebuka Egbuna and published by Elsevier. This book was released on 2022-07-06 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book In Silico Models for Drug Discovery written by Sandhya Kortagere and published by Humana Press. This book was released on 2013-04-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infectious diseases caused by viruses, parasites, bacteria, and fungi are the number one cause of death worldwide. Although new technologies have improved diagnosis of infectious diseases, the efficacy of all known current anti-infective agents is threatened by the spread of drug-resistant forms of the pathogens. Hence, there remains an urgent need to develop anti-infective agents that target drug-resistant pathogens. In Silico Models for Drug Discovery presents a comprehensive look at the role in silico models play in understanding infectious diseases and in developing novel therapeutics to treat them. Written by leading experts in the field, chapters cover topics such as techniques to derive novel antimicrobial targets, methods of interpreting polypharmacology-based drug target networks, and molecular dynamics techniques used to compute binding energies of drugs to their target proteins, to name a few. Written in the successful Methods in Molecular BiologyTM series or in review article format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, In Silico Models for Drug Discovery seeks to serve both professionals and novices involved in the study and treatment of infectious diseases.
Download or read book Targeted Cancer Treatment in Silico written by Natalia L. Komarova and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, small molecule inhibitors, and oncolytic viruses. However, patterns of these treatments' effectiveness remain largely unclear, and a better understanding of how cancer therapies work has become a key research goal. Cancer Treatment in Silico provides the first in-depth study of approaching this understanding by modeling cancer treatments, both mathematically and through computer simulations. The main goal of this book is to help expose students and researchers to in silico methods of studying cancer. It is intended for both the applied mathematics and experimental oncology communities, as mathematical models are playing an increasingly important role to supplement laboratory biology in the fight against cancer. Written at a level that generally requires little technical background, the work will be a valuable resource for scientists and students alike.
Download or read book Coronavirus Replication and Reverse Genetics written by Luis Enjuanes and published by Springer Science & Business Media. This book was released on 2005-10-25 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human coronaviruses caused the SARS epidemic that infected more than 8000 people, killing about ten percent of them in 32 countries. This book provides essential information on these viruses and the development of vaccines to control coronavirus infections.
Download or read book Modeling Control and Drug Development for COVID 19 Outbreak Prevention written by Ahmad Taher Azar and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Drug Repurposing for COVID 19 Therapy written by Filippo Drago and published by Frontiers Media SA. This book was released on 2021-10-14 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Unsupervised Feature Extraction Applied to Bioinformatics written by Y-h. Taguchi and published by Springer Nature. This book was released on 2019-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features; Provides a fast algorithm, based upon linear algebra, to analyze big data; Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Download or read book Key Heterocycle Cores for Designing Multitargeting Molecules written by Om Silakari and published by Elsevier. This book was released on 2018-06-11 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key Heterocycle Cores for Designing Multitargeting Molecules provides a helpful overview of current developments in the field. Following a detailed introduction to the manipulation of heterocycle cores for the development of dual or multitargeting molecules, the book goes on to describe specific examples of such developments, focusing on compounds such as Benzimidazole, Acridine, Flavones, Thiazolidinedione and Oxazoline. Drawing on the latest developments in the field, this volume provides a valuable guide to current approaches in the design and development of molecules capable of acting on multiple targets. Adapting the heterocyclic core of a single-target molecule can facilitate its development into an agent capable of acting on multiple targets. Such multi-targeting drugs have the potential to become essential components in the design of novel, holistic treatment plans for complex diseases, making the design of such active agents an increasingly important area of research. Emphasizes the chemical development of heterocyclic nuclei, from single to multitargeting molecules Provides chapter-by-chapter coverage of the key heterocyclic compounds used in synthesizing multitargeting agents Outlines current trends and future developments in multitarget molecule design for the treatment of various diseases
Download or read book In Silico Methods for Drug Design and Discovery written by Simone Brogi and published by Frontiers Media SA. This book was released on 2020-10-09 with total page 504 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.
Download or read book Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach written by Aboul-Ella Hassanien and published by Springer. This book was released on 2020-10-13 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.
Download or read book Viral Proteases and Their Inhibitors written by Satya Prakash Gupta and published by Academic Press. This book was released on 2017-07-03 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Viral Proteases and Their Inhibitors provides a thorough examination of viral proteases from their molecular components, to therapeutic applications. As information on three dimensional structures and biological functions of these viral proteases become known, unexpected protein folds and unique mechanisms of proteolysis are realized. This book investigates how this facilitates the design and development of potent antiviral agents used against life-threatening viruses. Users will find descriptions of each virus that detail the structure and function of viral proteases, discuss the design and development of inhibitors, and analyze the structure-activity relationships of inhibitors. This book is ideal biochemists, virologists and those working on antiviral agents. Provides comprehensive, state-of-the-art coverage of virus infections, the virus lifecycle, and mechanisms of protease inhibition Analyzes structure-activity relationships of inhibitors of each viral protease Presents an in-depth view of the structure and function of viral proteases
Download or read book Drug Repurposing written by Farid A. Badria and published by BoD – Books on Demand. This book was released on 2020-12-02 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.
Download or read book Inhibition of Epstein Barr Virus Reactivation by the Flavonoid Apigenin written by Oceanside Oceanside Press and published by . This book was released on 2017-07-27 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lytic reactivation of EBV has been reported to play an important role in human diseases, including NPC carcinogenesis. Inhibition of EBV reactivation is considered to be of great benefit in the treatment of virus-associated diseases. For this purpose, we screened for inhibitory compounds and found that apigenin, a flavonoid, seemed to have the ability to inhibit EBV reactivation. Proceeds from the sale of this book go to support an elderly disabled person.
Download or read book Coronaviruses with Special Emphasis on First Insights Concerning SARS written by Axel Schmidt and published by Springer Science & Business Media. This book was released on 2005-02-17 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: -SARS has received much attention and coverage by the media and has a high impact on the public making this a hot research topic for scientists. -
Download or read book Applications of Artificial Intelligence in COVID 19 written by Sachi Nandan Mohanty and published by Springer. This book was released on 2022-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
Download or read book Data Science for COVID 19 Volume 1 written by Utku Kose and published by Elsevier. This book was released on 2021-05-25 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: On top of title page: "Biomedical engineering."
