In Silico Modeling Of Drugs Against Coronaviruses

Author : Kunal Roy
Publisher :
ISBN 13 : 9781071613665
Total Pages : 788 pages
Book Rating : 4.69/5 ( download)

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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.

Author : Chukwuebuka Egbuna
Publisher : Elsevier
ISBN 13 : 0323955797
Total Pages : 408 pages
Book Rating : 4.99/5 ( download)

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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

Author : Sandhya Kortagere
Publisher : Humana Press
ISBN 13 : 9781627033411
Total Pages : 0 pages
Book Rating : 4.16/5 ( download)

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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.

Author : Y-h. Taguchi
Publisher : Springer Nature
ISBN 13 : 3030224562
Total Pages : 321 pages
Book Rating : 4.61/5 ( download)

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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.

Author : Simone Brogi
Publisher : Frontiers Media SA
ISBN 13 : 2889660575
Total Pages : 504 pages
Book Rating : 4.75/5 ( download)

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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.

Author : Luis Enjuanes
Publisher : Springer Science & Business Media
ISBN 13 : 9783540214946
Total Pages : 278 pages
Book Rating : 4.41/5 ( download)

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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 2004-10-05 with total page 278 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.

Author : Om Silakari
Publisher : Elsevier
ISBN 13 : 0081021054
Total Pages : 436 pages
Book Rating : 4.57/5 ( download)

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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

Author : Valerie Daggett
Publisher : Elsevier
ISBN 13 : 0080493785
Total Pages : 477 pages
Book Rating : 4.87/5 ( download)

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Download or read book Protein Simulations written by Valerie Daggett and published by Elsevier. This book was released on 2003-11-26 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein Simulation focuses on predicting how protein will act in vivo. These studies use computer analysis, computer modeling, and statistical probability to predict protein function. * Force Fields* Ligand Binding* Protein Membrane Simulation* Enzyme Dynamics* Protein Folding and unfolding simulations

Author : Farid A. Badria
Publisher : BoD – Books on Demand
ISBN 13 : 1839685204
Total Pages : 236 pages
Book Rating : 4.00/5 ( download)

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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.

Author : Filippo Drago
Publisher : Frontiers Media SA
ISBN 13 : 2889714853
Total Pages : 588 pages
Book Rating : 4.58/5 ( download)

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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: