Computational Methods In Drug Discovery And Repurposing For Cancer Therapy, Nagaraju,Ganji Purnachand
Название: Drug Repurposing and Computational Drug Discovery ISBN: 1774912775 ISBN-13(EAN): 9781774912775 Издательство: Taylor&Francis Рейтинг: Цена: 22509.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drug repurposing (or drug repositioning) is defined as the process of identifying new pharmacological indications of old, existing, investigational, or FDA-approved drugs for use in the treatment of diseases other than the drugs' original intended therapeutic use. Drug Repurposing: Advances, Scopes and Opportunities in Drug Discovery delivers up-to-date information on the identification of newer uses, molecular mechanisms, and novel targets of existing drug candidates through the application of various experimental, biophysical, and computational approaches and techniques. Chapters discuss recent advances in drug repurposing strategies that are currently being used in the discovery and development of drugs against difficult-to-treat, rare, and life-threatening diseases, including microbial infections, COVID-19, parasitic diseases, cardiovascular diseases, neurological disorders, and cancer. The book also discusses the modern experimental assays (HTS) and computational techniques including informatics and databases, molecular docking and dynamics, artificial intelligence and machine learning, virtual screening and pharmacophore modelling, proteomics and metabolomics, and network pharmacology and systems biology approaches. Some of the key features of the book are:
Presents the strategies available for the development of drugs by drug repurposing approaches through various experimental and computational techniques for the treatment of difficult-to-treat, rare, and deadly diseases.
Summarises the latest advances in the application of drug repurposing strategies, techniques, and approaches in the discovery and development of drugs.
Depicts drug development approaches from existing drug candidates and/or lead molecules through modern experimental assays, biophysical tools, and computational techniques.
Written by a global team of experts, this book is useful for drug discovery scientists, drug developers, medicinal chemists, phytochemists, pharmacologists, clinicians, biochemists, biomedical scientists, healthcare professionals, researchers, teaching faculty, and students.
Автор: Cavalla David Название: Drug Repurposing ISBN: 1788019032 ISBN-13(EAN): 9781788019033 Издательство: Royal Society of Chemistry Рейтинг: Цена: 45923.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drug Repurposing provides an ideal introduction to the field of drug repositioning and repurposing with contributions from world-renowned experts culminating in an excellent resource for any drug discovery or medicinal chemist.
Описание: This book presents drug repurposing strategies to combat infectious diseases and cancer. It discusses key experimental and in silico approaches for modern drug repositioning, including signature matching, molecular docking, genome-wide associated studies, and network-based approaches aided by artificial intelligence. Further, the book presents various computational and experimental strategies for better understanding disease mechanisms and identify repurposed drug candidates for personalized pharmacotherapy. It also explores the databases for drug repositioning, summarizes the approaches taken for drug repositioning, and highlights and compares their characteristics and challenges. Towards the end, the book discusses challenges and limitations encountered in computational drug repositioning.
Автор: Roy, Kunal Название: In Silico Drug Design ISBN: 0128161256 ISBN-13(EAN): 9780128161258 Издательство: Elsevier Science Рейтинг: Цена: 23075.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In Silico Drug Design: Repurposing Techniques and Methodologies explores the application of computational tools that can be utilized for this approach. The book covers theoretical background and methodologies of chem-bioinformatic techniques and network modeling and discusses the various applied strategies to systematically retrieve, integrate and analyze datasets from diverse sources. Other topics include in silico drug design methods, computational workflows for drug repurposing, and network-based in silico screening for drug efficacy. With contributions from experts in the field and the inclusion of practical case studies, this book gives scientists, researchers and R&D professionals in the pharmaceutical industry valuable insights into drug design.
Discusses the theoretical background and methodologies of useful techniques of cheminformatics and bioinformatics that can be applied for drug repurposing
Offers case studies relating to the in silico modeling of FDA-approved drugs for the discovery of antifungal, anticancer, antiplatelet agents, and for drug therapies against diseases
Covers tools and databases that can be utilized to facilitate in silico methods for drug repurposing
ICU specialist Dr. Pierre Kory told the US Senate and the world about the lifesaving repurposed drug, Ivermectin, on December 8, 2021. He called it the solution to the Pandemic. Originally FDA approved to treat parasites; Ivermectin has shown incredible effectiveness against COVID-19. Many people, including actor Louis Gossett Jr or grandmother Judith Smentkiewicz, report rapid turnarounds even from the brink of death.
Dr. Martin Gill says Ivermectin is more effective than any other drug against COVID-19. "I think there is enough evidence now to say this is the drug we have been waiting for. I've been using it literally since April with really spectacular results."
- It is nearly 100% effective at prevention. Dr. Kory notes, "If you take it, you will not get sick." However, its most profound benefits are in hospitalized patients, where it can save even the sickest patients on ventilators.
Perhaps most intriguing is that Ivermectin seems to help prevent the "Long Hauler's Syndrome." This refers to a group of COVID survivors who have long-term problems with lung scarring, shortness of breath or clotting disorders.
- One has to ask the question that if Ivermectin is so effective, then why is it not in widespread use in the US?
The answer is the elephant in the room, and Dr. Kory says he is "severely troubled" by the fact the NIH, the FDA, and the CDC have not reviewed repurposed drugs in an attempt to treat this disease. And that everything has been about expensive and pharmacologically-engineered drugs.
- The problem is that repurposed drugs are not patentable, and therefore are cheap and unprofitable. There is no incentive to study them.
It is revealing that many physicians and privileged scientists in the know already take advantage of repurposed drugs to treat and even cure their own terminal cancers. In the book, Dr. Justus R. Hope describes their stories and how they did it, and how non-physicians can do the same.
- "It is tragically unfair that most people never hear about repurposed drugs."
Dr. Hope aims to change that by making repurposed drugs a household name. "Repurposed drugs in my opinion should be offered in all cases of terminal cancer. They also should have been added long ago as cancer preventative agents."
- In this book, Dr. Hope discusses lifesaving repurposed drugs and supplements that work not just against COVID-19 but against terminal cancer. Specific combinations are reviewed along with referenced studies and supporting scientific evidence.
Originally written to help his friend survive brain cancer, this book is an excellent scientific reference for anyone seeking to find innovative solutions for preventing and treating cancers, viruses, and diseases. It contains an Appendix of 310 repurposed drugs, an Informed Consent Form for your doctor to prescribe them, and resources for patients seeking additional help and information.
The book has been praised by cancer researchers: "I consider this a great work." -Marc-Eric Halatsch, MD, PhD, Head of Brain Tumor Research, Ulm University Hospital, Ulm, Germany
Описание: How does a trained physician beat terminal cancer when he, himself, gets it?
- The answer will both shock and surprise you, as it is often NOT the same treatment that physicians prescribe for their patients.
- Dr. Hope takes you through successful survival stories of doctor after doctor - and he explains how they did it - how they conquered their own terminal cancers.
- This book explains in easy-to-understand words the science behind repurposed drugs, commonly used pills already in your medicine cabinet that can kill cancer stem cells, the roots of cancer. Cancer stem cells are STIMULATED to REGROW and SPREAD and create resistance by standard treatments of chemotherapy, surgery, and radiation - THIS is the reason "cancers return and kill patients almost half the time."
- There are ways to stop cancer stem cells and he explains them in the book.
Dr. Hope wrote this book to help save his friend's life from Glioblastoma, the most aggressive form of brain cancer. But it can also help anyone suffering from terminal cancer. He now shares all of what he found with you:
- Which repurposed drug cocktails to add
- Which diet changes to make
- Which exercises to do
- Which supplements to add
- About IV Vitamin C
- About Fasting
- About IV Vitamin D
All of this is supported by MAINSTREAM SCIENCE.
- The book has been praised by cancer researchers around the world:
- "I consider this a great work." by Marc-Eric Halatsch, MD, PhD, Head, Brain Tumor Research, Ulm University Hospital
- "This is a monumental treatise which should educate and inform...and be of immense benefit to patients with cancer..." George Fareed, MD. Former Assistant Professor Harvard Medical School, Soma Weiss Award for DNA Research
- "This book is an important resource for all cancer patients." Ben Williams PhD, 25 year survivor of Glioblastoma and Professor Emeritus at UC San Diego
This book was written specifically for Dr. Hope's colleague of 30 years to help save him from terminal brain cancer. It can offer ADDITIONAL strategies that can make the difference for anyone suffering from terminal cancer.
"This book should be required reading for all patients when they start chemotherapy." Justus Hope, M.D.
BONUS MATERIAL
An Informed Consent Form for your doctor to provide when requesting repurposed drug prescriptions
A listing of 310 different off-label FDA-approved drugs that have anti-tumor effects
A section on Repurposed Drugs that are effective against the Coronavirus
The famous "Open Letter to Dr. Anthony Fauci" authored by Harvard-trained Dr. George Fareed and discussed in the news
Автор: Alexander Heifetz Название: Computational Methods for GPCR Drug Discovery ISBN: 1493974645 ISBN-13(EAN): 9781493974641 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume looks at modern computational strategies and techniques used in GPCR drug discovery including structure and ligand-based approaches and cheminformatics.
Автор: Gore Название: Computational Drug Discovery and Design ISBN: 1071634402 ISBN-13(EAN): 9781071634400 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition provides new and updated methods and techniques for identification of drug target, binding sites prediction, high- throughput virtual screening, lead discovery and optimization, conformational sampling, prediction of pharmacokinetic properties using computer-based methodologies. Chapters also focus on the application of the latest artificial intelligence technologies for computer aided drug discovery. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Drug Discovery and Design, Second Edition aims to effectively utilize computational methodologies in discovery and design of novel drugs.
Автор: Riccardo Baron Название: Computational Drug Discovery and Design ISBN: 1493962272 ISBN-13(EAN): 9781493962273 Издательство: Springer Рейтинг: Цена: 18904.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to the rapid and steady growth of available low-cost computer power, the use of computers for discovering and designing new drugs is becoming a central topic in modern molecular biology and medicinal chemistry. In Computational Drug Discovery and Design: Methods and Protocols expert researchers in the field provide key techniques to investigate biomedical applications for drug developments based on computational chemistry. These include methods and techniques from binding sites prediction to the accurate inclusion of solvent and entropic effects, from high-throughput screening of large compound databases to the expanding area of protein-protein inhibition, toward quantitative free-energy approaches in ensemble-based drug design using distributed computing. Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, reference to software and open source analysis tools, step-by-step, readily reproducible computational protocols, and key tips on troubleshooting and avoiding known pitfalls. Thorough and intuitive, Computational Drug Discovery and Design: Methods and Protocols aids scientists in the continuing study of state-of-the-art concepts and computer-based methodologies.
Автор: Gore Название: Computational Drug Discovery and Design ISBN: 1493977555 ISBN-13(EAN): 9781493977550 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume details methods and techniques for identification of drug targets, binding sites prediction, high-throughput virtual screening,and prediction of pharmacokinetic properties using computer based methodologies. Chapters guide readers through techniques of the available computational tools, developing prediction models for drug target prediction and de novo design of ligands, structure based drug designing, fragment-based drug designing, molecular docking, and scoring functions for assessing protein-ligand docking protocols. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Computational Drug Discovery and Design aims to provide protocols for the use of bioinformatics tools in drug discovery and design.
Автор: MacCuish, John David , MacCuish, Norah E. Название: Clustering in Bioinformatics and Drug Discovery ISBN: 1138374237 ISBN-13(EAN): 9781138374232 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.
Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization.
This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested.
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