Chemoinformatics And Bioinformatics In The Pharmaceutical Sciences

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Chemoinformatics And Bioinformatics In The Pharmaceutical Sciences

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Author : Navneet Sharma
language : en
Publisher: Academic Press
Release Date : 2021-05-21

Chemoinformatics And Bioinformatics In The Pharmaceutical Sciences written by Navneet Sharma and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-21 with Medical categories.

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. - Provides practical information on how to choose and use appropriate computational tools - Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format - Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics

Cheminformatics And Its Applications

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Author : Amalia Stefaniu
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-07-15

Cheminformatics And Its Applications written by Amalia Stefaniu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Medical categories.

Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowledge, connecting related fields such as chemistry, computer science, biology, pharmacology, physics, and mathematical statistics.The book is organized in two sections, including multiple aspects related to advances in the development of informatic tools and their specific use in compound structure databases with various applications in life sciences, mainly in medicinal chemistry, for identification and development of new therapeutically active molecules. The book covers aspects related to genomic analysis, semantic similarity, chemometrics, pattern recognition techniques, chemical reactivity prediction, drug-likeness assessment, bioavailability, biological target recognition, machine-based drug discovery and design. Results from various computational tools and methods are discussed in the context of new compound design and development, sharing promising opportunities, and perspectives.

Computational Approaches In Cheminformatics And Bioinformatics

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Author : Rajarshi Guha
language : en
Publisher: John Wiley & Sons
Release Date : 2012-01-04

Computational Approaches In Cheminformatics And Bioinformatics written by Rajarshi Guha and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-04 with Science categories.

A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future. Using algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks. Computational Approaches in Cheminformatics and Bioinformatics covers: Data sources available for modelling and prediction purposes Developments of conventional Quantitative Structure-Activity Relationships (QSAR) Computational tools for manipulating chemical and biological data Novel ways of probing the interactions between small molecules and proteins Also including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.

Structural Bioinformatics Applications In Preclinical Drug Discovery Process

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Author : C. Gopi Mohan
language : en
Publisher: Springer
Release Date : 2019-01-10

Structural Bioinformatics Applications In Preclinical Drug Discovery Process written by C. Gopi Mohan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-10 with Science categories.

This book reviews the advances and challenges of structure-based drug design in the preclinical drug discovery process, addressing various diseases, including malaria, tuberculosis and cancer. Written by internationally recognized researchers, this edited book discusses how the application of the various in-silico techniques, such as molecular docking, virtual screening, pharmacophore modeling, molecular dynamics simulations, and residue interaction networks offers insights into pharmacologically active novel molecular entities. It presents a clear concept of the molecular mechanism of different drug targets and explores methods to help understand drug resistance. In addition, it includes chapters dedicated to natural-product- derived medicines, combinatorial drug discovery, the CryoEM technique for structure-based drug design and big data in drug discovery. The book offers an invaluable resource for graduate and postgraduate students, as well as forresearchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.

Artificial Intelligence And Machine Learning In Drug Design And Development

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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21

Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

Pharmaceutical Sciences Breakthroughs In Research And Practice

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-12-28

Pharmaceutical Sciences Breakthroughs In Research And Practice written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-28 with Medical categories.

The delivery of optimal pharmaceutical services to patients is a pivotal concern in the healthcare field. By examining current trends and techniques in the industry, processes can be maintained and improved. Pharmaceutical Sciences: Breakthroughs in Research and Practice provides comprehensive coverage of the latest innovations and advancements for pharmaceutical applications. Focusing on emerging drug development techniques and drug delivery for improved health outcomes, this book is ideally designed for medical professionals, pharmacists, researchers, academics, and upper-level students within the growing pharmaceutical industry.

Computational Drug Discovery

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Author : Pooja A. Chawla
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-10-07

Computational Drug Discovery written by Pooja A. Chawla and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Science categories.

Computational methods and understanding computational models are important in modern drug discovery. The book focuses on computational approaches that can improve the development of in silico methodologies. It includes lead hit methods, docking algorithms, computational chiral compounds, structure-based drug design, GROMACS and NAMD, structural genomics, toxicity prediction, enzyme inhibitors and peptidomimetic therapeutics

Recent Advances In Pharmaceutical Innovation And Research

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Author : Prati Pal Singh
language : en
Publisher: Springer Nature
Release Date : 2023-09-11

Recent Advances In Pharmaceutical Innovation And Research written by Prati Pal Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-11 with Medical categories.

This book covers several important aspects of pharmaceutical research and innovations. It presents important topics on drug delivery, novel microsponge, nanocrystals, polymeric nanoparticles, peptide synthesis, biopharmaceuticals, pharmacodynamics, yeast flocculation, neuromodulators, innovative drug discovery, pharmacoinformatics, aminoquinoline, thiourea crystals for API synthesis, FDCs and formulations research, ayurveda and natural products, and innovations to militate anti-microbial resistance (AMR). A chapter is devoted to the applications of Artificial Intelligence and Machine Learning in diverse sectors of the pharmaceutical industry, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. The book also reviews the role of pharmacogenomics and pharmacogenetics in drug development and precision medicine. Further, the book presents an updated summary of recent advances in the fields of nanomedicines and nano-based drug delivery systems. This book is useful to pharmaceutical sciences students, researchers, educators, and professionals in the pharmaceutical industry to understand the intricacies of new drug research and innovations.

Stem Cells

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Author : Yogesh Kumar Verma
language : en
Publisher: Elsevier
Release Date : 2023-11-29

Stem Cells written by Yogesh Kumar Verma and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Science categories.

Stem Cells: An Alternative Therapy for COVID-19 and Cytokine Storm provides mechanistic insights into the role of stem cells to combat COVID-19 outbreak and other pathologies where cytokines storm is the cause of concern for e.g., radiation exposure, multiple organ failure and sepsis. There has been an increase in number of cases of new diseases in the last decade, including mucormycosis, Zika virus, H1N1 influenza virus, among others. These diseases can be characterized by the induction of cytokine storm, which is mainly responsible for morbidity and mortality.Stem cell therapy has emerged as a potential treatment for viral diseases, including, but not limited to, COVID-19. Interestingly, clinical trials in patients with COVID-19 complications depicted faster recovery in patients post mesenchymal stem cells therapy owing to the decreased cytokines levels, anti-viral effects and regeneration of the infected tissue. - Evaluates the role of MSCs to combat cytokine storm, the challenges regarding COVID-19 therapy and how they can be countered using stem cells, and the risk of opportunistic infections post COVID-19 - Presents how stem cell therapy has emerged as a potential treatment for viral diseases, including, but not limited to, COVID-19 - Provides a detailed understanding of the novel coronavirus, with an emphasis on therapeutic aspects

Converging Pharmacy Science And Engineering In Computational Drug Discovery

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Author : Tripathi, Rati Kailash Prasad
language : en
Publisher: IGI Global
Release Date : 2024-04-22

Converging Pharmacy Science And Engineering In Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Medical categories.

The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.