Current Trends In Computational Modeling For Drug Discovery
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Current Trends In Computational Modeling For Drug Discovery
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Author : Supratik Kar
language : en
Publisher: Springer Nature
Release Date : 2023-06-30
Current Trends In Computational Modeling For Drug Discovery written by Supratik Kar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Science categories.
This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, databases, and tools employed in computer-aided drug design (CADD) covering diverse therapeutic classes. Multiple components of Structure-Based Drug Discovery (SBDD) along with its workflow and associated challenges are presented while potential leads for Alzheimer’s disease (AD), antiviral agents, anti-human immunodeficiency virus (HIV) drugs, and leads for Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) disease are discussed in detail. Computational toxicological aspects in drug design and discovery, screening adverse effects, and existing or future in silico tools are highlighted, while a novel in silico tool, RASAR, which can be a major technique for small to big datasets when not much experimental data are present, is presented. The book also introduces the reader to the major drug databases covering drug molecules, chemicals, therapeutic targets, metabolomics, and peptides, which are great resources for drug discovery employing drug repurposing, high throughput, and virtual screening. This volume is a great tool for graduates, researchers, academics, and industrial scientists working in the fields of cheminformatics, bioinformatics, computational biology, and chemistry.
Drug Discovery And Development
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Author : Vishwanath Gaitonde
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-03-11
Drug Discovery And Development written by Vishwanath Gaitonde 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 2020-03-11 with Medical categories.
The process of drug discovery and development is a complex multistage logistics project spanned over 10-15 years with an average budget exceeding 1 billion USD. Starting with target identification and synthesizing anywhere between 10k to 15k synthetic compounds to potentially obtain the final drug that reaches the market involves a complicated maze with multiple inter- and intra-operative fields. Topics described in this book emphasize the progresses in computational applications, pharmacokinetics advances, and molecular modeling developments. In addition the book also contains special topics describing target deorphaning in Mycobacterium tuberculosis, therapy treatment of some rare diseases, and developments in the pediatric drug discovery process.
Artificial Intelligence A Multidisciplinary Approach Towards Teaching And Learning
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Author : Tahmeena Khan
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-11-19
Artificial Intelligence A Multidisciplinary Approach Towards Teaching And Learning written by Tahmeena Khan and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Education categories.
Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy. Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices. Key Features: - Multidisciplinary exploration of AI in teaching and learning. - Practical tools and methodologies for educators. - Insights into AI-driven innovations in research. - Relevant to a broad audience, from students to professionals.
New Approach For Drug Repurposing Part A
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-05-24
New Approach For Drug Repurposing Part A written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Science categories.
New approach for drug repurposing represents drug discovery and development which is a tedious process that requires 10-15 years of time, investments up to $1-2 billion, and have high risk of failure to enter into market for clinical applications. As the drugs has to pass through number of developmental phase, the likelihood for a drug to be approved from phase I clinical trial to United States of Food and Drug Administration (USFDA) approval is less than 10%. More than 90% of drugs failed in due to toxicity, efficacy and clinical trials. Drug repurposing is one of the roadway to accelerating drug discovery and development for treating disease and thus to providing better quality of life. This volume covers an overview of drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, computational biology, system biology, artificial intelligence and machine learning for drug repurposing, target identification, target mining, high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration and intellectual property right of repurposed drug. This volume highlights a number of aspects of the drug repurposing that can help the basic understanding of students, researchers, clinicians, entrepreneurs, and stakeholders to perform their research with great interest. - To offer drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, - To offer computational biology, system biology, artificial intelligence and machine learning for drug repurposing, - To offer high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration
Applied Computer Aided Drug Design Models And Methods
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Author : Igor José dos Santos Nascimento
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-12-08
Applied Computer Aided Drug Design Models And Methods written by Igor José dos Santos Nascimento and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Science categories.
Designing and developing new drugs is an expensive and time-consuming process, and there is a need to discover new tools or approaches that can optimize this process. Applied Computer-Aided Drug Design: Models and Methods compiles information about the main advances in computational tools for discovering new drugs in a simple and accessible language for academic students to early career researchers. The book aims to help readers understand how to discover molecules with therapeutic potential by bringing essential information about the subject into one volume. Key Features · Presents the concepts and evolution of classical techniques, up to the use of modern methods based on computational chemistry in accessible format. · Gives a primer on structure- and ligand-based drug design and their predictive capacity to discover new drugs. · Explains theoretical fundamentals and applications of computer-aided drug design. · Focuses on a range of applications of the computations tools, such as molecular docking; molecular dynamics simulations; homology modeling, pharmacophore modeling, quantitative structure-activity relationships (QSAR), density functional theory (DFT), fragment-based drug design (FBDD), and free energy perturbation (FEP). · Includes scientific reference for advanced readers Readership Students, teachers and early career researchers.
Recent Advances In Computational Modelling Of Biomolecular Complexes
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Author : Zhongjie Liang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-03
Recent Advances In Computational Modelling Of Biomolecular Complexes written by Zhongjie Liang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-03 with Science categories.
Computational Modelling Of Nanomaterials
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Author : Panagiotis Grammatikopoulos
language : en
Publisher: Elsevier
Release Date : 2020-09-30
Computational Modelling Of Nanomaterials written by Panagiotis Grammatikopoulos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Technology & Engineering categories.
Due to their small size and their dependence on very fast phenomena, nanomaterials are ideal systems for computational modelling. This book provides an overview of various nanosystems classified by their dimensions: 0D (nanoparticles, QDs, etc.), 1D (nanowires, nanotubes), 2D (thin films, graphene, etc.), 3D (nanostructured bulk materials, devices). Fractal dimensions, such as nanoparticle agglomerates, percolating films and combinations of materials of different dimensionalities are also covered (e.g. epitaxial decoration of nanowires by nanoparticles, i.e. 0D+1D nanomaterials). For each class, the focus will be on growth, structure, and physical/chemical properties. The book presents a broad range of techniques, including density functional theory, molecular dynamics, non-equilibrium molecular dynamics, finite element modelling (FEM), numerical modelling and meso-scale modelling. The focus is on each method's relevance and suitability for the study of materials and phenomena in the nanoscale. This book is an important resource for understanding the mechanisms behind basic properties of nanomaterials, and the major techniques for computational modelling of nanomaterials. - Explores the major modelling techniques used for different classes of nanomaterial - Assesses the best modelling technique to use for each different type of nanomaterials - Discusses the challenges of using certain modelling techniques with specific nanomaterials
Molecular Modeling In Drug Design
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Author : Rebecca Wade
language : en
Publisher: MDPI
Release Date : 2019-03-26
Molecular Modeling In Drug Design written by Rebecca Wade and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-26 with Science categories.
Since the first attempts at structure-based drug design about four decades ago, molecular modelling techniques for drug design have developed enormously, along with the increasing computational power and structural and biological information of active compounds and potential target molecules. Nowadays, molecular modeling can be considered to be an integral component of the modern drug discovery and development toolbox. Nevertheless, there are still many methodological challenges to be overcome in the application of molecular modeling approaches to drug discovery. The eight original research and five review articles collected in this book provide a snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges. The topics covered include virtual screening and pharmacophore modelling, chemoinformatic applications of artificial intelligence and machine learning, molecular dynamics simulation and enhanced sampling to investigate contributions of molecular flexibility to drug–receptor interactions, the modeling of drug–receptor solvation, hydrogen bonding and polarization, and drug design against protein–protein interfaces and membrane protein receptors.
Natural Product Based Synthetic Drug Molecules In Alzheimer S Disease
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Author : Abha Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-12-15
Natural Product Based Synthetic Drug Molecules In Alzheimer S Disease written by Abha Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Science categories.
This book illustrates the importance of natural products as the source for the development of novel drugs for the treatment of neurodegenerative disorders, including Alzheimer's disease. It also highlights the role of reactive oxygen species and altered metal homeostasis in the progression of Alzheimer’s disease and examines the potential of antioxidants and anti-chelating agents in the clinical intervention of neurodegenerative diseases. The book also discusses the role of neuroinflammation in the pathogenesis of Alzheimer’s disease. The chapters provide information about the drug targets, progress in the development of natural product-based therapeutics, biomarkers, fluorescent diagnostic tools, and theranostic for Alzheimer's disease. The book also provides information about the design and synthesis of natural product-based derivatives against the various targets of Alzheimer's disease including epigenetic targets and the metal dyshomeostasis hypothesis. Cutting across different disciplines, this book is a valuable source for neuroscientists, chemical biologists, pharmaceutical researchers, and synthetic biologists.
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