Computational Approaches In Drug Discovery Development And Systems Pharmacology
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Computational Approaches in Drug Discovery, Development and Systems Pharmacology
- Author : Rupesh Kumar Gautam,Mohammad Amjad Kama,Pooja Mittal
- Publisher : Elsevier
- Release Date : 2023-02-01
- Total pages : 364
- ISBN : 9780323993739
- File Size : 47,5 Mb
- Total Download : 194
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Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases
Physico-chemical and Computational Approaches to Drug Discovery
- Author : Javier Luque,Xavier Barril
- Publisher : Royal Society of Chemistry
- Release Date : 2012
- Total pages : 443
- ISBN : 9781849733533
- File Size : 13,7 Mb
- Total Download : 332
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This title covers a wide range of topics relevant to the development of drugs. It provides a comprehensive description of the major methodological strategies available for rational drug discovery.
Computational Systems Pharmacology and Toxicology
- Author : Rudy J Richardson,Dale E Johnson
- Publisher : Royal Society of Chemistry
- Release Date : 2017-03-03
- Total pages : 348
- ISBN : 9781782623328
- File Size : 34,6 Mb
- Total Download : 569
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The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment. This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics. This book will be useful for scientists involved in environmental research and risk assessment. It will be a valuable resource for postgraduate students and researchers wishing to learn about key methods used in studying biological targets both from a toxicity and pharmacological activity standpoint.
Systems Biology in Drug Discovery and Development
- Author : Daniel L. Young,Seth Michelson
- Publisher : John Wiley & Sons
- Release Date : 2011-09-23
- Total pages : 376
- ISBN : 9781118016428
- File Size : 20,6 Mb
- Total Download : 143
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The first book to focus on comprehensive systems biology as applied to drug discovery and development Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries. The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of all phases of discovery and design, including target identification and validation, lead identification and optimization, and clinical trial design and execution, as well as the complementary systems approaches that make these processes more efficient. It also provides models for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker identification. Introducing and explaining key methods and technical approaches to the use of comprehensive systems biology on drug development, the book addresses the challenges currently facing the pharmaceutical industry. As a result, it is essential reading for pharmaceutical and biotech scientists, pharmacologists, computational modelers, bioinformaticians, and graduate students in systems biology, pharmaceutical science, and other related fields.
Bioinformatics and Computational Biology in Drug Discovery and Development
- Author : William T. Loging
- Publisher : Cambridge University Press
- Release Date : 2016-03-17
- Total pages : 255
- ISBN : 9780521768009
- File Size : 50,5 Mb
- Total Download : 486
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A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.
Computational Approaches
- Author : Anna Maria Almerico,Marco Tutone
- Publisher : Mdpi AG
- Release Date : 2022-01-03
- Total pages : 414
- ISBN : 3036527796
- File Size : 43,6 Mb
- Total Download : 209
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This book is a collection of original research articles in the field of computer-aided drug design. It reports the use of current and validated computational approaches applied to drug discovery as well as the development of new computational tools to identify new and more potent drugs.
Computer-Aided Drug Design
- Author : Dev Bukhsh Singh
- Publisher : Springer Nature
- Release Date : 2020-10-09
- Total pages : 306
- ISBN : 9789811568152
- File Size : 44,7 Mb
- Total Download : 917
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This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.
Molecular Docking for Computer-Aided Drug Design
- Author : S. Mohane Coumar
- Publisher : Academic Press
- Release Date : 2021-02-17
- Total pages : 520
- ISBN : 9780128223130
- File Size : 23,6 Mb
- Total Download : 300
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Molecular Docking for Computer-Aided Drug Design: Fundamentals, Techniques, Resources and Applications offers in-depth coverage on the use of molecular docking for drug design. The book is divided into three main sections that cover basic techniques, tools, web servers and applications. It is an essential reference for students and researchers involved in drug design and discovery. Covers the latest information and state-of-the-art trends in structure-based drug design methodologies Includes case studies that complement learning Consolidates fundamental concepts and current practice of molecular docking into one convenient resource
Systems Pharmacology and Pharmacodynamics
- Author : Donald E. Mager,Holly H.C. Kimko
- Publisher : Springer
- Release Date : 2016-11-29
- Total pages : 511
- ISBN : 9783319445342
- File Size : 42,9 Mb
- Total Download : 492
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While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.
Drug Efficacy, Safety, and Biologics Discovery
- Author : Sean Ekins,Jinghai J. Xu
- Publisher : John Wiley & Sons
- Release Date : 2009-01-28
- Total pages : 400
- ISBN : 9780470431801
- File Size : 43,5 Mb
- Total Download : 674
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Drug Efficacy, Safety, and Biologics Discovery: Emerging Technologies and Tools covers key emerging technologies in pharmaceutical R & D and how they have substantially impacted (or are currently impacting) drug discovery. The cross-disciplinary collaborations implicit in integrating these technologies with drug discovery operations will fuel the engine for future innovations. This book cuts across the multiple areas of drug discovery, each chapter authored by pioneers in that field, making for a broad appeal to the chemical and biological scientists and technologists involved in drug discovery and development.
Drug Design Strategies
- Author : David J. Livingstone,Andrew M. Davis
- Publisher : Royal Society of Chemistry
- Release Date : 2011
- Total pages : 529
- ISBN : 9781849731669
- File Size : 47,7 Mb
- Total Download : 254
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Shows how different parts of the drug discovery process have developed, with particular emphasis on quantitative aspects and possible future progress.
Computational Approaches in Drug Discovery and Precision Medicine
- Author : Zunnan Huang,Xiao Jun Yao,Ruo-Xu Gu
- Publisher : Frontiers Media SA
- Release Date : 2021-03-15
- Total pages : 135
- ISBN : 9782889666010
- File Size : 9,7 Mb
- Total Download : 587
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PDF book entitled Computational Approaches in Drug Discovery and Precision Medicine written by Zunnan Huang,Xiao Jun Yao,Ruo-Xu Gu and published by Frontiers Media SA which was released on 2021-03-15 with total hardcover pages 135, the book become popular and critical acclaim.
Bioinformatics Techniques for Drug Discovery
- Author : Aman Chandra Kaushik,Ajay Kumar,Shiv Bharadwaj,Ravi Chaudhary,Shakti Sahi
- Publisher : Springer
- Release Date : 2018-04-25
- Total pages : 57
- ISBN : 9783319757322
- File Size : 28,9 Mb
- Total Download : 671
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The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand−receptor and ligand−enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics.
Computational and Experimental Approaches in Multi-target Pharmacology
- Author : Thomas J. Anastasio
- Publisher : Frontiers Media SA
- Release Date : 2017-08-24
- Total pages : 124
- ISBN : 9782889452521
- File Size : 48,8 Mb
- Total Download : 239
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The next frontier in pharmacology is the development of multi-target strategies in which pathological processes are controlled by pharmacologically manipulating them at many different points at once. Designing multi-target strategies will require deep understanding of the complex physiology that underlies pathological processes. It will also require the development of single drugs with multiple targets, or combinations of drugs with compatible pharmacokinetics that work synergistically to maximize desirable effects while minimizing unwanted side effects. This e-Book contains ten original articles, each addressing a different aspect of this challenge. Together they open new perspectives and show the way forward in the development of multi-target therapeutics.
Phytochemistry, Computational Tools, and Databases in Drug Discovery
- Author : Chukwuebuka Egbuna,Mithun Rudrapal,Habibu Tijjani
- Publisher : Elsevier
- Release Date : 2022-12-09
- Total pages : 494
- ISBN : 9780323907163
- File Size : 51,8 Mb
- Total Download : 387
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Phytochemistry, Computational Tools and Databases in Drug Discovery presents the state-of-the-art in computational methods and techniques for drug discovery studies from medicinal plants. Various tools and databases for virtual screening and characterization of plant bioactive compounds and their subsequent predictions on biological targets for the discovery of new drugs against specific diseases are presented, along with computational tools for the prediction of the toxic effects of phytochemicals on living systems. The book also provides in-depth insight on the applications of these computational tools as well as the databases that describe the interactions of phytochemicals with diseases along with predictions for druggable bioactive compounds. Useful for drug developers, medicinal chemists, toxicologists, phytochemists, plant biochemists and analytical chemists, this book clearly presents the various computational techniques, tools and databases for phytochemical research. Provides the various databases, methods and procedures for computational drug discovery in plants Includes insights into the predictors for properties of phytochemicals against different diseases Discusses the applications of computational tools and their databases
Predictive Approaches in Drug Discovery and Development
- Author : J. Andrew Williams,Richard Lalonde,Jeffrey R. Koup,David D. Christ
- Publisher : John Wiley & Sons
- Release Date : 2012-04-10
- Total pages : 407
- ISBN : 9780470170830
- File Size : 31,5 Mb
- Total Download : 525
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Practical Utility of Biomarkers in Drug Discovery and Development covers all aspects of biomarker research applied to drug discovery and development and contains state-of-the-art appraisals on the practical utility of genomic, biochemical, and protein biomarkers. Case histories and lessons from successful and unsuccessful applications of biomarkers are included along with key chapters on GLP validation, safety biomarkers and proteomics biomarkers. Regulatory agency perspectives and initiatives both in the US and internationally are also discussed.
Network Pharmacology
- Author : Shao Li
- Publisher : Springer Nature
- Release Date : 2021-09-29
- Total pages : 480
- ISBN : 9789811607530
- File Size : 15,8 Mb
- Total Download : 693
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This book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used. In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied. This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.
Computational Pharmaceutics
- Author : Defang Ouyang,Sean C. Smith
- Publisher : John Wiley & Sons
- Release Date : 2015-07-20
- Total pages : 350
- ISBN : 9781118573990
- File Size : 52,7 Mb
- Total Download : 393
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Molecular modeling techniques have been widely used in drug discovery fields for rational drug design and compound screening. Now these techniques are used to model or mimic the behavior of molecules, and help us study formulation at the molecular level. Computational pharmaceutics enables us to understand the mechanism of drug delivery, and to develop new drug delivery systems. The book discusses the modeling of different drug delivery systems, including cyclodextrins, solid dispersions, polymorphism prediction, dendrimer-based delivery systems, surfactant-based micelle, polymeric drug delivery systems, liposome, protein/peptide formulations, non-viral gene delivery systems, drug-protein binding, silica nanoparticles, carbon nanotube-based drug delivery systems, diamond nanoparticles and layered double hydroxides (LDHs) drug delivery systems. Although there are a number of existing books about rational drug design with molecular modeling techniques, these techniques still look mysterious and daunting for pharmaceutical scientists. This book fills the gap between pharmaceutics and molecular modeling, and presents a systematic and overall introduction to computational pharmaceutics. It covers all introductory, advanced and specialist levels. It provides a totally different perspective to pharmaceutical scientists, and will greatly facilitate the development of pharmaceutics. It also helps computational chemists to look for the important questions in the drug delivery field. This book is included in the Advances in Pharmaceutical Technology book series.
Computer Aided Pharmaceutics and Drug Delivery
- Author : Vikas Anand Saharan
- Publisher : Springer Nature
- Release Date : 2022-05-30
- Total pages : 762
- ISBN : 9789811651809
- File Size : 53,9 Mb
- Total Download : 305
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This book examines the role of computer-assisted techniques for discovering, designing, optimizing and manufacturing new, effective, and safe pharmaceutical formulations and drug delivery systems. The book discusses computational approaches, statistical modeling and molecular modeling for the development and safe delivery of drugs in humans. The application of concepts of QbD (Quality by Design), DoE (Design of Experiments), artificial intelligence and in silico pharmacokinetic assessment/simulation have been made a lot easier with the help of commercial software and expert systems. This title provides in-depth knowledge of such useful software with illustrations from the latest researches. The book also fills in the gap between pharmaceutics and molecular modeling at micro, meso and maro scale by covering topics such as advancements in computer-aided Drug Design (CADD), drug-polymer interactions in drug delivery systems, molecular modeling of nanoparticles and pharmaceutics/bioinformatics. This book provides abundant applications of computers in formulation designing and characterization are provided as examples, case studies and illustrations. Short reviews of software, databases and expert systems have also been added to culminate the interest of readers for novel applications in formulation development and drug delivery. Computer-aided pharmaceutics and drug delivery is an authoritative reference source for all the latest scholarly update on emerging developments in computed assisted techniques for drug designing and development. The book is ideally designed for pharmacists, medical practitioners, students and researchers.
Current Methods In Medicinal Chemistry And Biological Physics

- Author : Carlton A. Taft
- Publisher : Unknown
- Release Date : 2008-01-01
- Total pages : 247
- ISBN : 8130802929
- File Size : 44,9 Mb
- Total Download : 467
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This book is aimed at, from students to advanced researchers, for anyone that is interested or works with current experimental and theoretical methods in medicinal chemistry and biological physics, with particular interest in chemoinformatics, bioinformatics, molecular modeling, QSAR, spectrometry, molecular biology and combinatorial chemistry for many therapeutic purposes. This book attempts to convey something of the fascination of working in these multidisciplinar areas, which overlap knowledge of chemistry, physics, biochemistry, biology and pharmacology. This second volume, in particular, contains 11 chapters, of which 6 are related to theoretical methods in medicinal chemistry and at least 5 deal with experimental/mixed methods. In the modern computational medicinal chemistry, quantum mechanics (QM) plays an important role since the associated methods can describe molecular energies, bond breaking or forming, charge transfer and polarization effects. Historically in drug design, QM ligand-based applications were devoted to investigations of electronic features, and they have also been routinely used in the development of quantum descriptors in quantitative structure-activity relationships (QSAR) approaches. In chapter 1, we present an overview of the state-of-the-art of quantum methods currently used in medicinal chemistry. Molecular Dynamics (MD) simulation is a sophisticated molecular modeling technique useful to describe molecular structures and macroscopic properties in very large molecular systems comprising hundreds or even thousands of atoms. In the field of drug discovery, MD simulation has been widely used to understand the biomolecule structure, drug and biomolecule interactions. The chapter 2 outlines the theory and practical details of MD approach and focuses on its application in studies of prediction of binding affinities for putative receptor-ligand complexes. In chapter 3 we discuss the important role of the homology modeling procedure in the drug discovery process. This strategy, associated with computational power and more sophisticated and robust algorithms, has been used to predict properties, energies, conformations and support the binding modes of ligands inside their receptor sites. This approach is vital in structure-based drug design (SBBD), since it can quickly predict the tertiary structure of the target whose structure has not been experimentally solved. In drug discovery research, a massive dataset of information is involved and the high throughput screening of typically millions of compounds plays an important role. Different docking protocols can be combined in order to predict binding models and affinities of a ligand with a target receptor, selecting as example the best drug-like compound candidates to further experimental assays, leading to a reduction in the time and cost of the drug discovery process. In the chapter 4, we discuss the general basis and aspects of this approach, presenting some successful cases in drug discovery. Structure-based approaches have increasingly demonstrated their value in drug design. The impact of these technologies on early discovery and lead optimization is significant. Although there is a multiplicity of different approaches being employed in early stages of drug discovery, structure-based drug design (SBDD) is one of the most powerful techniques, and has been used quite frequently by scientists in the pharmaceutical industry as well as in academic laboratories over the past twenty years. The evolution of medicinal chemistry has resulted in an increase in the number of successful applications of structure-based approaches. Some case studies are presented in chapter 5, exploring the value of structure-based virtual screening (SBVS) approaches in drug design, highlighting the identification of novel, potent and selective receptor modulators with drug like properties. Drug discovery has moved toward more rational strategies based on our increasing understanding of the fundamental principles of protein-ligand interactions. The combination of available knowledge of several 3D protein structures with hundreds of thousands of commercially available small molecules has attracted the attention of scientists from all over the world for the application of structure-based pharmacophore strategies. Pharmacophore approaches offer timely and cost-effective ways to identify new drug-like ligands for a variety of biological targets, and their utility in drug design is unquestionable. In the chapter 6, the understanding and limitations of this approach in drug R&D are discussed. Modern molecular biology has inundated drug discovery organizations with countless potential novel drug targets. A foremost challenge for the researchers is to validate this asset of targets with bioactive small molecules (bioproducts can also be included). Eventually, they will be developed into drugs for the more promising targets. The difficulty of finding a good small-molecule starting point is at the beginning of the searching for a proper chemical space that is well related to biological space. Drugs that are small molecules and act at enzyme targets account for over 50% of all medicines in therapeutically use in the marketplace. It is for this reason that chapter 7 take thermodynamics of the small molecule-target enzyme interactions into account to a limited scope. So far, the main purpose of this chapter is to provide a guidance profile of biocalorimetry and its role in drug discovery and development. The chapter 8 intends to describe how proteomes can be analyzed and studied. It addresses some available databases and bioinformatics tools. The description of certain instrumentation, such as mass spectrometry is also presented, but not highly detailed. The aim of chapter 9 is to introduce the reader to the wide spectrum of tools currently available in the drug validation process. With the conclusion of the human genome sequencing, an increase demand for target validation follows the development of high throughput techniques used in the identification of potential new drugs. In vitro technology as the RNA interference (RNAi) and recombinant protein array together with advances on the in vivo technology as the development of transgenic animals, including here the humanized ones, will certainly improve the safety of future clinical trials processes and ultimately play an important role in the treatment of several human diseases. A therapeutically significant drug may have limited utilization in clinical practice because of various shortcomings like poor organoleptic properties (chloranphenicol), poor bioavailability (ampicilin), lack of site specificity (antineoplastic agents), incomplete absorption (epinephrine), poor aqueous solubility (corticosteroids), high first-pass metabolism (propranolol), low chemical stability (penicillin), high toxicity (thalidomide) or other adverse effects. Sometimes, an adequate pharmaceutical formulation can overcome these drawbacks, but often the galenic formulation is inoperant and a chemical modification of active molecule is necessary to correct its pharmacokinetic profile. This chemical formulation process, whose objective is to convert an interesting active molecule into a clinically acceptable drug, often involves the so-called prodrug design , which is extensively discussed in chapter 10. The dominant role of synthetic chemistry has been increasingly challenged by knowledge of the structure and functions of enzymes, receptors, channels, membrane pumps, nucleic acids and by the exponential growth of information about biology, genetics and pathology, giving paramount importance to the dialogue between chemists and biologists. Nevertheless, as in the old days, the development of new chemical entities is still highly dependent on the ability of chemists to obtain, with simple, reliable, fast and possibly inexpensive methods, the molecules that have been designed. Even if it is an undisputed fact that biology has become exceedingly important in drug research, it is reasonable to imagine that chemistry, and in particular synthetic organic chemistry, will continue to play a fundamental role in academic research and in the R&D departments of drug companies of the third millennium. In chapter 11, we describe synthetic routes that have been used to synthesize the structures of top drugs in current usage. This provides an ideal way of introducing students to a wide range of applied chemistry with brief descriptions of the modes of action of these drugs. Some contents of this book therefore reflect our own ideas and personal experiences, which are presented in reviews of different topics here investigated. It is interesting to consider the information described in this book as the starting point to access available and varied knowledge in Medicinal Chemistry and Biological Physics or related areas.
Systems and Synthetic Biology
- Author : Vikram Singh,Pawan K. Dhar
- Publisher : Springer
- Release Date : 2014-12-15
- Total pages : 385
- ISBN : 9789401795142
- File Size : 43,9 Mb
- Total Download : 805
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This textbook has been conceptualized to provide a detailed description of the various aspects of Systems and Synthetic Biology, keeping the requirements of M.Sc. and Ph.D. students in mind. Also, it is hoped that this book will mentor young scientists who are willing to contribute to this area but do not know from where to begin. The book has been divided into two sections. The first section will deal with systems biology – in terms of the foundational understanding, highlighting issues in biological complexity, methods of analysis and various aspects of modelling. The second section deals with the engineering concepts, design strategies of the biological systems ranging from simple DNA/RNA fragments, switches and oscillators, molecular pathways to a complete synthetic cell will be described. Finally, the book will offer expert opinions in legal, safety, security and social issues to present a well-balanced information both for students and scientists.