Biophysical And Computational Tools In Drug Discovery
Biophysical And Computational Tools In Drug Discovery Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Biophysical And Computational Tools In Drug Discovery book. This book definitely worth reading, it is an incredibly well-written.
Biophysical and Computational Tools in Drug Discovery by Anil Kumar Saxena Pdf
This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery.
Biophysical and Computational Tools in Drug Discovery by Anil Kumar Saxena Pdf
This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery.
Applied Biophysics for Drug Discovery by Donald Huddler,Edward R. Zartler Pdf
Applied Biophysics for Drug Discovery is a guide to new techniques and approaches to identifying and characterizing small molecules in early drug discovery. Biophysical methods are reasserting their utility in drug discovery and through a combination of the rise of fragment-based drug discovery and an increased focus on more nuanced characterisation of small molecule binding, these methods are playing an increasing role in discovery campaigns. This text emphasizes practical considerations for selecting and deploying core biophysical method, including but not limited to ITC, SPR, and both ligand-detected and protein-detected NMR. Topics covered include: • Design considerations in biophysical-based lead screening • Thermodynamic characterization of protein-compound interactions • Characterizing targets and screening reagents with HDX-MS • Microscale thermophoresis methods (MST) • Screening with Weak Affinity Chromatography • Methods to assess compound residence time • 1D-NMR methods for hit identification • Protein-based NMR methods for SAR development • Industry case studies integrating multiple biophysical methods This text is ideal for academic investigators and industry scientists planning hit characterization campaigns or designing and optimizing screening strategies.
Biophysical Techniques in Drug Discovery by Angeles Canales Pdf
With perspectives from academia and industry across a spectrum of techniques, this is a go-to volume for biophysicists, analytical chemists and medicinal chemists looking for a broad overview of techniques of contemporary interest in drug discovery.
Author : Javier Luque,Xavier Barril Publisher : Royal Society of Chemistry Page : 443 pages File Size : 54,5 Mb Release : 2012 Category : Medical ISBN : 9781849733533
Physico-chemical and Computational Approaches to Drug Discovery by Javier Luque,Xavier Barril Pdf
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.
Structural Biology in Drug Discovery by Jean-Paul Renaud Pdf
With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples, academic and industry insights, novel concepts, and advances in a rapidly evolving field. The combined chapters, by authors writing from the frontlines of structural biology and drug discovery, give readers a valuable reference and resource that: Presents the benefits, limitations, and potentiality of major techniques in the field such as X-ray crystallography, NMR, neutron crystallography, cryo-EM, mass spectrometry and other biophysical techniques, and computational structural biology Includes detailed chapters on druggability, allostery, complementary use of thermodynamic and kinetic information, and powerful approaches such as structural chemogenomics and fragment-based drug design Emphasizes the need for the in-depth biophysical characterization of protein targets as well as of therapeutic proteins, and for a thorough quality assessment of experimental structures Illustrates advances in the field of established therapeutic targets like kinases, serine proteinases, GPCRs, and epigenetic proteins, and of more challenging ones like protein-protein interactions and intrinsically disordered proteins
CADD and Informatics in Drug Discovery by Mithun Rudrapal,Johra Khan Pdf
This book updates knowledge on recent advances in computational, biophysical and bioinformatics tools/techniques and their practical applications in modern drug design and discovery paradigm. It also encompasses fundamental principles, advanced methodologies and applications of various CADD approaches including several cutting-edge areas; presenting recent developments covering ongoing trends in the field of computer-aided drug discovery. Having contributions by a global team of experts, the book is expected to be an ideal resource for drug discovery scientists, medicinal chemists, pharmacologists, toxicologists, phytochemists, biochemists, biologists, R&D personnel, researchers, students, teachers and those working in the field of drug discovery. It will fill the knowledge gaps that exist in the current CADD approaches and methodologies/ protocols being widely used in both academic and research practices. Further, a special focus on current status of various computational drug design approaches (SBDD, LBDD, de novo drug design, pharmacophore-based search), bioinformatics tools and databases, computational screening and modeling of phytochemicals/natural products, artificial intelligence and machine learning, and network pharmacology and systems biology would certainly guide researchers, students or readers to conduct their research in the emerging area(s) of interest. It is also expected to be highly beneficial to various stakeholders working in the pharmaceutical and biotechnology industries (R&D), the academic as well as research sectors.
Structure-based Drug Discovery by Harren Jhoti,Andrew R. Leach Pdf
This book describes some of the most exciting developments for the discovery of new drugs, such as Fragment-based methods. It contains the latest developments in technologies that can be used to obtain the 3-D structures. This book includes experimental approaches using X-ray crystallography and NMR for Fragment-based screening as well as other biophysical methods for studying protein/ligand interactions.
Current Methods In Medicinal Chemistry And Biological Physics by Carlton A. Taft Pdf
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.
Developability of Biotherapeutics by Sandeep Kumar,Satish Kumar Singh Pdf
Biopharmaceuticals are emerging as frontline medicines to combat several life-threatening and chronic diseases. However, such medicines are expensive to develop and produce on a commercial scale, contributing to rising healthcare costs. Developability of Biotherapeutics: Computational Approaches describes applications of computational and molecular modeling techniques that improve the overall process of discovery and development by removing empiricism. The concept of developability involves making rational choices at the pre-clinical stages of biopharmaceutical drug development that could positively impact clinical outcomes. The book also addresses a general lack of awareness of the many different contributions that computation can make to biopharmaceutical drug development. This informative and practical reference is a valuable resource for professionals engaged in industrial research and development, scientists working with regulatory agencies, and pharmacy, medicine, and life science students and educators. It focuses primarily on the developability of monoclonal antibody candidates, but the principles described can also be extended to other modalities such as recombinant proteins, fusion proteins, antibody drug conjugates and vaccines. The book is organized into two sections. The first discusses principles and applications of computational approaches toward discovering and developing biopharmaceutical drugs. The second presents best practices in developability assessments of early-stage biopharmaceutical drug candidates. In addition to raising awareness of the promise of computational research, this book also discusses solutions required to improve the success rate of translating biologic drug candidates into products available in the clinic. As such, it is a rich source of information on current principles and practices as well as a starting point for finding innovative applications of computation towards biopharmaceutical drug development.
Computational Approaches by Anna Maria Almerico,Marco Tutone Pdf
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.
There are numerous excellent reviews on fragment-based drug discovery (FBDD), but there are to date no hand-holding guides or protocols with which one can embark on this orthogonal approach to complement traditional high throughput screening methodologies. This Methods in Enzymology volume offers the tools, practical approaches, and hit-to-lead examples on how to conduct FBDD screens. The chapters in this volume cover methods that have proven to be successful in generating leads from fragments, including chapters on how to apply computational techniques, nuclear magnetic resonance, surface plasma resonance, thermal shift and binding assays, protein crystallography, and medicinal chemistry in FBDD. Also elaborated by experienced researchers in FBDD are sample preparations of fragments, proteins, and GPCR as well as examples of how to generate leads from hits. Offers the tools, practical approaches, and hit-to-lead examples on how to conduct FBDD screens The chapters in this volume cover methods that have proven to be successful in generating leads from fragments, including chapters on how to apply computational techniques, nuclear magnetic resonance, surface plasma resonance, thermal shift and binding assays, protein crystallography, and medicinal chemistry in FBDD
Therapeutic Protein Targets For Drug Discovery And Clinical Evaluation: Bio-crystallography And Drug Design by D Velmurugan,Atanu Bhattacharjee,D Gayathri Pdf
The book reviews the recent research advances and their outcomes in the areas of structural biology, bioinformatics, phytochemistry and drug discovery. Chapters in the book cover multidisciplinary research to understand the molecular mechanisms involved in protein-protein/ligand interactions. It employs an integrative approach to identify the therapeutic targets for HIV, and cancer, pathogen and viral infection pathways and the identification of their potential drug candidates. The book also provides examples of computational molecular dynamics simulations to understand the conformational changes in the molecules. Some chapters are focused on exploring potent bioactive compounds from natural sources.This book can serve as a single source that covers several interdisciplinary research fields which will be beneficial to Researchers and students in postgraduate studies.
Multifaceted Roles of Crystallography in Modern Drug Discovery by Giovanna Scapin,Disha Patel,Eddy Arnold Pdf
The present work offers a snapshot of the state-of-the-art of crystallographic, analytical, and computational methods used in modern drug design and development. Topics discussed include: drug design against complex systems (membrane proteins, cell surface receptors, epigenetic targets, and ribosomes); modulation of protein-protein interactions; the impact of small molecule structures in drug discovery and the application of concepts such as molecular geometry, conformation, and flexibility to drug design; methodologies for understanding and characterizing protein states and protein-ligand interactions during the drug design process; and monoclonal antibody therapies. These methods are illustrated through their application to problems of medical and biological significance, such as viral and bacterial infections, diabetes, autoimmune disease, and CNS diseases. As approaches to drug discovery have changed over time, so have the methodologies used to solve the varied, new, and difficult problems encountered in drug discovery. In recent years we have seen great progress in the fields of genetics, biology, chemistry, and medicine, but there are still many unmet medical needs, from bacterial infections to cancer to chronic maladies, that require novel, different, or better therapies. This work will be of interest to researchers and policy makers interested in the latest developments in drug design.
Applied Biophysics for Drug Discovery by Donald Huddler,Edward R. Zartler Pdf
Applied Biophysics for Drug Discovery is a guide to new techniques and approaches to identifying and characterizing small molecules in early drug discovery. Biophysical methods are reasserting their utility in drug discovery and through a combination of the rise of fragment-based drug discovery and an increased focus on more nuanced characterisation of small molecule binding, these methods are playing an increasing role in discovery campaigns. This text emphasizes practical considerations for selecting and deploying core biophysical method, including but not limited to ITC, SPR, and both ligand-detected and protein-detected NMR. Topics covered include: • Design considerations in biophysical-based lead screening • Thermodynamic characterization of protein-compound interactions • Characterizing targets and screening reagents with HDX-MS • Microscale thermophoresis methods (MST) • Screening with Weak Affinity Chromatography • Methods to assess compound residence time • 1D-NMR methods for hit identification • Protein-based NMR methods for SAR development • Industry case studies integrating multiple biophysical methods This text is ideal for academic investigators and industry scientists planning hit characterization campaigns or designing and optimizing screening strategies.
