Download or read book Free Energy Methods in Drug Discovery written by Kira A. Armacost and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is about Free Energy Methods in Drug Discovery: Current State and Future Directions"--
Download or read book Free Energy Methods in Drug Discovery written by Kira A. Armacost and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is about Free Energy Methods in Drug Discovery: Current State and Future Directions"--
Download or read book Free Energy Calculations in Rational Drug Design written by M. Rami Reddy and published by Springer Science & Business Media. This book was released on 2001-12-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Free energy calculations represent the most accurate computational method available for predicting enzyme inhibitor binding affinities. Advances in computer power in the 1990s enabled the practical application of these calculations in rationale drug design. This book represents the first comprehensive review of this growing area of research and covers the basic theory underlying the method, numerous state of the art strategies designed to improve throughput and dozen examples wherein free energy calculations were used to design and evaluate potential drug candidates.
Download or read book Free Energy Calculations written by Christophe Chipot and published by Springer Science & Business Media. This book was released on 2007-01-08 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Free energy constitutes the most important thermodynamic quantity to understand how chemical species recognize each other, associate or react. Examples of problems in which knowledge of the underlying free energy behaviour is required, include conformational equilibria and molecular association, partitioning between immiscible liquids, receptor-drug interaction, protein-protein and protein-DNA association, and protein stability. This volume sets out to present a coherent and comprehensive account of the concepts that underlie different approaches devised for the determination of free energies. The reader will gain the necessary insight into the theoretical and computational foundations of the subject and will be presented with relevant applications from molecular-level modelling and simulations of chemical and biological systems. Both formally accurate and approximate methods are covered using both classical and quantum mechanical descriptions. A central theme of the book is that the wide variety of free energy calculation techniques available today can be understood as different implementations of a few basic principles. The book is aimed at a broad readership of graduate students and researchers having a background in chemistry, physics, engineering and physical biology.
Download or read book Application of Free Energy Methods to Drug Discovery written by Lin Song and published by . This book was released on 2020 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing power of computers, computational studies have become more and more significant in drug discovery. High binding free energy is one of the major requirements for an effective drug molecule, hence much effort has been spent to develop fast and accurate computational free energy methods. In this thesis, different free energy methods, i.e. umbrella sampling, thermodynamic integration, and double decoupling method, are applied to different systems related to drug discovery. For the first study, umbrella sampling studies are performed to calculate the absolute binding free energies of host-guest systems which serve as great model systems to assess free energy methods due to the small size of the systems, etc. We find that benchmarking our method with known systems can significantly improve the results for the unknown systems: the overall RMSE of the binding free energy versus experiment is reduced from 5.59 kcal/mol to 2.36 kcal/mol. The source of error could be from the un-optimized force constants used in umbrella sampling (hence possibly poor window overlaps), as well as force field, sampling issues, etc. Our results ranked 4th best in the Statistical Assessment of the Modeling of Proteins and Ligands (SAMPL6) blind challenge. For the second study, GPU accelerated thermodynamic integration (GPU-TI) is used to compute the relative binding free energies of a protein-ligand dataset originally assembled by Schrodinger, Inc. The calculations of relative binding free energies between different ligands are the typical process in the lead optimization of computer-aided drug discovery. In our study using GPU-TI from AMBER 18 with the AMBER14SB/GAFF1.8 force field, we obtained an overall MUE of 1.17 kcal/mol and an overall RMSE of 1.50 kcal/mol for the 330 perturbations contained in this data set. They are comparable to the overall MUE of 0.9 kcal/mol and RMSE of 1.14 kcal/mol using their GPU free energy code (FEP+) and the OPLS2.1 force field combined with the REST2 enhanced sampling by Schrodinger, Inc. Notably, after we published our work, several other research groups reported their benchmarking results on the other free energy software using the same dataset.The third study of this thesis focuses on modeling the thermodynamics of transition metal (TM) ions binding to a protein. TM ions are very common in biology and are important in drug discovery as well, because many TM ions are in the active site of the protein where the inhibitors bind, for example, the histone deacetylase. While the structural details of TMs bound to metalloproteins are generally well understood via experimental and computational means; studies accurately describing the thermodynamics of TM ion binding are less common. Herein, we demonstrate that we can obtain accurate structural and absolute binding free energies of Co2+ and Ni2+ to the enzyme glyoxalase I (GlxI) using an optimized 12-6-4 (m12-6-4) potential. Optimizing the 12-6-4 potential to accurately model the interactions between the TMs and the binding site residues, as well as protonation state changes associated with TMs (un)binding, are found to be crucial. Given the success of this study, we are now in a position to explore more complicated processes associated with TM-based drug discovery.
Download or read book Drug Design written by Kenneth M. Merz and published by Cambridge University Press. This book was released on 2010-05-31 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete snapshot of various experimental approaches to structure-based and ligand-based drug design and is illustrated with more than 200 images.
Download or read book Physico chemical and Computational Approaches to Drug Discovery written by Javier Luque and published by Royal Society of Chemistry. This book was released on 2012 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Drug Design written by D. C. Young and published by John Wiley & Sons. This book was released on 2009-01-28 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps you choose the right computational tools and techniques to meet your drug design goals Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes. Following an introduction, the book is divided into three parts: Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals. Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques. Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches. The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Download or read book Molecular Dynamics and Machine Learning in Drug Discovery written by Sergio Decherchi and published by Frontiers Media SA. This book was released on 2021-06-08 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Sergio Decherchi and Dr. Andrea Cavalli are co-founders of BiKi Technologies s.r.l. - a company that commercializes a Molecular Dynamics-based software suite for drug discovery. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Download or read book Computational Drug Discovery and Design written by Riccardo Baron and published by Humana Press. This book was released on 2011-12-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 BiologyTM 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.
Download or read book Quantum Mechanics in Drug Discovery written by Alexander Heifetz and published by Humana. This book was released on 2021-02-18 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein–ligand poses, describing molecular similarity, structure–activity-relationship (SAR) analysis, and ADMET prediction. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique, Quantum Mechanics in Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.
Download or read book Biophysical and Computational Tools in Drug Discovery written by Anil Kumar Saxena and published by Springer Nature. This book was released on 2021-10-18 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Structure Based Drug Discovery written by Roderick E Hubbard and published by Royal Society of Chemistry. This book was released on 2007-10-31 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structure-based drug discovery is a collection of methods that exploits the ability to determine and analyse the three dimensional structure of biological molecules. These methods have been adopted and enhanced to improve the speed and quality of discovery of new drug candidates. After an introductory overview of the principles and application of structure-based methods in drug discovery, this book then describes the essential features of the various methods. Chapters on X-ray crystallography, NMR spectroscopy, and computational chemistry and molecular modelling describe how these particular techniques have been enhanced to support rational drug discovery, with discussions on developments such as high throughput structure determination, probing protein-ligand interactions by NMR spectroscopy, virtual screening and fragment-based drug discovery. The concluding chapters complement the overview of methods by presenting case histories to demonstrate the major impact that structure-based methods have had on discovering drug molecules. Written by international experts from industry and academia, this comprehensive introduction to the methods and practice of structure-based drug discovery not only illustrates leading-edge science but also provides the scientific background for the non-expert reader. The book provides a balanced appraisal of what structure-based methods can and cannot contribute to drug discovery. It will appeal to industrial and academic researchers in pharmaceutical sciences, medicinal chemistry and chemical biology, as well as providing an insight into the field for recent graduates in the biomolecular sciences.
Download or read book Structural Biology in Drug Discovery written by Jean-Paul Renaud and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 1367 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book In Silico Drug Discovery and Design written by Claudio N. Cavasotto and published by CRC Press. This book was released on 2017-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design. Its main aims are to introduce the theoretical framework and algorithms, discuss the range of validity, strengths and limitations of each methodology, and present applications to real world problems in the drug discovery arena. Special emphasis has been given to the emerging and most pressing methodological challenges in in silico drug discovery and design. The book assumes a basic knowledge of physical principles and molecular modeling. Particular attention has been paid to outline the underlying physico-chemical foundation of the methods described, thus providing the necessary background to avoid a -black-box- approach. In each self-contained chapter, this is presented together with the latest developments and applications, and the challenges that lie ahead. Assembling a unique team of experts to weigh in on the most important issues influencing modern computational drug discovery and design, this book constitutes both a desktop reference to academic and industrial researchers in the field, and a textbook for students in the area of molecular modeling and drug discovery. Comprised of 18 chapters and divided into three parts, this book: Provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design Outlines the underlying physico-chemical foundation of the methods described Presents several applications of computational methods to real world problems in the drug design field Helps to avoid a -black-box- approach to in silico drug discovery Constitutes an actual textbook for students in the area of molecular modeling and drug discovery Gives the reader the adequate background to face the current challenges of the field In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications describes the theoretical framework, methods, practical applications and case examples relevant to computer-aided drug lead discovery and design. This text will surely aid in understanding the underlying physical foundation of computational tools and their range of application, thus facilitating the interpretation of simulation results.
Download or read book Drug like Properties Concepts Structure Design and Methods written by Li Di and published by Elsevier. This book was released on 2010-07-26 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. Serves as an essential working handbook aimed at scientists and students in medicinal chemistry Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies Discusses improvements in pharmacokinetics from a practical chemist's standpoint
Download or read book Fragment Based Drug Discovery written by Steven Howard and published by Royal Society of Chemistry. This book was released on 2015-07-03 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fragment-based drug discovery is a rapidly evolving area of research, which has recently seen new applications in areas such as epigenetics, GPCRs and the identification of novel allosteric binding pockets. The first fragment-derived drug was recently approved for the treatment of melanoma. It is hoped that this approval is just the beginning of the many drugs yet to be discovered using this fascinating technique. This book is written from a Chemist's perspective and comprehensively assesses the impact of fragment-based drug discovery on a wide variety of areas of medicinal chemistry. It will prove to be an invaluable resource for medicinal chemists working in academia and industry, as well as anyone interested in novel drug discovery techniques.
