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Author : Alexander Heifetz
Publisher : Unknown
Page : 436 pages
File Size : 47,9 Mb
Release : 2018
Category : Biomedicine
ISBN : 1493974653
Author : Alexander Heifetz
Publisher : Humana Press
Page : 436 pages
File Size : 43,9 Mb
Release : 2018-08-30
Category : Medical
ISBN : 1493984942
This volume looks at modern computational strategies and techniques used in GPCR drug discovery including structure and ligand-based approaches and cheminformatics. The chapters in this book describe how these approaches can be applied to address key drug discovery issues, such as receptor structure modelling, function and dynamics, prediction of protein-water-ligand interactions and binding kinetics, free energy of binding, interconversion between agonists and antagonists, deorphanization of GPCRs, and the discovery of biased and allosteric modulators. 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 modelling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique,Computational Methods for GPCR Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.
Author : Pietro Cozzini,Glen E. Kellogg
Publisher : Royal Society of Chemistry
Page : 191 pages
File Size : 44,7 Mb
Release : 2012
Category : Medical
ISBN : 9781849733649
Nuclear receptors (NR) are ligand-induced activated transcription factors that are involved in numerous biological processes. Since the 1990's when the first structures were determined by means of X ray diffraction, the number of NR structures has increased considerably. Moreover several "omics" projects (genomics, pharmcogenomics and proteomics) have opened up great opportunities for the discovery of new targets, the characterization of abnormal protein patterns, the selection of "tailored" drugs and the evaluation of drug efficacy even with a lack of structural data. Furthermore, structure-based drug design, computational methods for in silico screening and nanobiotechnology- based tools are simplifying this time-consuming and money-intensive research of lead compounds and, possibly, new drugs. Biological interactions such as those that occur between a protein and ligand are concerted events where flexible molecules interact. Thus understanding flexibility of large molecules or biological complexes is of primary importance to help define the right model to approximate the reality for drug discovery, virtual screening, food safety analysis, etc. NRs are known as flexible targets, with many structural similarities, in particular for their Ligand Binding Domain: these similarities could be assumed to share behavioural qualities that belong to this class of compounds. Thus to supply a possible, complete and exhaustive answer to questions about the behaviour of NRs, their interactions with new potential drugs, endocrine disruptors such as animal and human food toxins, food additives or industry residuals, it is mandatory to approach the problem from a different point of view: a molecular modelling approach, steered synthesis, and in vitro and in vivo tests, etc. The aim of this book is to provide a state of the art review on investigations into Nuclear Receptors.
Author : Vasanthanathan Poongavanam,Vijayan Ramaswamy
Publisher : John Wiley & Sons
Page : 882 pages
File Size : 45,7 Mb
Release : 2024-01-19
Category : Science
ISBN : 9783527840731
Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in computational drug discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in computational drug discovery and serve as a valuable resource for professionals engaged in drug discovery.
Author : Robert Stroud,Janet Finer-Moore
Publisher : Royal Society of Chemistry
Page : 400 pages
File Size : 52,7 Mb
Release : 2007-10-31
Category : Science
ISBN : 9781847557964
Computational methods impact all aspects of modern drug discovery and most notably these methods move rapidly from academic exercises to becoming drugs in clinical trials... This insightful book represents the experience and understanding of the global experts in the field and spotlights both the structural and medicinal chemistry aspects of drug design. The need to 'encode' the factors that determine adsorption, distribution, metabolism, excretion and toxicology are explored, as they remain the critical issues in this area of research. This indispensable resource provides the reader with: * A rich understanding of modern approaches to docking * A comparison and critical evaluation of state-of-the-art methods * Details on harnessing computational methods for both analysis and prediction * An insight into prediction potencies and protocols for unbiased evaluations of docking and scoring algorithms * Critical reviews of current fragment based methods with perceptive applications to kinases Addressing a wide range of uses of protein structures for drug discovery the Editors have created and essential reference for professionals in the pharmaceutical industry and moreover an indispensable core text for all graduate level courses covering molecular interactions and drug discovery.
Author : Jean-Paul Renaud
Publisher : John Wiley & Sons
Page : 1367 pages
File Size : 54,7 Mb
Release : 2020-01-09
Category : Medical
ISBN : 9781118900505
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
Author : Vasanthanathan Poongavanam,Vijayan Ramaswamy
Publisher : Wiley-VCH
Page : 0 pages
File Size : 51,7 Mb
Release : 2024-01-31
Category : Science
ISBN : 3527351663
Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
Author : Tudor I. Oprea
Publisher : John Wiley & Sons
Page : 515 pages
File Size : 40,6 Mb
Release : 2006-03-06
Category : Science
ISBN : 9783527604203
This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical companies, as well as from chemoinformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process. With the user rather than the developer of chemoinformatics software in mind, this book describes the successful application of computational tools to real-life problems and presents solution strategies to commonly encountered problems. It shows how almost every step of the drug discovery pipeline can be optimized and accelerated by using chemoinformatics tools -- from the management of compound databases to targeted combinatorial synthesis, virtual screening and efficient hit-to-lead transition. An invaluable resource for drug developers and medicinal chemists in academia and industry.
Author : Lodhi, Huma,Yamanishi, Yoshihiro
Publisher : IGI Global
Page : 418 pages
File Size : 46,8 Mb
Release : 2010-07-31
Category : Computers
ISBN : 9781615209125
"This book is a timely compendium of key elements that are crucial for the study of machine learning in chemoinformatics, giving an overview of current research in machine learning and their applications to chemoinformatics tasks"--Provided by publisher.
Author : Zaheer Ul-Haq,Jeffry D. Madura
Publisher : Elsevier
Page : 362 pages
File Size : 51,9 Mb
Release : 2015-12-14
Category : Science
ISBN : 9781608058648
Frontiers in Computational Chemistry, originally published by Bentham and now distributed by Elsevier, presents the latest research findings and methods in the diverse field of computational chemistry, focusing on molecular modeling techniques used in drug discovery and the drug development process. This includes computer-aided molecular design, drug discovery and development, lead generation, lead optimization, database management, computer and molecular graphics, and the development of new computational methods or efficient algorithms for the simulation of chemical phenomena including analyses of biological activity. In Volume 1, the leading researchers in the field have collected eight different perspectives in the application of computational methods towards drug design to provide an up-to-date rendering of the current field. This volume covers a variety of topics from G protein-coupled receptors, to the use of cheminformatics and bioinformatics, computational tools such as Molecular Mechanics Poisson-Boltzmann Surface Area, protein-protein interactions, the use of computational methods on large biological data sets, various computational methods used to identify pharmaceutically relevant targets, and more. Brings together a wide range of research into a single collection to help researchers keep up with new methods Uniquely focuses on computational chemistry approaches that can accelerate drug design Makes a solid connection between experiment and computation and the novel application of computational methods in the fields of biology, chemistry, biochemistry, physics, and biophysics, with particular focus on the integration of computational methods with experimental data
Author : Anil Kumar Saxena
Publisher : Springer Nature
Page : 405 pages
File Size : 46,8 Mb
Release : 2021-10-18
Category : Science
ISBN : 9783030852818
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.
Author : Anil Kumar Saxena
Publisher : Unknown
Page : 0 pages
File Size : 48,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030852822
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.
Author : Zunnan Huang,Xiao Jun Yao,Ruo-Xu Gu
Publisher : Frontiers Media SA
Page : 135 pages
File Size : 45,7 Mb
Release : 2021-03-15
Category : Science
ISBN : 9782889666010
Author : Patrick Bultinck,Hans De Winter,Wilfried Langenaeker,Jan P. Tollenare
Publisher : CRC Press
Page : 844 pages
File Size : 52,8 Mb
Release : 2003-12-17
Category : Medical
ISBN : 0203913396
Observing computational chemistry's proven value to the introduction of new medicines, Computational Medicinal Chemistry for Drug Discovery offers the techniques most frequently utilized by industry and academia for ligand design. Featuring contributions from more than 50 preeminent scientists, this book surveys molecular structure computation, intermolecular behavior, ligand-receptor interaction, and modeling. It also examines molecular mechanics, semi-empirical methods, wave function-based quantum chemistry, density functional theory, 3-D structure generation, and hybrid methods.
Author : Wayne R. Leifert
Publisher : Humana Press
Page : 376 pages
File Size : 52,9 Mb
Release : 2016-08-23
Category : Medical
ISBN : 1493957066
The G protein-coupled receptors (GPCRs) and associated peripheral G proteins underpin a multitude of physiological processes. The GPCRs represent one of the largest superfamilies in the human genome and are a significant target for bioactive and drug discovery programs. It is estimated that greater than 50% of all drugs, including those in development, currently target GPCRs. Many of the characterized GPCRs have known ligands; however, approximately 20% of GPCRs are described as orphan GPCRs, apparent GPCRs that share the generic high-level structure charact- istic of GPCRs but whose endogenous ligand is not known. Therefore, it is expected that the field of GPCR drug discovery and development will greatly expand in the coming years with emphasis on new generations of drugs against GPCRs with unique therapeuticuseswhichmayincludedrugssuchasallostericregulators,inverseagonists, and identification of orphan GPCR ligands. AswelearnmoreaboutthemolecularsignalingcascadesfollowingGPCRactivation, we acquire a better appreciation of the complexity of cell signaling and as a result, also acquire a vast array ofnew molecularmethods toinvestigate these andother processes. Thegeneralaimofthisbookistoprovideresearcherswitharangeofprotocolsthatmay be useful in their GPCR drug discovery programs. It is also the basis for the devel- ment of future assays in this field. Therefore, the range of topics covered and the appropriate methodological approaches in GPCR drug discovery are reflected in this book. Itisinterestingtonotethatfuturedirectionsindrugdiscoverywillrequireinput and collaboration from a plethora of fields of research. As such, this book will likely be of interest to scientists involved in such fields as molecular biology, pharmacology, biochemistry, cellular signaling, and bio-nanotechnology.
