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| Author | : Guang Hu |
| Publisher | : Frontiers Media SA |
| Total Pages | : 276 |
| Release | : 2021-06-08 |
| Genre | : Science |
| ISBN | : 2889668487 |
| Author | : Jian Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 384 |
| Release | : 2019-11-09 |
| Genre | : Medical |
| ISBN | : 9811387192 |
The book focuses on protein allostery in drug discovery. Allosteric regulation, ʹthe second secret of lifeʹ, fine-tunes virtually most biological processes and controls physiological activities. Allostery can both cause human diseases and contribute to development of new therapeutics. Allosteric drugs exhibit unparalleled advantages compared to conventional orthosteric drugs, rendering the development of allosteric modulators as an appealing strategy to improve selectivity and pharmacodynamic properties in drug leads. The Series delineates the immense significance of protein allostery—as demonstrated by recent advances in the repertoires of the concept, its mechanistic mechanisms, and networks, characteristics of allosteric proteins, modulators, and sites, development of computational and experimental methods to predict allosteric sites, small-molecule allosteric modulators of protein kinases and G-protein coupled receptors, engineering allostery, and the underlying role of allostery in precise medicine. Comprehensive understanding of protein allostery is expected to guide the rational design of allosteric drugs for the treatment of human diseases. The book would be useful for scientists and students in the field of protein science and Pharmacology etc.
| Author | : JoAnne Jean Babula |
| Publisher | : |
| Total Pages | : 366 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
Misregulation of protein signaling pathways is the basis for many human diseases, and thus 95% of Food and Drug Administration approved drugs target proteins. Proteins are dynamic entities which can undergo transitions to reach different conformational states. The conformational state of a protein, or its three-dimensional shape, is intricately linked to functions, such as association with endogenous or exogenous binding partners, or catalysis. Thus, it is of interest to the pharmacological community to understand the mechanisms of protein conformational state transitions in order to better target and control protein functions. In two case studies, I show the importance of understanding protein dynamics in protein function and drug design. In the case of human immunodeficiency virus-1 (HIV-1) protease, a tremendous "open-and-closed" conformational transition is revealed by Molecular Dynamics Simulations (MDS). Through observing the dramatic difference in effectiveness of two Darunavir inhibitor derivatives differentiated by a single atom at locking the protease in the closed conformation, we discovered the residues and mechanism that lead to the protease's conformational transition. This mechanism also explained the significant difference in the binding conformation and binding affinity of these two inhibitors. This study provides insight on how to improve the potency and anti-viral capacity of these compounds. In the second case study, MDS enabled us to observe the conformational transitions of a family of seven isoforms known as the 14-3-3 proteins. Many vital cellular processes involve all or select 14-3-3 isoforms, making this family very difficult to target. Through MDS, I discovered different conformational samplings among these 14-3-3 isoforms which were then validated by SAXS. Subsequently, a FRET-based ligand binding assay was developed which can screen for preferential 14-3-3 isoform binding of endogenous ligands, giving hope that using conformations unique to a 14-3-3 isoform of interest can provide a method for selective drug design
| Author | : Dario Doller |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 458 |
| Release | : 2016-11-24 |
| Genre | : Medical |
| ISBN | : 1782624597 |
Although the concept of allosterism has been known for over half a century, its application in drug discovery has exploded in recent years. The emergence of novel technologies that enable molecular-level ligand-receptor interactions to be studied in studied in unprecedented detail has driven this trend. This book, written by the leaders in this young research area, describes the latest developments in allosterism for drug discovery. Bringing together research in a diverse range of scientific disciplines, Allosterism in Drug Discovery is a key reference for academics and industrialists interested in understanding allosteric interactions. The book provides an in-depth review of research using small molecules as chemical probes and drug candidates that interact allosterically with proteins of relevance to life sciences and human disease. Knowledge of these interactions can then be applied in the discovery of the novel therapeutics of the future. This book will be useful for people working in all disciplines associated with drug discovery in academia or industry, as well as postgraduate students who may be working in the design of allosteric modulators.
| Author | : Jean-Paul Renaud |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1367 |
| Release | : 2020-01-09 |
| Genre | : Medical |
| ISBN | : 1118900502 |
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 | : Peng He |
| Publisher | : |
| Total Pages | : 279 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Protein-ligand binding and protein allostery play a crucial role in cell signaling, cell regulation, and modern drug discovery. In recent years, experimental studies of protein structures including crystallography, NMR, and Cryo-EM are widely used to investigate the functional and inhibitory properties of a protein. On the one hand, structural classification and feature identification of the structures of protein kinases, HIV proteins, and other extensively studied proteins would have an increasingly important role in depicting the general figures of the conformational landscape of those proteins. On the other hand, free energy calculations which include the conformational and binding free energy calculation, which provides the thermodynamics basis of protein allostery and inhibitor binding, have proven its ability to guide new inhibitor discovery and protein functional studies. In this dissertation, I have used multiple different analysis and free energy methods to understand the significance of the conformational and binding free energy landscapes of protein kinases and other disease-related proteins and developed a novel alchemical-based free energy method, restrain free energy release (R-FEP-R) to overcome the difficulties in choosing appropriate collective variables and pathways in conformational free energy methods like umbrella sampling and metadynamics.
| Author | : Robert Laprairie |
| Publisher | : Academic Press |
| Total Pages | : 214 |
| Release | : 2022-02-05 |
| Genre | : Business & Economics |
| ISBN | : 0128197722 |
Allosteric Modulation of G Protein-Coupled Receptors reviews fundamental information on G protein-coupled receptors (GPCRs) and allosteric modulation, presenting original research in the area and collectively providing a comprehensive description of key issues in GPCR allosteric modulation. The book provides background on core concepts of molecular pharmacology while also introducing the most important advances and studies in the area. It also discusses key methodologies. This is an essential book for researchers and advanced students engaged in pharmacology, toxicology and pharmaceutical sciences training and research. Many of the GPCR-targeted drugs released in the past decade have specifically worked via allosteric mechanisms. Unlike direct orthosteric-acting compounds that occupy a similar receptor site to that of endogenous ligands, allosteric modulators alter GPCR-dependent signaling at a site apart from the endogenous ligand. Recent methodological and analytical advances have greatly improved our ability to understand the signaling mechanisms of GPCRs. We now know that allostery is a common regulatory mechanism for all GPCRs and not – as we once believed – unique to a few receptor subfamilies. Introduces background on core concepts of molecular pharmacology, including statistical analyses, non-linear regression, complex models and GPCR-dependent signal transduction as they relate to allosteric modulation Discusses critical advances and landmark studies, including discoveries in the area of GPCR allosteric modulation, which are reviewed for their importance in positive and negative regulation, protein-protein interactions, and small molecule drug discovery Includes key methodologies used to study allosteric modulation at the in silico, in vitro, and in vivo levels of drug discovery and characterization
| Author | : Francesco L. Gervasio |
| Publisher | : John Wiley & Sons |
| Total Pages | : 368 |
| Release | : 2019-04-29 |
| Genre | : Medical |
| ISBN | : 3527342656 |
A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.
| Author | : Kyle William Harpole |
| Publisher | : |
| Total Pages | : 336 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
The nature of macromolecular interactions has been an area of deep interest for understanding many facets of biology. While a great deal of insight has been gained from structural knowledge, the contribution of protein dynamics to macromolecular interactions is not fully appreciated. This plays out from a thermodynamic perspective as the conformational entropy. The role of conformational entropy in macromolecular interactions has been difficult to address experimentally. Recently, an empirical calibration has been developed to quantify the conformational entropy of proteins using solution NMR relaxation methods. This method has been demonstrated in two distinct protein systems. The goal of this work is to expand this calibration to assess whether conformational entropy can be effectively quantified from NMR-derived protein dynamics. First, we demonstrate that NMR dynamics do not correlate well between the solid and solution states, suggesting that the relationship between the conformational entropy of proteins is limited to solution state-derived NMR dynamics. We hypothesize that this may be partially due to the role of hydration of the protein in its dynamics. Next, we expand our empirical calibration to over 30 distinct protein systems and demonstrated that the relationship between NMR dynamics and conformational entropy is both robust and general. Furthermore, we demonstrate that conformational entropy plays a significant role in macromolecular interactions. Using our empirical calibration, we then look to address if conformational entropy could be an important contribution to drug design. The latter process is often a brute force approach, and subsequent optimization of initial drug candidates is often a guess and check process. In silico drug design was thought to offer a more efficient and rational approach, but often relies on static structures. This minimizes or completely neglects the role that conformational entropy may play in binding. Here we experimentally determine the role of conformational entropy in the drug target p38a MAPK in binding to two potent inhibitors. We demonstrate evidence that conformational entropy may represent a tunable parameter in affinity optimization of lead compounds. This has important implications for lead optimization and strongly suggests that the role of conformational entropy be considered in drug design efforts.
| Author | : Monika Fuxreiter |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 210 |
| Release | : 2012-03-07 |
| Genre | : Medical |
| ISBN | : 1461406595 |
Detailed characterization of fuzzy interactions will be of central importance for understanding the diverse biological functions of intrinsically disordered proteins in complex eukaryotic signaling networks. In this volume, Peter Tompa and Monika Fuxreiter have assembled a series of papers that address the issue of fuzziness in molecular interactions. These papers provide a broad overview of the phenomenon of fuzziness and provide compelling examples of the central role played by fuzzy interactions in regulation of cellular signaling processes and in viral infectivity. These contributions summarize the current state of knowledge in this new field and will undoubtedly stimulate future research that will further advance our understanding of fuzziness and its role in biomolecular interactions.
