Activity-Based Protein Profiling
Title | Activity-Based Protein Profiling PDF eBook |
Author | Benjamin F. Cravatt |
Publisher | Springer |
Pages | 420 |
Release | 2019-01-25 |
Genre | Medical |
ISBN | 3030111431 |
This volume provides a collection of contemporary perspectives on using activity-based protein profiling (ABPP) for biological discoveries in protein science, microbiology, and immunology. A common theme throughout is the special utility of ABPP to interrogate protein function and small-molecule interactions on a global scale in native biological systems. Each chapter showcases distinct advantages of ABPP applied to diverse protein classes and biological systems. As such, the book offers readers valuable insights into the basic principles of ABPP technology and how to apply this approach to biological questions ranging from the study of post-translational modifications to targeting bacterial effectors in host-pathogen interactions.
Structural Biology in Drug Discovery
Title | Structural Biology in Drug Discovery PDF eBook |
Author | Jean-Paul Renaud |
Publisher | John Wiley & Sons |
Pages | 1437 |
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
Inhibitors of Protein–Protein Interactions
Title | Inhibitors of Protein–Protein Interactions PDF eBook |
Author | Ali Tavassoli |
Publisher | Royal Society of Chemistry |
Pages | 357 |
Release | 2020-12-07 |
Genre | Science |
ISBN | 178801569X |
Protein-protein interactions (PPI) are at the heart of the majority of cellular processes, and are frequently dysregulated or usurped in disease. Given this central role, the inhibition of PPIs has been of significant interest as a means of treating a wide variety of diseases. However, there are inherent challenges in developing molecules capable of disrupting the relatively featureless and large interfacial areas involved. Despite this, there have been a number of successes in this field in recent years using both traditional drug discovery approaches and innovative, interdisciplinary strategies using novel chemical scaffolds. This book comprehensively covers the various aspects of PPI inhibition, encompassing small molecules, peptidomimetics, cyclic peptides, stapled peptides and macrocycles. Illustrated throughout with successful case studies, this book provides a holistic, cutting-edge view of the subject area and is ideal for chemical biologists and medicinal chemists interested in developing PPI inhibitors.
Protein Interactions as Targets in Drug Discovery
Title | Protein Interactions as Targets in Drug Discovery PDF eBook |
Author | Rossen Donev |
Publisher | Academic Press |
Pages | 318 |
Release | 2020-04-18 |
Genre | Science |
ISBN | 0128168471 |
Protein Interactions as Targets in Drug Discovery, Volume 121, is dedicated to the design of therapeutics, both experimental and computational, that target protein interactions. Chapters in this new release include Trends in structure based drug design with protein targets, From fragment- to peptide-protein interaction: addressing the structural basis of binding using Supervised Molecular Dynamics (SuMD), Protein-protein and protein-ligand interactions: identification of potential inhibitors through computational analysis, Aromatic-aromatic interactions in protein-drug and protein-protein interactions, Role of protein-protein interaction in allosteric drug design within the human methyltransferome, and much more. - Integrates experimental and computational methods for studying protein interactions and their modulation by potential therapeutics - Contains timely chapters written by well-renown authorities in their field - Covers information that is well supported by a number of high quality illustrations, figures and tables - Targets a very wide audience of specialists, researchers and students
Protein-Protein Interactions
Title | Protein-Protein Interactions PDF eBook |
Author | Weibo Cai |
Publisher | BoD – Books on Demand |
Pages | 488 |
Release | 2012-03-30 |
Genre | Science |
ISBN | 9535103970 |
Proteins are indispensable players in virtually all biological events. The functions of proteins are coordinated through intricate regulatory networks of transient protein-protein interactions (PPIs). To predict and/or study PPIs, a wide variety of techniques have been developed over the last several decades. Many in vitro and in vivo assays have been implemented to explore the mechanism of these ubiquitous interactions. However, despite significant advances in these experimental approaches, many limitations exist such as false-positives/false-negatives, difficulty in obtaining crystal structures of proteins, challenges in the detection of transient PPI, among others. To overcome these limitations, many computational approaches have been developed which are becoming increasingly widely used to facilitate the investigation of PPIs. This book has gathered an ensemble of experts in the field, in 22 chapters, which have been broadly categorized into Computational Approaches, Experimental Approaches, and Others.
Synthesis of Best-Seller Drugs
Title | Synthesis of Best-Seller Drugs PDF eBook |
Author | Ruben Vardanyan |
Publisher | Academic Press |
Pages | 870 |
Release | 2016-01-07 |
Genre | Medical |
ISBN | 0124115241 |
Synthesis of Best-Seller Drugs is a key reference guide for all those involved with the design, development, and use of the best-selling drugs. Designed for ease of use, this book provides detailed information on the most popular drugs, using a practical layout arranged according to drug type. Each chapter reviews the main drugs in each of nearly 40 key therapeutic areas, also examining their classification, novel structural features, models of action, and synthesis. Of high interest to all those who work in the captivating areas of biologically active compounds and medicinal drug synthesis, in particular medicinal chemists, biochemists, and pharmacologists, the book aims to support current research efforts, while also encouraging future developments in this important field. - Describes methods of synthesis, bioactivity and related drugs in key therapeutic areas - Reviews the main drugs in each of nearly 40 key therapeutic areas, also examining their classification, novel structural features, models of action, and more - Presents a practical layout designed for use as a quick reference tool by those working in drug design, development and implementation
Kernel Methods in Computational Biology
Title | Kernel Methods in Computational Biology PDF eBook |
Author | Bernhard Schölkopf |
Publisher | MIT Press |
Pages | 428 |
Release | 2004 |
Genre | Computers |
ISBN | 9780262195096 |
A detailed overview of current research in kernel methods and their application to computational biology.