Books published by Springer US

This volume explores diverse protocols for peptide conjugation, and provides thoroughly tested and scientifically valid techniques that allow researchers and scientists to prepare, purify, characterize, and use peptide conjugation methods for chemical, biochemical, and biological studies. Some of the topics discussed in this book are gold nanoparticles, proteins, pegylated lipids, and vitamins. Chapters also cover enzymatic ligation using sortase A, construction of a phage-displayed cyclic-peptide library, quantum dot-peptide conjugates, and preparation of lipopeptides by CLipPA chemistry. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Peptide Conjugation: Methodsand Protocols is a valuable resource for experienced researches and undergraduate students alike who are interested in learning more about this exciting and developing field.

This essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. Comprehensive and timely, In Silico Modeling ofDrugs Against Coronaviruses: Computational Tools and Protocols is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the future.

This volume provides an overview of the current successes as well as pitfalls and caveats that are hindering the design of membrane proteins. Divided into six parts, chapters detail membrane transporter, FoldX force field, protein stability, G-Protein Coupled Receptors (GPCR) structures, transmembrane helices, membrane molecular dynamics (MD) simulations, pH-dependent protonation states, membrane permeability, and passive transport. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Design of Membrane Proteins aims to ensure successful results in the further study of this vital field.Chapter 4 is available open access under a Creative CommonsAttribution 4.0 International License via link.springer.com.

This second edition further develops the principles of applying kinetic principles to drug metabolizing enzymes and transporters. Chapters are divided into six sections detailing fundamental principles of enzyme kinetics, enzyme and transporter structures, highlighting specific oxidative and conjugative drug metabolizing enzymes and drug transporters, modeling approaches for drug metabolizing enzymes and transporters, understanding of variability both experimental and interindividual (pharmacogenomic), and expanded case studies that provide real life examples of applying these principles. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, in some cases step-by-step instructions with readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls with extensive cross referencing to assist in learning. Authoritativeand fully updated, Enzyme Kinetics in Drug Metabolism: Fundamentals and Applications, Second Edition serves as a practical teaching tool for novice and advanced scientists interested in the fundamental concepts.

This collection explores detailed experimental protocols necessary for setting up a variety of in vitro cytochrome P450 (CYP) assays that are vital in selecting drug candidates in a drug discovery pipeline. Major factors affecting drug metabolism include CYP expression levels, kinetic parameters for individual CYP enzymes, CYP inhibition and induction, time-dependent inhibition (TDI), CYP stability, non-CYP stability, UDP-glucuronosyltransferases (UGT) stability, excretion mechanisms, and drug-drug interactions (DDI), all addressed in this volume. Written for the Methods in Pharmacology and Toxicology series, chapters include helpful background information on the in vitro assay, a list of all the materials, reagents, and equipment necessary to carry out the assay, a step-by-step protocol, notes containing common and unexpected experimental problems in the assay, as well as references containing important supplementary reading. Authoritativeand practical, Cytochrome P450: In Vitro Methods and Protocols serves as a key guide for researchers in the area of discovery and development of new medicines.

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an idealguide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.