Abstract
The evaluation of allosteric ligands at muscarinic receptors is discussed in terms of the ability of the experimental data to be interpreted by the allosteric ternary complex model. The compilation of useful SAR information of allosteric ligands is not simple, especially for muscarinic receptors, where there are multiple allosteric sites and complex interactions.
Keywords: muscarinic receptors, allosterism, cooperativity, enhancers, receptor models, structure-activity relationships, interaction studies, receptor subtype selectivity
Mini-Reviews in Medicinal Chemistry
Title: Allosterism at Muscarinic Receptors: Ligands and Mechanisms
Volume: 5 Issue: 6
Author(s): N. J.M. Birdsall and S. Lazareno
Affiliation:
Keywords: muscarinic receptors, allosterism, cooperativity, enhancers, receptor models, structure-activity relationships, interaction studies, receptor subtype selectivity
Abstract: The evaluation of allosteric ligands at muscarinic receptors is discussed in terms of the ability of the experimental data to be interpreted by the allosteric ternary complex model. The compilation of useful SAR information of allosteric ligands is not simple, especially for muscarinic receptors, where there are multiple allosteric sites and complex interactions.
Export Options
About this article
Cite this article as:
Birdsall J.M. N. and Lazareno S., Allosterism at Muscarinic Receptors: Ligands and Mechanisms, Mini-Reviews in Medicinal Chemistry 2005; 5 (6) . https://dx.doi.org/10.2174/1389557054023251
DOI https://dx.doi.org/10.2174/1389557054023251 |
Print ISSN 1389-5575 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5607 |
Call for Papers in Thematic Issues
Bioprospecting of Natural Products as Sources of New Multitarget Therapies
According to the Convention on Biological Diversity, bioprospecting is the exploration of biodiversity and indigenous knowledge to develop commercially valuable products for pharmaceutical and other applications. Bioprospecting involves searching for useful organic compounds in plants, fungi, marine organisms, and microorganisms. Natural products traditionally constituted the primary source of more than ...read more
Computational Frontiers in Medicinal Chemistry
The thematic issue "Computational Frontiers in Medicinal Chemistry" provides a robust platform for delving into state-of-the-art computational methodologies and technologies that significantly propel advancements in medicinal chemistry. This edition seeks to amalgamate top-tier reviews spotlighting the latest trends and breakthroughs in the fusion of computational approaches, including artificial intelligence (AI) ...read more
Natural Products and Dietary Supplements in Alleviation of Metabolic, Cardiovascular, and Neurological Disorders
Metabolic disorders like diabetes, obesity, inflammation, oxidative stress, cancer etc, cardiovascular disorders like angina, myocardial infarction, congestive heart failure etc as well as neurological disorders like Alzheimer?s, Parkinson?s, Epilepsy, Depression, etc are the global burden. They covered the major segment of the diseases and disorders from which the human community ...read more
Natural Products in Drug Discovery
Natural products have always been one of the important ways of drug discovery due to their novel skeleton and diverse functional group characteristics. According to statistics, between 1981 and 2019, the FDA approved a total of 1,394 small molecule drugs for marketing, of which 930 marketed drugs originated from the ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Subject Index to Volume 1
Letters in Drug Design & Discovery From Stem Cell Biology to The Treatment of Lung Diseases
Current Stem Cell Research & Therapy Medicinal Chemistry of Ureido Derivatives as Anti-Infectives
Anti-Infective Agents in Medicinal Chemistry Matching Chelators to Radiometals for Positron Emission Tomography Imaging- Guided Targeted Drug Delivery
Current Drug Targets Synthesis and Functionalization of Indoles through Rhodium-Catalyzed Reactions
Current Organic Synthesis Nitrogen Containing Privileged Structures and their Solid Phase Combinatorial Synthesis
Combinatorial Chemistry & High Throughput Screening Potassium Channels as Targets for the Management of Pain
Central Nervous System Agents in Medicinal Chemistry The Solid State, Solution and Tubulin-Bound Conformations of Agents that Promote Microtubule Stabilization
Current Medicinal Chemistry - Anti-Cancer Agents Antioxidant and Antimicrobial Activities of Cinnamic Acid Derivatives
Mini-Reviews in Medicinal Chemistry FMRI of the Emotions: Towards an Improved Understanding of Amygdala Function
Current Medical Imaging Design, Synthesis, and Activity Evaluation of a New 5-fluorouracil Prodrug Containing an Asn-Gly-Arg(NO2)COOCH3 Tripeptide
Protein & Peptide Letters A Functional Scaffold in Marine Alkaloid: An Anticancer Moiety for Human
Current Medicinal Chemistry An Insight into Pandemic COVID-19: Structure, Epidemiology and Therapeutics
Current Biotechnology Use of Polypharmacy and Emergence of COVID-19 Variants - Are they Co-Related?
Current Drug Safety Update on SAR Studies Toward New COX-1 Selective Inhibitors
Current Medicinal Chemistry Imidazole Incorporated Semicarbazone Derivatives as a New Class of Anticonvulsants: Design, Synthesis and In-Vivo Screening
Medicinal Chemistry Progress and Prospects: The Use of 3D Spheroid Model as a Relevant Way to Study and Optimize DNA Electrotransfer
Current Gene Therapy Antimicrobial Potential of Benzimidazole Derived Molecules
Mini-Reviews in Medicinal Chemistry Relationship Between Carbapenems Structure and Minimal Inhibitory Concentration Selected Bacterial Strains
Letters in Drug Design & Discovery Fetal Distress Classification with Deep Convolutional Neural Network
Current Women`s Health Reviews