Jove
Visualize
Contact Us

Related Concept Videos

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
Adrenergic Receptors: ɑ Subtype01:31

Adrenergic Receptors: ɑ Subtype

Adrenoceptors are classified into α and ꞵ classes based on their potencies to catecholamine agonists. α-adrenoceptors show the following order of catecholamine potency:
Adrenaline ≥ Noradrenaline >> Isoprenaline
α-adrenoceptors are further divided into α1 and α2-adrenoceptors.
α1-Adrenoceptors: These receptors are located postsynaptically on the effector organs and cause constriction of smooth muscle mediated by activation of phospholipase C—inositol-1,4,5-trisphosphate...
Adrenergic Agonists: Therapeutic Uses01:30

Adrenergic Agonists: Therapeutic Uses

Adrenergic agonists have diverse therapeutic uses across various medical conditions and emergencies.
Emergency and Intensive Care Unit (ICU) applications: Pressor agents increase blood pressure, heart rate, and contractility in shock and organ failure situations. Dopamine can induce vasodilation and stimulate adrenoceptors. Endogenous catecholamines are effective in treating cardiogenic shock. α2-agonists like clonidine can reverse anesthesia-induced hypertension.
Allergies and anaphylaxis:...
Adrenergic Antagonists: ɑ and β-Receptor Blockers01:31

Adrenergic Antagonists: ɑ and β-Receptor Blockers

Third-generation β-blockers, such as labetalol and carvedilol, represent a significant advancement in managing cardiovascular conditions. Unlike conventional β-blockers, which can induce peripheral vasoconstriction, third-generation drugs block α1 adrenoceptors. This promotes vasodilation through several mechanisms, such as increased nitric oxide production, inhibition of calcium ion entry, opening of potassium ion channels, and antioxidant action. Labetalol, for instance, is clinically...
Adrenergic Agonists: Therapeutic Classification01:18

Adrenergic Agonists: Therapeutic Classification

Adrenergic agonists can be classified based on their therapeutic uses and mechanisms of action. They serve various purposes in clinical applications.
Vasopressor or pressor agents: They increase blood pressure and function as cardiac stimulants. Examples include endogenous catecholamines (norepinephrine and dopamine) and synthetic agents (phenylephrine).
Bronchodilators: β2-agonists can relax bronchial muscles and widen airways. They are commonly used for treating obstructive pulmonary...
Adrenergic Agonists: Mixed-Action Agents01:28

Adrenergic Agonists: Mixed-Action Agents

Mixed-action adrenergic agonists, like ephedrine and pseudoephedrine, directly and indirectly affect adrenergic receptors. These agents stimulate adrenoceptors and indirectly release stored neurotransmitters, amplifying the adrenergic response.
Ephedrine and pseudoephedrine lack a catecholamine group, making them less susceptible to degradation by metabolic enzymes. They have increased oral bioavailability and lipophilicity, resulting in a longer duration of action. Their response is reduced by...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prediction of Human Lethal Doses and Concentrations of MEIC Chemicals from Rodent LD<sub>50</sub> Values: An Attempt to Make Some Reparation.

Alternatives to laboratory animals : ATLA·2021
Same author

Classification (Agonist/Antagonist) and Regression "Structure-Activity" Models of Drug Interaction with 5-HT6.

Central nervous system agents in medicinal chemistry·2018
Same author

Aqueous Drug Solubility: What Do We Measure, Calculate and QSPR Predict?

Mini reviews in medicinal chemistry·2018
Same author

In silico Prediction of Aqueous Solubility: a Comparative Study of Local and Global Predictive Models.

Molecular informatics·2016
Same author

Physicochemical property profile for brain permeability: comparative study by different approaches.

Journal of drug targeting·2016
Same author

Use of artificial neural networks in the QSAR prediction of physicochemical properties and toxicities for REACH legislation.

Methods in molecular biology (Clifton, N.J.)·2014
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 3, 2026

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay
05:21

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay

Published on: September 13, 2024

Conference Report: update on ADMET.

John C Dearden1

  • 1Liverpool John Moores University, School of Pharmacy and Biomolecular Sciences, Byrom Street, Liverpool L33AF, UK. j.c.dearden@ljmu.ac.uk

Future Medicinal Chemistry
|March 24, 2011
PubMed
Summary
This summary is machine-generated.

This conference focused on drug discovery and development, offering training in absorption, distribution, metabolism, and excretion (ADME) properties. Key topics included in vitro and in silico methods for optimizing drug candidates and understanding binding kinetics.

More Related Videos

CAM-Delam Assay to Score Metastatic Properties by Quantifying Delamination and Invasion Capacity of Cancer Cells
12:14

CAM-Delam Assay to Score Metastatic Properties by Quantifying Delamination and Invasion Capacity of Cancer Cells

Published on: June 2, 2022

Related Experiment Videos

Last Updated: Jun 3, 2026

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay
05:21

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay

Published on: September 13, 2024

CAM-Delam Assay to Score Metastatic Properties by Quantifying Delamination and Invasion Capacity of Cancer Cells
12:14

CAM-Delam Assay to Score Metastatic Properties by Quantifying Delamination and Invasion Capacity of Cancer Cells

Published on: June 2, 2022

Area of Science:

  • Pharmacology and Drug Discovery
  • Computational Chemistry
  • Biotechnology

Background:

  • The conference provided specialized training courses on Absorption, Distribution, Metabolism, and Excretion (ADME) properties.
  • Key training modules covered digital ADME for optimizing drug candidates, dynamic evaluation of ADME properties, hERG channel interactions, and post-rule-of-5 optimization using binding kinetics.

Framework:

  • The event featured 19 formal presentations on February 24-25.
  • Presentations spanned two primary domains: in vitro experimental approaches and in silico computational methods.
  • Poster presentations offered additional insights and research findings throughout the conference.

Implementation:

  • Training courses offered practical knowledge in critical aspects of drug candidate optimization.
  • Formal presentations showcased advancements and methodologies in both experimental and computational drug discovery.
  • Poster sessions facilitated informal scientific exchange and highlighted emerging research.

Implications:

  • The conference aimed to enhance drug discovery pipelines through improved understanding of ADME properties.
  • Integration of in vitro and in silico strategies can accelerate the development of safer and more effective drug candidates.
  • Knowledge sharing on binding kinetics and optimization parameters is crucial for lead discovery and optimization in pharmaceutical research.