Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Transducer Mechanism: Enzyme-Linked Receptors

Transducer Mechanism: Enzyme-Linked Receptors

Enzyme-linked receptors are cell-surface receptors acting as an enzyme or associating with an enzyme intracellularly. They make excellent drug targets. Drugs can bind to the extracellular ligand-binding domain or directly affect their enzymatic domain and alter their activity.
Major types that are helpful drug targets include:

Protein-Drug Binding: Determination Methods

Protein-Drug Binding: Determination Methods

Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...

You might also read

Related Articles

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

Sort by

Same author

Impact and outcomes after desensitization therapy in highly sensitized heart transplant candidates.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2025

Same author

Exon Utilization Improves Risk Stratification for Advanced Heart Failure in Titin Cardiomyopathy.

medRxiv : the preprint server for health sciences·2025

Same author

Mucin 1 antigen mimetic functionalized mannosylated peptide nanofibers for antigen uptake and immune modulation.

Biomaterials science·2025

Same author

Clinical Characteristics and Outcomes Associated With Immediate Versus Delayed Presentation of Severe Primary Graft Dysfunction After Heart Transplantation: Does Timing Matter?

Clinical transplantation·2025

Same author

Therapeutic Peptides, Proteins and their Nanostructures for Drug Delivery and Precision Medicine.

Chembiochem : a European journal of chemical biology·2024

Same author

Therapeutic synthetic and natural materials for immunoengineering.

Chemical Society reviews·2024

Same journal

Understanding glycan structure and function through artificial intelligence.

BBA advances·2026

Same journal

Role of recombinant S100A13 expression in regulating mitochondrial fission and fusion in lung epithelial cells.

BBA advances·2026

Same journal

Lysosomal membrane permeabilization is involved in CYP2E1-induced apoptosis in hepatocellular carcinoma cells.

BBA advances·2026

Same journal

miR-765 induces angiogenesis by inhibiting dipeptidyl peptidase 4 and increasing fibroblast growth factor 2.

BBA advances·2026

Same journal

Drying parameters and aging modulate protective properties of vitrified trehalose.

BBA advances·2026

Same journal

AGTRAP mediates exosome-driven communication between cancer cells and macrophages via p38 MAPK pathway to promote hepatocellular carcinoma.

BBA advances·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 23, 2025

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology

Published on: May 2, 2025

Protein recognition methods for diagnostics and therapy.

Ryne Montoya¹, Peter Deckerman¹, Mustafa O Guler¹

¹The Pritzker School of Molecular Engineering, The University of Chicago, 5640 S Ellis Ave Chicago, IL 60637 USA.

|March 10, 2025

Summary

This summary is machine-generated.

Protein recognition, vital for biological systems, relies on molecular interactions. Advances in characterization and AI enhance understanding and prediction for diagnostics and therapeutics, though challenges remain in complex cellular environments.

Keywords:

Antibodies Diagnostics Enzyme Immunotherapy Proteins

More Related Videos

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Related Experiment Videos

Last Updated: May 23, 2025

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology

Published on: May 2, 2025

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Area of Science:

Molecular Biology
Biochemistry
Computational Biology

Background:

Protein recognition mechanisms are fundamental to biological systems.
These interactions are critical for diagnostics and therapeutics.
Specificity relies on structural, dynamic, and biochemical factors, including molecular forces.

Purpose of the Study:

To explore the mechanisms of protein recognition.
To highlight the role of advanced tools in understanding these interactions.
To discuss applications in diagnostics and therapeutics and identify future challenges.

Main Methods:

Utilizing advanced characterization tools to study protein interactions.
Employing computational methods like AI, molecular docking, and simulations.
Investigating molecular forces governing binding specificity.

Main Results:

Improved understanding of protein interaction kinetics and thermodynamics.
Enhanced prediction accuracy for molecular interactions and binding sites.
Identification of protein recognition's pivotal role in diagnostics (e.g., ELISAs, biosensors) and therapeutics (e.g., drug design).

Conclusions:

Protein recognition is essential for diagnostics and drug development.
Despite progress, challenges persist in understanding interactions within complex cellular environments.
Future research should focus on enhancing detection and screening for clinical translation.