Related Experiment Video
Updated: Sep 30, 2025

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research
Published on: September 16, 2019
Physiological Considerations for Modeling in vivo Antibody-Target Interactions
Tyler Dunlap1, Yanguang Cao1,2
1Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Therapeutic antibody development faces challenges due to physiological factors impacting target interactions. Understanding tissue microenvironment influences antibody efficacy and guides rational drug design for better therapeutic outcomes.
Area of Science:
- Biotechnology
- Pharmacology
- Immunology
Background:
- The pipeline for therapeutic antibodies is expanding, showing higher success rates than small molecules.
- Therapeutic antibodies encounter unique development hurdles, including a translational gap between target affinity and therapeutic effect.
Purpose of the Study:
- To review how local physiological conditions affect antibody-target interactions.
- To highlight the importance of considering physiological factors in antibody development.
Main Methods:
- Literature review of studies examining antibody-target interactions in physiological contexts.
- Analysis of how physical stress, biological fluids, and membrane characteristics influence antibody dynamics.
Main Results:
- Physiological factors like physical stress and biological fluid composition can alter antibody-target association and dissociation rates.
- Tissue microenvironment and physiology critically influence antibody-target interactions, leading to apparent affinity changes.
- These factors impact dynamic target engagement, affecting overall therapeutic effectiveness.
Conclusions:
- Contextualizing antibody-target interactions within physiological conditions is crucial for realizing the full potential of therapeutic antibodies.
- Considering physiological factors early in development aids in rational antibody engineering, preclinical candidate selection, and lead optimization.
- Understanding these influences can bridge the translational gap and improve the success of antibody-based therapeutics.
Related Concept Videos
Physiological Pharmacokinetic Models: Assumption with Protein Binding
Antibody Structure
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
Model Approaches for Pharmacokinetic Data: Physiological Models
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

