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

Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...

G Protein-coupled Receptors

G Protein-coupled Receptors

G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...

The Two-State Receptor Model

The Two-State Receptor Model

The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with...

Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

Ligand Binding Sites

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

Protein Organization

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....

You might also read

Related Articles

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

Sort by

Same author

CELLISA - a cell-cell binding assay for evaluation of nanovesicle targeting proteins.

bioRxiv : the preprint server for biology·2026

Same author

Distinguishing Pseudotransduction and True Transduction Enables Characterization and Bioengineering of Extracellular Vesicle-Adeno-Associated Virus Vectors.

Journal of extracellular vesicles·2026

Same author

GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.

ACS synthetic biology·2026

Same author

What do you most hope we will achieve with mammalian synthetic biology within the next decade?

Cell systems·2025

Same author

GCAD: a Computational Framework for Mammalian Genetic Program Computer-Aided Design.

bioRxiv : the preprint server for biology·2025

Same author

Conversion of natural cytokine receptors into orthogonal synthetic biosensors.

Nature chemical biology·2025

Same journal

Practical considerations for machine learning-enabled discoveries in spatial transcriptomics.

GEN biotechnology·2025

Same journal

Long-Term Suppression of RUNX2 During MSC-Based Cartilage Formation Increases Cartilage Matrix Accumulation.

GEN biotechnology·2025

Same journal

Developing Treatments for Rare Diseases on a Shoestring.

GEN biotechnology·2025

Same journal

Revolutionizing Postdoctoral Training Using the Social Ecological Model: Insights and Experiences from the Propel Scholars.

GEN biotechnology·2025

Same journal

Real-Time Monitoring in Biomanufacturing with Graphene Field-Effect Transistor Sensors: Detection of pH, Glucose, and Antibodies.

GEN biotechnology·2025

Same journal

<i>In Vivo</i> Prime Editing by Lipid Nanoparticle Co-delivery of Chemically Modified pegRNA and Prime Editor mRNA.

GEN biotechnology·2025

See all related articles

Search research articles

Home
Exploring Structure-function Relationships In Engineered Receptor Performance Using Computational Structure Prediction.

Home
Exploring Structure-function Relationships In Engineered Receptor Performance Using Computational Structure Prediction.

Related Experiment Video

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Exploring structure-function relationships in engineered receptor performance using computational structure

William K Corcoran^1,2,3, Amparo Cosio^1,3, Hailey I Edelstein^1,3

¹Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States.

GEN Biotechnology

|August 20, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Structural modeling tools can predict engineered receptor performance. This study used these tools to analyze cytokine receptors, finding structural features explain functional variations, guiding future synthetic receptor design.

Keywords:

Engineered receptors protein structure prediction structure-function relationship synthetic biology

More Related Videos

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Related Experiment Videos

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

Biochemistry
Molecular Biology
Immunology

Background:

Engineered receptors are crucial for cell-based therapies.
Understanding the structural basis of engineered receptor performance is limited.
Protein structure prediction tools offer new analytical possibilities.

Purpose of the Study:

To investigate if predicted structural features explain functional variations in engineered receptors.
To explore the utility of post hoc structural modeling in receptor design.
To assess the role of structural mechanisms in engineered receptor performance.

Main Methods:

Utilized advanced protein structure prediction tools for post hoc analysis.
Modeled a library of engineered receptors derived from natural cytokine receptors.

Quantified structural features to correlate with observed receptor performance.

Main Results:

Predicted structural features explained significant variation in engineered receptor performance for a subset of cases.
Observed trends in structural-performance correlations were consistent across diverse receptor sets.
Demonstrated the potential of structural modeling to elucidate functional differences.

Conclusions:

Protein structure prediction tools can provide insights into engineered receptor function.
Structural features are key determinants of engineered receptor performance.
Structure prediction-guided engineering holds promise for advancing cell-based therapies.