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Related Concept Videos

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Networks02:26

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Targets for Drug Action: Overview01:26

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Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

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Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Related Experiment Video

Updated: Feb 24, 2026

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

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Biomolecular Network Controllability With Drug Binding Information.

Lin Wu, Lingkai Tang, Min Li

    IEEE Transactions on Nanobioscience
    |August 16, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study identifies key biomolecules in biological networks for controlling cellular behavior. Prioritizing these molecules based on drug binding preferences aids in identifying new drug targets and repositioning existing drugs.

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    Area of Science:

    • Systems Biology
    • Network Science
    • Structural Control Theory

    Background:

    • Biomolecular networks govern cellular functions, making their control a central challenge in systems biology.
    • Structural controllability of biological networks is increasingly studied using minimum steering sets (MSSs).
    • Existing MSS approaches lack specificity, as different MSSs have varied importance in practical applications.

    Purpose of the Study:

    • To investigate minimum steering sets (MSSs) in biomolecular networks with a focus on drug binding information.
    • To identify MSSs that are enriched with known drug targets and have greater potential for drug interactions.
    • To explore novel applications for drug target identification and drug repositioning using network control principles.

    Main Methods:

    • Analysis of biomolecular networks using concepts from structural control theory.
    • Identification and characterization of minimum steering sets (MSSs).
    • Integration of drug binding data to assess the pharmacological relevance of identified MSSs.

    Main Results:

    • Biomolecules within MSSs exhibiting drug binding preferences are significantly enriched with known drug targets.
    • These preferred MSSs demonstrate a higher likelihood of chemical-binding opportunities with existing drugs compared to random MSSs.
    • The findings highlight the practical significance of specific MSSs in drug discovery contexts.

    Conclusions:

    • Minimum steering sets (MSSs) in biomolecular networks can be prioritized based on drug binding information.
    • This approach enhances the identification of potential drug targets and facilitates drug repositioning strategies.
    • Integrating network control theory with pharmacological data offers novel avenues for therapeutic development.