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

Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

Protein Networks

Protein Networks

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,...

Protein Networks

Protein Networks

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Response Surface Methodology

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

Xylem and Transpiration-driven Transport of Resources

Xylem and Transpiration-driven Transport of Resources

The xylem of vascular plants distributes water and dissolved minerals that are taken up by the roots to the rest of the plant. The cells that transport xylem sap are dead upon maturity, and the movement of xylem sap is a passive process.

You might also read

Related Articles

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

Sort by

Same author

Liddle Syndrome Presenting as Hypertensive Crisis and Myocardial Injury in a Young Male: A Case Report.

Case reports in nephrology·2026

Same author

Design, synthesis, biological evaluation, and in silico characterization of chalcone derivatives as antidiabetic hits.

Scientific reports·2026

Same author

Libman sacks endocarditis with multivalvular involvement, hemorrhagic stroke, and concurrent mixed plasmodium malaria in systemic lupus erythematosus: a case report.

Journal of cardiothoracic surgery·2026

Same author

Meta-inflammation in Hidradenitis suppurativa: from pathogenic evidence to therapeutic approaches.

Frontiers in immunology·2026

Same author

Antiparasitic agents in oncology: Innovative mechanisms, emerging evidence and clinical potential in cancer treatment.

European journal of medicinal chemistry·2026

Same author

An Integrative Computational Pipeline for CK2 Inhibitor Discovery in Triple-Negative Breast Cancer Using Virtual Screening, Molecular Dynamics, Machine Learning, and Density Functional Theory.

Pharmaceuticals (Basel, Switzerland)·2026

Search research articles

Related Experiment Video

Updated: Feb 12, 2026

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Published on: April 7, 2023

Network Pharmacology: Exploring the Resources and Methodologies.

Junaid Muhammad¹, Abbas Khan¹, Arif Ali¹

¹Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Current Topics in Medicinal Chemistry

|March 31, 2018

Summary

Multi-target therapies are more effective for complex diseases like cancer and HIV-1 infection than single-target approaches. This is because diseases involve intricate gene networks, and targeting multiple pathways overcomes drug resistance.

Keywords:

Chemical-protein interactome Drug-target interaction Multi-target virtual screening Network pharmacology Side effect similarity Traditional chinese medicine.

More Related Videos

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression

Published on: February 24, 2023

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Related Experiment Videos

Last Updated: Feb 12, 2026

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Published on: April 7, 2023

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression

Behavioral and Network Pharmacology-Based Analyses for the Traditional Mongolian Medicine Zadi-5 in a Rat Model of Depression

Published on: February 24, 2023

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Area of Science:

Systems biology
Pharmacology
Genomics

Background:

Complex diseases involve intricate gene networks, making single-target therapies often insufficient.
Drug resistance develops due to feedback loops and pathway redundancy in mono-therapies.
Network-based approaches are crucial for understanding and treating complex diseases.

Purpose of the Study:

To review advances in identifying drug target interactions.
To explore the application of these methods in understanding drug poly-pharmacology.
To highlight the benefits of multi-target therapeutics for complex diseases.

Main Methods:

Review of methodologies for drug target interaction identification.
Analysis of applications in poly-pharmacology.
Examination of network-based drug development strategies.

Main Results:

Multi-target therapies demonstrate higher efficacy in complex diseases compared to mono-therapies.
Network-based drug development offers a more robust strategy against disease evolution.
Understanding drug target interactions is key to developing effective poly-pharmacology.

Conclusions:

Multi-target therapeutics are essential for overcoming drug resistance in complex diseases.
Network-based perspectives are vital for future drug discovery and development.
Methodologies for identifying drug target interactions are advancing therapeutic strategies.