Related Experiment Video
Updated: Mar 10, 2026
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
The use of different types of networks, alone and in combination, for drug target identification
Paolo Parini1,2
1Cardio Metabolic Unit, Department of Medicine, and Department of Laboratory Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden.
Abstract:
Current therapeutic approaches often focus on targeting clinical symptoms or peripheral phenotypes rather than the underlying molecular mechanisms, or endophenotypes, that drive diseases. While symptom-based drugs can alleviate discomfort, they do not necessarily alter disease progression and may overlook opportunities for prevention or early intervention in asymptomatic patients. This approach can lead to overtreatment of certain disease traits while neglecting others that are critical for long-term outcomes. In contrast, mechanism-based therapies offer advantages such as specificity and reduced side effects, allowing for the management of previously untreatable conditions or complementing established treatments. These therapies enable monitoring of drug effects on the endophenotype driving the disease, facilitating personalised treatment regimens and improving patient compliance. Mechanism-based drugs are essential for precision prevention and therapy. Network Medicine plays a vital role in understanding diseases by identifying key endophenotypes and determinants influencing disease expression. Unlike reductionist methods, it provides insights into disease mechanisms and potential therapeutic targets by examining interactions among genetic, molecular and environmental factors. As part of Network Medicine, Network Pharmacology bridges the gap between symptom-based and mechanism-based strategies, guiding drug development while considering symptomatic relief. This short review focus on creating heterogeneous networks to integrate various drug, target and disease-related information. These approaches can create comprehensive representations of drugs and targets by incorporating diverse profiles, enhancing the prediction performance of drug target interactions. LINKED ARTICLES: This article is part of a themed issue Network Medicine and Systems Pharmacology. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v183.8/issuetoc.
Insights
Mechanism-based therapies, guided by Network Medicine and Network Pharmacology, offer precise disease treatment by targeting underlying molecular mechanisms (endophenotypes). This approach enhances drug development and personalized patient care for better outcomes.
Area of Science:
- Systems Biology
- Pharmacology
- Computational Biology
Background:
- Current therapies often target symptoms, not root causes (endophenotypes), limiting effectiveness and missing early intervention opportunities.
- Symptom-based approaches may lead to overtreatment and neglect critical disease drivers, impacting long-term patient outcomes.
- Mechanism-based therapies offer specificity, reduced side effects, and enable personalized treatment by targeting disease endophenotypes.
Purpose of the Study:
- To review the role of Network Medicine and Network Pharmacology in understanding disease mechanisms.
- To highlight the advantages of mechanism-based therapies over symptom-based approaches.
- To discuss the integration of diverse data for creating heterogeneous networks in drug discovery.
Main Methods:
- Review of Network Medicine principles for disease mechanism identification.
- Exploration of Network Pharmacology for bridging symptom-based and mechanism-based drug development.
- Focus on constructing heterogeneous networks integrating drug, target, and disease information.
Main Results:
- Network Medicine identifies key endophenotypes and disease determinants by analyzing complex interactions.
- Network Pharmacology guides drug development by considering both mechanism and symptomatic relief.
- Heterogeneous networks improve the representation of drugs and targets, enhancing prediction of drug-target interactions.
Conclusions:
- Mechanism-based drugs are crucial for precision prevention and therapy.
- Network Medicine provides a systems-level understanding of diseases and potential therapeutic targets.
- Integrating diverse data into heterogeneous networks is key for advancing drug discovery and personalized medicine.
More Related Videos
06:26Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
Published on: May 16, 2021
13:18Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
Published on: March 3, 2023
Related Concept Videos
01:26Drug Discovery: Overview
02:26Protein Networks
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,...
01:26Targets for Drug Action: Overview
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...
01:29Pharmacogenomics: Identification of New Drug Targets
02:04Protein-protein Interfaces
01:28Structure-Activity Relationships and Drug Design
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...