Unraveling Complex Interactomes: The Role of Network Pharmacology in Cancer Therapeutics

Because of the wide range of tumor types, elevated toxicity, restricted effectiveness, and emergence of therapy tolerance, the problem of how to successfully discover new drugs for cancer patients remains unanswered. The majority of medications on the market today work by modifying several different cellular targets in order to produce their biological effects. A fresh framework known as polypharmacology, which is concerned with looking for several target medications to interfere with networks linked to disease, was created. The advancements in network biology have significantly improved our comprehension of the complex route connections in cancer. Hopkins pioneered network pharmacology, which improves the high rate of clinical success with fewer adverse effects. Network pharmacology may be deemed a suitable technique for drug discovery for complicated disorders like cancer when combined with comprehensive strategies grounded in polypharmacology and networking dynamics. Approaches like "-omics" are used in network pharmacology to detect differences at the fundamental molecular and cellular levels in cancer and other diseases in reaction to the particular medication and/or pathology. A deeper understanding of the causes of medication failure in terms of toxicity, side effects, and clinical efficacy may also be possible using networking pharmacology. Pharmacology networks are able to help avoid the problems associated with cancer treatment and expedite the development of novel chemotherapy drugs.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-13
DOI
https://doi.org/10.5281/zenodo.15019471
Primary Topic
Computational Drug Discovery Methods
Type
article
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0.00
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article

Unraveling Complex Interactomes: The Role of Network Pharmacology in Cancer Therapeutics

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Unraveling Complex Interactomes: The Role of Network Pharmacology in Cancer Therapeutics

article en

Abstract

Because of the wide range of tumor types, elevated toxicity, restricted effectiveness, and emergence of therapy tolerance, the problem of how to successfully discover new drugs for cancer patients remains unanswered. The majority of medications on the market today work by modifying several different cellular targets in order to produce their biological effects. A fresh framework known as polypharmacology, which is concerned with looking for several target medications to interfere with networks linked to disease, was created. The advancements in network biology have significantly improved our comprehension of the complex route connections in cancer. Hopkins pioneered network pharmacology, which improves the high rate of clinical success with fewer adverse effects. Network pharmacology may be deemed a suitable technique for drug discovery for complicated disorders like cancer when combined with comprehensive strategies grounded in polypharmacology and networking dynamics. Approaches like "-omics" are used in network pharmacology to detect differences at the fundamental molecular and cellular levels in cancer and other diseases in reaction to the particular medication and/or pathology. A deeper understanding of the causes of medication failure in terms of toxicity, side effects, and clinical efficacy may also be possible using networking pharmacology. Pharmacology networks are able to help avoid the problems associated with cancer treatment and expedite the development of novel chemotherapy drugs.

Zenodo (CERN European Organization for Nuclear Research)
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Computational Drug Discovery Methods
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