Network Pharmacology: An Emerging Field in Drug Discovery
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1298
Special Issue Editor
Interests: the relationship between enzyme structure and function; computer-aided drug design; computational structural biology; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Network pharmacology is an emerging interdisciplinary field that integrates systems biology, network analysis, and pharmacology to explore the complex interactions between drugs, targets, and diseases. By analyzing the intricate networks of biological systems, network pharmacology aims to provide a holistic understanding of drug actions and their effects on the body, thereby addressing the multifaceted nature of diseases. This approach has revolutionized traditional drug discovery by shifting the focus from single-target to multi-target strategies, enabling the identification of novel therapeutic agents and the optimization of existing ones.
The purpose of this Special Issue is to provide a comprehensive overview of the state of the art in network pharmacology methodologies and their applications in drug discovery and development. We welcome original research articles, review articles, and short communications on one or more of the following topics:
- Development, implementation, and application of network pharmacology databases;
- Development and application of new network analysis tools and algorithms;
- Integration of multi-omics data in network pharmacology studies;
- Construction, visualization, and analysis of drug–target interaction networks;
- Identification of novel drug targets and pathways through network pharmacology;
- Application of network pharmacology in understanding complex diseases and multi-target drug discovery;
- Development and application of computational models for predicting drug efficacy and safety;
- Case studies on the successful application of network pharmacology in drug discovery and repurposing.
We hope that this Special Issue will serve as an entry point for newcomers into the exciting world of network pharmacology as well as a valuable reference for more experienced practitioners in the field.
Prof. Dr. Weiwei Han
Guest Editor
Manuscript Submission Information
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Keywords
- network pharmacology
- machine learning
- databases
- drug discovery
- computer-aided drug design (CADD)
- data mining
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