Novel Applications of Metabolomics in Drug Discovery
A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Medicinal Chemistry".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 13180
Special Issue Editors
Interests: network pharmacology; metabolomics; machine learning; chemotherapy toxicity; Chinese medicine
Special Issues, Collections and Topics in MDPI journals
Interests: functional metabolomics; bioanalysis; LC/MS; quality control; Chinese medicine
Interests: mass spectrometry; natural products; antioxidation; diabetes; lipidomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics is changing drug research. With improved analytical techniques and detailed metabolic network models, metabolomics is increasingly valuable for a wide range of pharmaceutical applications. Metabolomics has already revealed unexpected metabolite biomarkers and metabolic causes for several complex diseases, such as Alzheimer's disease, ischemic stroke, and cancer. These findings provide previously unsuspected drug targets and potential novel therapeutic strategies. Metabolomics can play a role in reducing drug failures due to toxicity in early-phase trials or drug withdrawals in late-phase trials. Meanwhile, metabolomics is also an effective means of mechanism exploration and drug discovery of natural products.
This Special Issue seeks novel research contributions, with particular emphasis on the following areas:
- Metabolomics-based strategy for drug discovery;
- Metabolic signatures for drug safety evaluation;
- Targets identification for drug discovery;
- The function of bioactive metabolites;
- Artificial intelligence and metabolomics “big data”;
- Novel metabolic network models for drug discovery.
Areas such as metabolic profiling and fingerprinting of herbal medicines, metabolite target analysis, and metabolomics in systems biology are included in the scope of this Special Issue. Manuscripts describing research not involving drugs and metabolites will not be considered.
We welcome and look forward to your submissions.
Dr. Yin Huang
Prof. Dr. Zunjian Zhang
Dr. Huimin Guo
Guest Editors
Manuscript Submission Information
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Keywords
- metabolomics-driven drug discovery
- metabolic network
- pharmaceutical application
- lipidomics
- drug target
- metabolic biomarker
- complex diseases
- toxicity
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