Medicinal Plants Research and AI: From Secondary Metabolite Modeling to Quality Control
A Special Issue of Plants (ISSN 2223-7747) belonging to the section "Plant Modeling".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 163
Editor
Interests: secondary metabolites; network pharmacology, exosomes, stress response; plant metabolism; plant defense mechanism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Medicinal plants remain essential sources of bioactive compounds, traditional therapeutics, and nutraceuticals, and offer directions for plant-derived drug discovery. However, medicinal plant research is increasingly challenged by complex phytochemical diversity, variable secondary metabolite accumulation, inconsistent raw material quality, adulteration and limited reproducibility across studies. Artificial intelligence and data-driven approaches now offer new opportunities to improve this field by supporting secondary metabolite prediction, phytochemical profiling, authentication, quality control, and sustainable utilization.
This Special Issue, “Medicinal Plants Research and AI: From Secondary Metabolite Modeling to Quality Control”, welcomes original research articles, reviews, and methodological studies that apply artificial intelligence, machine learning, deep learning, chemometrics, computer vision, molecular modeling, network analysis, metabolomics, and multi-omics integration to medicinal plant science. Topics may include AI-assisted prediction of secondary metabolite biosynthesis, phytochemical fingerprinting, LC–MS/GC–MS/NMR/spectroscopy-based classification, plant authentication, adulteration detection, bioactivity prediction, extraction optimization, quality assessment of herbal materials, and modeling of environmental or developmental effects on metabolite accumulation.
Studies combining computational approaches with botanical authentication, phytochemical validation, biological assays, or field-based evidence are particularly encouraged. This Special Issue aims to advance scientifically rigorous, reproducible, and data-supported approaches for medicinal plant research, from metabolite discovery to quality control and practical application.
Dr. Adnan Amin
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Plants is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- secondary metabolites
- digital twins
- machine learning
- phytochemical profiling
- plant authentication
- predictive modeling
- quality control
- molecular dynamics
- formulation design
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