New Trends in Drug Pharmacokinetics and Metabolism Research
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Pharmacology and Drug Metabolism".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 202
Special Issue Editors
Interests: drug metabolism; cancer research; pharmaceutics; toxicity; enzyme; tradditional medicine; nanotechnology; pharmacological; animal model
Interests: drug metabolism; carboxylesterase; pharmacokinetics; pharmacodynamics; pharmacogenomics; drug abuse
Special Issue Information
Dear Colleagues,
Pharmacokinetics (PK) examines how drugs are absorbed, distributed, metabolized, and excreted in the body. Drug metabolism focuses on the biochemical transformation of drugs, emphasizing enzyme pathways, metabolite identification, stability, and interactions. Together, these areas play a crucial role in drug design, safety assessments, personalized medicine, regulatory approval, and therapeutic monitoring.
Recent trends include an increase in FDA approvals for biologic drugs, such as monoclonal antibodies, peptides, and gene therapies, which target complex diseases such as cancer and autoimmune disorders. Additionally, the integration of artificial intelligence (AI) into drug discovery and development is accelerating. The FDA’s establishment of an AI Council highlights the growing role of AI in regulatory science. These advancements reflect a shift towards more personalized and multidisciplinary approaches in drug development, combining molecular biology, pharmacology, computational science, and regulatory expertise. A deep understanding of PK and metabolism remains essential to achieving therapeutic success while minimizing adverse effects.
For this Special Issue, we welcome high-quality original research papers and reviews in the fields of drug pharmacokinetics and metabolism. Submissions may focus on new trends and innovative studies, including the following:
- Local bioavailability of drugs;
- Drug–drug and drug–herb interactions;
- Applications of machine learning and advanced modeling techniques;
- The role of the gut microbiome in drug metabolism;
- In vitro to in vivo extrapolation;
- Pharmacokinetics and metabolism of monoclonal antibodies, peptides, and oligonucleotides.
Additional topics include the following:
- Advanced modeling techniques;
- Identification of new drug modalities;
- Applications of mass spectrometry in DMPK (drug metabolism and pharmacokinetics);
- Machine learning and AI in PK/PD modeling;
- Pharmacogenomics and personalized medicine.
We encourage researchers to contribute cutting-edge studies and insights that advance understanding in these vital areas of drug development.
Dr. Rongjin Sun
Prof. Dr. Steven C. Laizure
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly 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
- local bioavailable drug
- drug–herb interactions
- machine learning
- advanced modeling techniques
- gut microbiome
- in vitro to in vivo extrapolation
- monoclonal antibodies
- peptides
- oligonucleotides
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