Drug Metabolism and Pharmacokinetics

Scope & Guideline

Shaping the Future of Therapeutics Through Metabolism Insights

Introduction

Welcome to your portal for understanding Drug Metabolism and Pharmacokinetics, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1347-4367
PublisherJAPANESE SOC STUDY XENOBIOTICS
Support Open AccessNo
CountryJapan
TypeJournal
Convergefrom 2002 to 2024
AbbreviationDRUG METAB PHARMACOK / Drug Metab. Pharmacokinet.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressINT MED INF CENTER SHINANOMACHI RENGAKAN, 35 SHINANO-MACHI SHINJUKU-KU, TOKYO 160-0016, JAPAN

Aims and Scopes

The journal "Drug Metabolism and Pharmacokinetics" focuses on the intricate processes of drug metabolism, pharmacokinetics, and drug-drug interactions, emphasizing the importance of these areas in drug discovery and development.
  1. Drug Metabolism Mechanisms:
    Research on the biochemical processes by which drugs are metabolized in the body, including studies on cytochrome P450 enzymes and other metabolic pathways.
  2. Pharmacokinetic Modeling:
    Development and application of mathematical models to predict the absorption, distribution, metabolism, and excretion (ADME) of drugs, particularly through physiologically based pharmacokinetic (PBPK) models.
  3. Drug-Drug Interactions:
    Investigation of how different drugs affect each other's pharmacokinetics and pharmacodynamics, including the role of transporters and metabolic enzymes.
  4. Population Pharmacokinetics:
    Analysis of how drug pharmacokinetics vary among different populations, including genetic factors and ethnic differences.
  5. In Vitro and In Vivo Studies:
    Utilization of various experimental models, including animal models and human-derived systems, to study drug metabolism and pharmacokinetics.
  6. Emerging Technologies in Drug Development:
    Exploration of innovative methodologies such as machine learning, high-throughput screening, and organ-on-a-chip technologies to enhance drug development processes.
The journal has seen a surge in interest in several emerging themes, reflecting the ongoing evolution of drug metabolism and pharmacokinetics research.
  1. Physiologically Based Pharmacokinetic Modeling (PBPK):
    An increasing trend towards using PBPK modeling to predict drug behavior and interactions in humans, highlighting its importance in regulatory submissions and personalized medicine.
  2. Machine Learning Applications:
    Growing integration of machine learning techniques in pharmacokinetic modeling and drug discovery, enhancing the ability to predict drug metabolism and interactions.
  3. Microbiome Influence on Drug Metabolism:
    Emerging research on the role of gut microbiota in drug metabolism and pharmacokinetics, recognizing the significant impact of the microbiome on drug efficacy and safety.
  4. 3D Cell Culture Models:
    Increased use of advanced in vitro models, such as 3D cultures and organoids, for more accurate predictions of human drug metabolism and toxicity.
  5. Biomarker Identification for Drug Response:
    A trend towards identifying biomarkers that can predict individual responses to drugs, which is vital for the implementation of precision medicine.
  6. Focus on Rare Genetic Variants:
    An emerging emphasis on studying rare genetic variants in drug metabolism, recognizing their potential impact on drug efficacy and safety, particularly in diverse populations.

Declining or Waning

While the journal continues to explore a wide array of topics, certain themes have shown a decline in prominence, reflecting shifts in research focus and advancements in methodologies.
  1. Traditional Drug Interaction Studies:
    Research focused solely on traditional in vitro drug-drug interaction studies has been declining, as newer methodologies and models are developed that offer more predictive power.
  2. Animal Models in Drug Metabolism:
    There is a noticeable reduction in studies relying solely on animal models for drug metabolism research, with a shift towards more human-relevant in vitro systems and organoid models.
  3. Single Enzyme Studies:
    Investigations that focus on single enzyme activities without considering broader metabolic contexts and pathways are becoming less frequent, as there is a growing recognition of the complexity of drug metabolism.
  4. Generalized Pharmacogenomics:
    Research that does not take into account specific genetic variations in diverse populations is waning, as more studies emphasize personalized medicine and population-specific pharmacogenomics.

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