VSS Editor: David Riddick

Submission Deadline: April 30, 2025

DMD invites original research articles and mini-reviews on topics related to sex differences in or hormonal regulation of any aspects of drug metabolism, drug transport or drug disposition. Mechanistic studies of the metabolism, transport or disposition of endogenous hormones or exogenous endocrine-disrupting chemicals are also welcomed. Consideration will be given to studies including, but not limited to, in vitro systems, animal models and clinical investigations.

VSS Editor: Scott Obach

Submission Deadline: April 30, 2025

DMD is inviting original research articles and reviews on the topic of protein degraders (a.k.a. PROTACS). Over the past several years, protein degrader molecules have offered those involved in designing and developing new drugs a novel modality and mechanism for engaging pharmacological targets. However, the complexity of their chemical structures has also posed new challenges to drug disposition scientists engaged in characterizing their ADME properties. Furthermore, their mode of action has generated new challenges to researchers engaged in understanding pharmacokinetic-pharmacodynamic (PK/PD) relationships for these novel molecules. We invite papers describing the overall disposition of protein degrader molecules in mammalian systems, their metabolism, how they can be dosed and delivered, how technical challenges working with these molecules in the lab can be overcome, as well as modeling their PK/PD, and PB/PK relationships, among other topics.

VSS Editor: Sean Ekins

Submission Deadline: July 31, 2025

DMD is inviting original research articles and minireviews on the topic of AI-based prediction of drug disposition and toxicity. AI has been constantly in the news in recent years so there is considerable excitement and hype around what this technology can do in many different areas. Drug discovery is not immune from this. Even though computational approaches have been applied in many areas from toxicity, metabolism and drug-drug interaction prediction for several decades, the recent availability of bigger datasets (big data), more powerful computational power (cloud computing, GPUs) and algorithms (deep learning, transformers - large language models) provides a foundation for broader impact in the field. We would like to explore the potential of AI for ADME and toxicity prediction to separate the hype from the reality and now invite your article submissions.

Guest Editor: Paresh Chothe

Submission Deadline: April 30, 2025

DMD is inviting original research articles and reviews on the topic of “Bench-to-Bedside: Drug Metabolizing Enzymes and Transporters (DMETs) in Drug Disposition in Specific Population.” The advancements in in vitro methodologies, proteomics, IVIVE methods, and PBPK modeling have revolutionized our ability to quantitatively predict the role of DMETs in ADME and DDIs. However, the paucity of data regarding alterations in DMETs activity in specific populations such as pregnant individuals, pediatrics, disease states has restricted our ability to realize the full potential of these recent advancements. A special supplementary issue focusing on in silico, in vitro, and in vivo approaches to characterize alteration in DMET activity and predict drug disposition in specific populations could provide valuable insights for researchers in the field of drug metabolism and disposition.

VSS Editor: Aiming Yu

Submission Deadline: August 31, 2025

DMD invites original research articles and minireviews (MRs) on topics related to the application of novel mass spectrometry methods in drug absorption, distribution, metabolism, excretion, and transport research. These include (not limited to) studies on method development, translation, and application, and MRs on current technological trends, application notes, and perspectives. Examples include drug disposition studies using novel mass spectrometry (e.g., imaging mass spectrometry). Accepted papers will be published in a regular DMD issue and archived here in the Special collection as a Virtual Special Issue.