Special Issue "Drug–Drug Interactions—New Approaches and Perspectives"
Deadline for manuscript submissions: 30 September 2023 | Viewed by 383
Interests: drug repositioning; network pharmacology; drug–drug interactions; drug–drug similarity networks; drug solubility; drug bioavailability; biopharmacy; drug–cyclodextrin inclusion complexes
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Drug–drug interactions represent a crucial factor affecting pharmacotherapeutic success. Good knowledge of the mechanisms of drug–drug interactions is vital for avoiding them. Accordingly, pharmacists and prescribing doctors must consider the clinical context when assessing drug interactions; the clinical relevance of the same drug combination can differ in distinct pathophysiological states (e.g., extreme ages, pregnancy, diabetes, immune-system-related disorders, and so on). Multiple morbidities in the elderly or specific clinical circumstances that require more than two drugs are conditions for drug–drug interactions that could affect the therapeutic outcome. To evaluate drug–drug interaction in a clinical context, healthcare specialists can use multiple online tools to check drug interactions. However, in practice, they may obtain contradicting results for the same drug combination (An even more unwanted case is when an online drug–drug interaction checker does not include a required drug).
Extensive wet-lab experiments to screen all potential drug–drug interactions will address the information uncertainty in many online check tools (based on existing drug–drug interaction databases). Unfortunately, such an approach would be unfeasible, as covering the entailed search space requires enormous resources. This situation calls for computational methods to predict drug–drug interactions; such tools would substantially narrow the wet-lab experiments search space.
This Special Issue calls for papers presenting multiple aspects of drug interactions relevant to their assessment: mechanisms, evaluation of the clinical relevance, prediction algorithms, electronic alert systems, and the Internet of Medical Things (IoMT) applied in the clinical evaluation of drug–drug and drug–disease interactions.
Dr. Lucreția Udrescu
Manuscript Submission Information
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