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Advancements in Drug Discovery: Metabolic Pathways and Bioanalysis of Promising Bioactive Compounds.

Journal: Drug Metabolism and Bioanalysis
Guest editor(s): Dr. Sarvesh Sabarathinam
Co-Guest Editor(s): Dr. Ankita Chatterjee , Dr. Manoj Narasimhan
Submission closes on: 24th October, 2026

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Introduction

The field of drug discovery has witnessed tremendous progress, with an increasing number of novel bioactive compounds showing potential in the treatment of complex diseases. However, understanding the metabolism of these compounds, along with their pharmacokinetics and bioanalysis, remains a critical step in the drug development process. The way in which bioactive compounds are metabolized can significantly influence their efficacy, toxicity, and overall therapeutic potential. Moreover, bioanalytical techniques are vital in tracking these compounds within biological systems, ensuring the right therapeutic concentrations, and confirming their safety and effectiveness. This special issue seeks to explore recent advancements in drug discovery, focusing on the metabolic pathways of bioactive compounds and the role of bioanalysis in shaping their clinical success. The issue will highlight cutting-edge research that bridges pharmacology, toxicology, and analytical chemistry, bringing together experts from various disciplines to offer comprehensive insights into the drug discovery process.

Keywords

Bioactive compounds, Metabolism, Toxicity, Pharmacokinetic, Pharmacodynamics.

Sub-topics

  • Metabolism of Bioactive compound(s)-Derived Bioactive: Enzymatic pathways (Phase I/II), cytochrome P450's role, genetic influences on the metabolism of plant compounds, metabolite ID/characterization (MS, NMR).
  • Pharmacokinetics/Bioavailability of Bioactive compound(s)-: ADME properties, delivery optimization for plant bioactives, food/disease/drug interactions specific to these compounds.
  • Bioanalysis of Bioactive compound(s): Advances in HPLC, UPLC, MS; novel methods for quantifying plant compounds and their metabolites in biological matrices; integration of in vitroin vivo, and clinical data.
  • Modeling of Bioactive compound(s) Metabolism: Computational/in silico predictions, AI/machine learning applied to plant-derived compound pharmacokinetics and bioanalysis.
  • Safety/Toxicology of Bioactive compound(s): Toxicity mechanisms, ADR prediction via metabolic profiling, and strategies to mitigate toxicity, particularly relevant to plant extracts and complex mixtures.

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