Aim: The Journal of Modern Pharmaceutical Advances and Drug Discovery (JMPADD) is an international, peer-reviewed, open-access journal committed to publishing innovative research that advances pharmaceutical sciences, drug discovery, and therapeutic development. The journal aims to provide a multidisciplinary platform for researchers, pharmaceutical scientists, clinicians, and industry professionals to share scientific breakthroughs that contribute to the development of safe, effective, and accessible medicines. JMPADD encourages the integration of fundamental pharmaceutical research with translational and clinical applications, fostering innovation across the entire drug development pipeline.
Expanded Scope:
Drug Discovery & Therapeutic Innovation: Research focused on target identification, lead optimization, rational drug design, structure-based drug discovery, high-throughput screening, and the development of novel therapeutic agents for human diseases.
Pharmaceutics & Drug Delivery Systems: Studies involving formulation development, nanomedicine, controlled-release technologies, lipid-based carriers, biologic delivery systems, and advanced strategies for improving drug efficacy, stability, and bioavailability.
Pharmacology & Experimental Therapeutics: Investigations into drug mechanisms of action, pharmacodynamics, pharmacokinetics, toxicology, preclinical evaluation, and therapeutic assessment of emerging pharmaceutical compounds.
Medicinal Chemistry & Pharmaceutical Biotechnology: Research covering synthetic and medicinal chemistry, biopharmaceuticals, biologics, biosimilars, peptide therapeutics, gene-based therapies, and biotechnology-driven pharmaceutical innovation.
Clinical Pharmacy & Translational Medicine: Studies addressing clinical drug evaluation, personalized therapeutics, pharmacogenomics, medication optimization, clinical outcomes, and translational approaches that bridge laboratory discoveries with patient care.
Artificial Intelligence & Emerging Pharmaceutical Technologies: Research exploring AI-assisted drug discovery, computational chemistry, molecular modeling, bioinformatics, digital pharmaceutical technologies, and data-driven approaches that accelerate therapeutic development.
