Pharmacophore is an international, double-blind peer-reviewed journal dedicated to advancing Computational and AI-based Pharmaceutical Sciences through the publication of high-quality, innovative, and scientifically rigorous research.
The journal provides an interdisciplinary platform for research at the intersection of pharmaceutical sciences, computational technologies, and artificial intelligence, with particular emphasis on digital innovation, data-driven approaches, and next-generation drug discovery and development.
Pharmacophore welcomes original research articles, reviews, short communications, and methodological studies in areas including, but not limited to:
• Artificial intelligence and machine learning in pharmaceutical sciences
• Computational drug discovery and computer-aided drug design
• Molecular modeling, docking, and simulation studies
• Computational pharmacology and toxicology
• Bioinformatics, pharmacogenomics, and systems biology
• Pharmaceutical data science and predictive analytics
• AI-assisted drug repurposing and therapeutic discovery
• Pharmaceutics, formulation modeling, and drug delivery technologies
• Pharmaceutical biotechnology and computational biology
• Ethical, regulatory, and translational aspects of AI in pharmaceutical sciences
All submissions undergo rigorous double-blind peer review to ensure scientific quality, methodological rigor, and ethical scholarly publishing.
As an open-access journal, Pharmacophore supports the responsible global dissemination of scientific knowledge in computational and AI-based pharmaceutical sciences.