Pharmacophore an International Research Journal
Pharmacophore (ISSN: 2229-5402) is an international, multidisciplinary journal devoted to advancing research at the intersection of artificial intelligence, computational science, and pharmaceutical and medical practice. The journal brings together researchers, clinicians, healthcare professionals, industry specialists, and academics working to apply data-driven and AI-based methods to problems in drug discovery, healthcare delivery, regulatory science, and clinical practice. Its central aim is to support rigorous, original research that contributes to the digital transformation of the pharmaceutical and biomedical sciences.
The journal provides a forum for the exchange of ideas, computational techniques, and evidence-based applications addressing current and emerging challenges in pharmaceutical and biomedical research, and it publishes original research articles, review articles, systematic reviews, meta-analyses, clinical trials, cross-sectional studies, case studies, methodological papers, and letters to the editor.
Particular emphasis is placed on computational and AI-based pharmaceutical sciences, encompassing machine learning, deep learning, generative AI, predictive analytics, bioinformatics, computational modeling, data mining, cheminformatics, pharmacometrics, and digital health technologies as applied to pharmaceutical and medical problems.
Within this scope, the journal welcomes contributions on AI-driven drug discovery and development, computer-aided drug design (CADD), computational chemistry, molecular modeling, quantitative structure–activity relationship (QSAR) analysis, systems and network pharmacology, multi-omics and biomedical data science, precision medicine, clinical decision support systems, real-world evidence, and health informatics.
Coverage also extends to emerging digital health technologies — including the Internet of Medical Things (IoMT), wearable health systems, blockchain applications in healthcare, telemedicine, robotics in pharmaceutical manufacturing, and digital therapeutics — where computational and AI-based approaches are contributing to improved healthcare delivery and pharmaceutical innovation.
In addition, Pharmacophore accepts research in core pharmaceutical and medical sciences where computational, AI-based, or quantitative methods are applied, including medicinal and pharmaceutical chemistry, drug development, pharmacology and toxicology, pharmaceutics, biopharmaceutics, pharmacokinetics, pharmacognosy, pharmaceutical biotechnology, analytical sciences, clinical pharmacy, translational medicine, regulatory science, nanotechnology-based drug delivery, and molecular and cellular medicine.
The journal encourages interdisciplinary work that connects pharmaceutical sciences with artificial intelligence, computer science, data science, and biomedical engineering to develop practical solutions for drug discovery, personalized medicine, disease prediction, and healthcare optimization.
Pharmacophore upholds the highest standards of scientific integrity, transparency, and methodological rigor. All submitted manuscripts undergo a strict double-blind peer-review process conducted by qualified subject-matter experts.
Through ongoing collaboration among researchers, clinicians, data scientists, AI specialists, industry partners, and academic institutions, the journal seeks to advance scientific knowledge and support innovative solutions that improve healthcare outcomes in the era of artificial intelligence and computational medicine.
Pharmacophore is published bimonthly, with six issues released each year — in February, April, June, August, October, and December.
