QSAR & Combinatorial Science focuses on quantitative structure-activity relationships (QSAR) and combinatorial chemistry, essential for drug discovery and materials science. It offers a platform for original research and reviews, bridging theoretical and experimental approaches. It primarily deals with chemoinformatics and the development of predictive models.
The journal emphasizes topics such as drug discovery, computational chemistry, and the design of novel compounds with tailored properties. It is indexed in key databases including CAS, Scopus, and Web of Science, ensuring wide visibility within the scientific community. The primary audience includes researchers in medicinal chemistry, pharmaceutical sciences, and materials science.
With its emphasis on cutting-edge research and practical applications, QSAR & Combinatorial Science strives to drive innovation and efficiency in drug development and materials design. Authors are encouraged to submit research that advances the understanding of structure-activity relationships. The journal is dedicated to serving as a resource for scientists aiming to accelerate the discovery of new therapeutics and materials.