Journal Guide

RSC Medicinal Chemistry publishes significant research in medicinal chemistry and related drug discovery science. Research articles published in RSC Medicinal Chemistry must show a breakthrough or significant advance on previously published work, or bring new thinking or results that will have a strong impact in their field. Topics within the journal's scope include, but are not limited to: design, synthesis and biological evaluation of novel chemical entities or biotherapeutic modalities; modifications of known chemical entities or biotherapeutic modalities that result in a significantly greater understanding of their structure-activity relationships, an improvement of their properties or provide other information of significant value; novel methodologies and technologies in the broader chemical and biological sciences; computational, machine learning and artificial intelligence (AI) studies are welcome where they significantly advance medicinal chemistry knowledge; studies that examine the effect of the molecular structure of a compound on pharmacokinetic behaviour and pharmacodynamics; studies that present new insights into drug design based on analysis of existing experimental datasets or new theoretical approaches if supported by experimental evidence; studies presenting new drug delivery systems with novel chemical agents are welcomed, in particular those that involve chemical modification of the delivery system of conjugation with novel delivery vectors.

RSC Pharmaceutics is a new gold open access journal leading the way in the field of Pharmaceutics. This journal publishes research focused on formulating a drug into a medicine, with the intention of achieving controllable drug delivery with high efficacy. Research published in RSC Pharmaceutics promotes step-change science in the field of Pharmaceutics, and, as such, all submissions must show clear innovation, be scientifically sound, and have a significant impact on the field. Research sharing new scientific findings from across the areas of chemistry, materials science, biomedical sciences, pharmaceutics and drug delivery are all welcomed. Topics include but are not limited to: • Formulation and design of medicines • Design and characterization of correct dosage forms • Physicochemical and biological properties of drugs and their carriers • Drug delivery devices and their mechanisms of release

RSC Sustainability welcomes all solutions-focused research dedicated to solving sustainability challenges. This includes, but is not limited to, technologies to achieve responsible consumption and production of chemical products (UN’s SDG:12), such as for the efficient use of nature’s resources, the elimination of hazardous substances in the production and use of chemical products (sustainable and green chemistry), their reuse and recycling (circular economy) and methods to analyse these (techno-enviro-economics). Beyond this, RSC Sustainability champions chemical science discoveries that contribute to and enable any of the UN’s Sustainable Development Goals, celebrates multidisciplinary collaboration, and welcomes work from the academic, industry, regulatory and government sectors.

RSS: Data Science and Artificial Intelligence provides a new forum for research of interest to a broad readership spanning the data science fields. RSS: Data Science and Artificial Intelligence has been created in recognition of the growing importance of data science in science and society and the need for a venue that truly spans the relevant fields. The journal will therefore welcome papers from across the breadth of data science, including AI, statistics, deep learning, machine learning, econometrics, bioinformatics, engineering, computational social sciences, and beyond.

RSS: Data Science provides a new forum for research of interest to a broad readership spanning the data science fields. RSS: Data Science has been created in recognition of the growing importance of data science in science and society and the need for a venue that truly spans the relevant fields. The journal will therefore welcome papers from across the breadth of data science, including AI, statistics, machine learning, econometrics, bioinformatics, engineering, computational social sciences and beyond. High-quality papers of broad interest to a wide data science readership and with multiple routes to impact are candidates for submission to RSS: Data Science. A strong level of technical exposition and data scientific content is encouraged, in line with the focus on a readership in the data sciences per se.