SOS Content Formats

The content of Science of Synthesis is available in three different “aggregate states”. Depending on your needs, you can explore its wealth of knowledge either via the SOS Online Platform or within the SOS eBooks. Alternatively, you can use the SOS Reaction Datasets, where all the structures and reactions are in machine-readable format that can be used for cheminformatics applications, such as training algorithms.

The SOS eBook Collection comprises more than 300 volumes, covering over a century of synthetic organic chemistry. Starting from the original German “Houben-Weyl” print editions, the complete content was rewritten and revised in the English language Science of Synthesis series.

Since 2010, the “Knowledge Updates” are regularly added to supplement Science of Synthesis with new and improved methods and new product sub(classes). The “Reference Library” volumes cover the latest trends in organic chemistry and related disciplines, from electrochemistry in organic synthesis to DNA-encoded libraries.

You can purchase the SOS eBook volumes by publication year in order to keep the collection in your own library up to date. Alternatively, if you focus on a special research field, you can buy bundled topic-related packages (for example the organometallic series).

The SOS Datasets are high-quality, machine-readable structure and reaction datasets derived from the expert-curated Science of Synthesis reference work on organic and organometallic chemistry. The data contains reliable, synthesis-relevant reactions that have been selected by proven experts. The SOS Datasets can be used for the training of AI models and algorithms designed for reaction prediction and retrosynthesis.

The SOS Datasets are intended for “real-life chemists” such as process, medicinal, or synthetic organic chemists, as well as “virtual chemists” including cheminformaticians, theoretical chemists, and data scientists involved in computer-aided synthesis design and reactivity modeling.

SOS Datasets are designed to support chemical institutes and companies for training their inhouse models or supplementing existing datasets, as well as for software companies providing synthesis solutions to their customers.