Elsevier introduces new version of Reaxys Medicinal Chemistry
Information analytics company Elsevier has released a new version of Reaxys Medicinal Chemistry, which will facilitate discoverability and extraction of relevant chemistry data.
The new version exhibits substantial usability improvement to provide a streamlined and intuitive user interface to make the solution more user-friendly.
In addition, the new version uses machine learning algorithms to enhance search functionality.
With these updates, the Reaxys Medicinal Chemistry will be more accessible to a broader user base and it is expected to help researchers make better connections between chemical compounds and bioactivity data.
Elsevier R&D Solutions marketing senior director Thibault Geoui said: "The volume of published research grows daily. This is a ‘big data’ problem for medicinal chemists, who are increasingly relying on technology to sift the overwhelming amount of available data for relevant insights.
"With the average chemist spending between five to ten hours each week hunting for relevant data, these updates provide a next-generation tool that will deliver answers on-demand.
"With every iteration of Reaxys Medicinal Chemistry and Reaxys we continue to raise the standard for how chemists’ information needs are served.”
Reaxys Medicinal Chemistry also feature an improved ‘query builder’ with predefined forms with values and parameters, which will allow the user to easily perform complicated searches.
The ‘bioactivity table’ of results has been updated to show all possible interpretations of a search query on an intermediary results screen.
The user can now gain drug likeness properties displayed through a table or graph according to their specific requirements while the ‘heat map’ of results offers a full-screen view.
These improvements to the solution will assist researchers in navigating and visualising results, enabling them to preview findings, assess multiple options and choose the result most suitable for their requirements.
It also extends the range of content used as a source of index terms to retrieve compound structure, property and reaction data from 18,000 journals and other patented content.