Biblioteket tilbyr nå tilgang til kjemidatabasen Reaxys.
The university library is now offering access to the chemical database Reaxys.
Reaxys vil holde en demonstrasjon for å hjelpe oss i gang: Mandag 20. mars kl. 14.15 (de som kun vil komme og stille spørsmål kan logge på kl 15.00)
Reaxys will hold a demonstration to help us get started: Monday March 20th at 14.15 (If you only want to come to ask questions, you can log on at 15:00)
Designed by chemists, Reaxys Academic Edition is a unique web-based chemistry tool, consisting of deeply excerpted compounds and related properties, reaction and synthesis information as well as bibliographic data, navigated and displayed via a user-friendly interface.
Improve how to search and filter for chemical substances, properties and reactions with Reaxys Academic Edition! You will: design experiments more successfully based on the most recent research and patent literature, study chemical compounds, biological targets and substance-target interactions, investigate published and predicted synthetic routes and carefully plan the budget needed for your research projects.
Reaxys Academic Edition provides access to: >257 million organic, inorganic and organometallic substances, including data on natural products with their species derivation; >60 million chemical reactions; >500 million published experimental facts, including substance property, spectral and reaction data; >101 million documents from a collection of over 16,000 chemistry-related periodicals from multiple publishers; >36 million patents from 105 patent offices with titles, abstracts and claims translated to English; 6 indexing sources for a cross-disciplinary view of chemistry.
Reaxys Academic Edition incorporates all the existing content of classic Reaxys. In addition, Reaxys Academic Edition supports research and teaching goals across all Chemistry disciplines with content and functionalities from 2 additional modules:
1) Reaxys Target & Bioactivity insights, the world’s largest medicinal chemistry database, containing in vivo, in vitro, efficacy, drug pharmacokinetics and safety/toxicity data to achieve rapid hit identification and lead optimization:
44 million bioactivity data points 37k biological targets 21k Cell lines from 56k species 8.2 million unique substances with bioactivity 146k medicinal chemistry patents 603k medicinal chemistry articles
2) Reaxys Predictive Retrosynthesis: creates robust predictions and feasible synthetic routes that leverages deep learning technology and reaction data from Reaxys to support synthesis planning of known and novel small organic molecules (“Target molecules”), as it combines three different neural networks together with Monte Carlo tree search (3N-MCTS) to perform chemical synthesis planning. 3N-MCTS is a deep neural network trained on known working reactions and on artificially generated non-working reactions, based on ~400,000 reaction transformation rules extracted from ~15 million single-step reactions from the Reaxys chemistry database.
More information: https://www.elsevier.com/solutions/reaxys/higher-education/chemistry-research-in-academia