Beyond antibodies: BenchSci can now identify and extract sequences for RNAi reagents from scientific publications. Available to select groups.
BenchSci has made the next leap in empowering you to run better, more successful experiments. Building on the technologies and approaches we pioneered for the antibody platform, our advanced AI can now identify the use of RNA interference reagents in genetic manipulation experiments and extract those sequences from the literature. These advances capture more custom products, allowing you to discover critical information on a broader range of RNAi reagents.
Not all scientific publications include a full product citation with vendor and catalog information for RNAi products used in the research, particularly when reagents are developed in-house. To address this, we trained our AI to comb through the text in search of the RNAi sequences referenced in figures. The relative ease of generating bespoke RNAi reagents means that having the sequence information is no less meaningful than a vendor catalog number. This is a powerful and invaluable use of our machine learning algorithms, allowing you to identify sequences that are likely to succeed in knockout and knockdown experiments with greater confidence.
Why the beta tag? Our AI is getting better at understanding the different ways that scientists write about RNAi sequences, but it may occasionally capture flanking primer sequences too, for example. When you find a sequence you like, we recommend clicking out to the original publication, which gives you the opportunity to learn if it is an siRNA, shRNA, or miRNA product and to verify the sequence. We continue to train and refine our models to improve our accuracy in identifying and extracting this complex data, but we wanted to make it available to you on BenchSci to use as quickly as we could.
On the platform, expanding a figure that contains RNAi sequence data will display the sequence information in a card as shown below. Clicking on See Sequence Details takes you to a sequence page that aggregates the data we have, including the cell lines studied and other figures that used the sequence. See below for a brief demonstration of navigating the RNAi sequence info!