This paper describes the TED Corpus Search Engine (TCSE), an online corpus system that searches transcripts and translations of over 1,800 TED Talks, allowing users to query surface text forms, lemmas, parts-of-speech, or their combinations.
It's also built a mobile app and is working to integrate with Slack — environments where you don't have time to fiddle with a bunch of different filters or browse a bunch of different pages, so a search product needs to understand complex queries and surface the most important information from documents.
The rows represent SCOP protein classes: A - All alpha proteins (866 queries), B - All beta proteins (1034 queries), C - Alpha and beta proteins a/b (1310 queries), D - Alpha and beta proteins a + b (1219 queries), E - Multi-domain proteins (78 queries), F - Membrane and cell surface proteins and peptides (64 queries), and G - Small proteins (284 queries).
The most common problem with Roku was connecting to the Internet, which surfaced in 35 percent of FixYa's Roku queries.
Moreover, structural similarity scores are calculated for the query protein surface residues, and are expressed as different colors on the protein's surface.
This happened over a month ago, and the tweet quickly surfaced to the top of search results when entering the name of the jeweler's store name as a query.
We optimize the query and surface that data.
Local structural similarity scores are calculated and mapped to the query protein surface.
The final ensemble of atom-specific, bagging ANNs could then predict the interface atoms of a given query protein surface.
To facilitate the comparison with other methods, all query protein surface residues with structural similarity scores of 7, 8 or 9 are arbitrarily considered to be parts of binding sites.
