Dual-wield NTPases: A novel protein family mined from AlphaFold DB

AlphaFold protein structure database (AlphaFold DB) archives a vast number of predicted models. We conducted systematic data mining against AlphaFold DB and discovered an uncharacterized P-loop NTPase family. The structure of the protein family was surprisingly novel, showing an atypical topology for P-loop NTPases, noticeable twofold symmetry, and two pairs of independent putative active sites. Our findings show that structural data mining is a powerful approach to identifying undiscovered protein families.

Methods of knowledge discovery in tweets

1) to describe web mining methods for knowledge discovery in Tweets, and 2) to illustrate application of the methods using the topic of physical activity. Methods described include: 1) structure mining to discover structures (macro-, meso-, and micro-level) of Tweet networks using social network analysis, and 2) content mining to discover Tweet contents using n-gram based text analysis and sentiment analysis. Specific web mining tools for each step of the web mining process (e.g., NodeXL, ORA, Pajek, Weka) are detailed. Our novel application of web mining methods was useful in understanding multiple dimensions of physical activity. The methods that we applied may be useful to others wishing to mine social media for health-related purposes.