Tunable Machine Vision-Based Strategy for Automated Annotation of Chemical Databases
Tunable Machine Vision-Based Strategy for Automated Annotation of Chemical Databases is a scholarly work, published in 2009 in ''Journal of Chemical Information and Modeling''. The main subjects of the publication include natural product, database, information retrieval, precision and recall, data mining, artificial intelligence, drug design, computer science, annotation, similarity, chemical database, PubChem, machine learning, virtual screening, and machine vision. The authors present a tunable, machine vision-based strategy for automated annotation of virtual small molecule databases.