Text-mining in molecular biology -- defined as the automatic extraction of 
information about genes, proteins and their functional relationships from text 
documents -- has emerged as a hybrid discipline on the edges of the fields of 
information science, bioinformatics and computational linguistics. A range of 
text-mining applications have been developed recently that will improve access 
to knowledge for biologists and database annotators.