title: Computer-assisted reading in drug discovery.
abstract: We are witnessing an exponential increase in the available publications, patents and textual documents that can no longer be assimilated by individual scientists. The complexity of the information landscape is further enhanced by the constantly growing number and diversity of databases and web-based information sources. Therefore, much scientific information might go unnoticed or untapped by a large portion of the scientific community. Consequently, scientists crucially need new methods and tools to find information and navigate the ever-evolving world of information. In this perspective, the author proposes that an integrated approach of text mining, advanced computing and modern library sciences is the key to developing new paradigms in computer-assisted reading and will be the key enablers of tomorrow's science.
authors.affiliation: Department of Systems Biology, Genome and Proteome Sciences, Novartis Institutes of BioMedical Research, Novartis AG, CH-4002 Basel, Switzerland. manuel.peitsch@novartis.com.
authors.forename: Manuel C
authors.initials: MC
authors.lastname: Peitsch