Knowledge-driven discovery

Improved future discovery through knowledge-driven research... 

Pirard B. Knowledge-driven lead discovery. Mini Rev Med Chem 2005 5(11) 1045-1052. 

In hypothesis-driven discovery programs, often a list of candidate markers are compiled using the current knowledge base. The list of candidates may be compiled with advanced bioinformatics data mining tools (i.e., electronic interpretation of scientific papers), which could generate candidates that represent members of a probable pathway, either as expressed genes, or proteins, or the affected metabolites. 

Data-driven or systems approaches have to rely on discovery science and hypothesis-driven research in individual fields of the life sciences and are complementary to them. Without knowledge gained with reductionist approaches, interpretation of data with the systems approach is not feasible. 

The discovery in 1934 of hydrates blocking energy flowlines led to a much more intensive period of hydrate research. Without knowledge of the hydrate structures, researchers generated methods to predict and to inhibit the conditions of hydrate formation in flowlines and to prevent them. Six major efforts, driven by pipeline discovery, hallmark this period. 

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