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From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase Hinz UCell Mol Life Sci 2010[Apr]; 67 (7): 1049-64With the dramatic increase in the volume of experimental results in every domain of life sciences, assembling pertinent data and combining information from different fields has become a challenge. Information is dispersed over numerous specialized databases and is presented in many different formats. Rapid access to experiment-based information about well-characterized proteins helps predict the function of uncharacterized proteins identified by large-scale sequencing. In this context, universal knowledgebases play essential roles in providing access to data from complementary types of experiments and serving as hubs with cross-references to many specialized databases. This review outlines how the value of experimental data is optimized by combining high-quality protein sequences with complementary experimental results, including information derived from protein 3D-structures, using as an example the UniProt knowledgebase (UniProtKB) and the tools and links provided on its website ( http://www.uniprot.org/ ). It also evokes precautions that are necessary for successful predictions and extrapolations.|*Databases, Protein[MESH]|*Protein Conformation[MESH]|*Sequence Analysis, Protein[MESH]|Binding Sites[MESH]|Catalytic Domain[MESH]|Knowledge Bases[MESH]|Proteins/*chemistry/genetics[MESH] |
