Database Commons

a catalog of worldwide biological databases

A large proportion of proteins expressed in Escherichia coli form inclusion bodies and thus require renaturation to attain a functional conformation for analysis. In this process, identifying and optimizing the refolding conditions and methodology is often rate limiting. In order to address this problem, we have developed REFOLD, a web-accessible relational database containing the published methods employed in the refolding of recombinant proteins. Currently, REFOLD contains >300 entries, which are heavily annotated such that the database can be searched via multiple parameters. We anticipate that REFOLD will continue to grow and eventually become a powerful tool for the optimization of protein renaturation. REFOLD is freely available at http://refold.med.monash.edu.au.

The expression and harvesting of proteins from insoluble inclusion bodies by solubilization and refolding is a technique commonly used in the production of recombinant proteins. To bring clarity to the large and widespread quantity of published protein refolding data, we have recently established the REFOLD database (http://refold.med.monash.edu.au), which is a freely available, open repository for protocols describing the refolding and purification of recombinant proteins. Refolding methods are currently published in many different formats and resources--REFOLD provides a standardized system for the structured reporting and presentation of these data. Furthermore, data in REFOLD are readily accessible using a simple search function, and the database also enables analyses which identify and highlight particular trends between suitable refolding and purification conditions and specific protein properties. This information may in turn serve to facilitate the rational design and development of new refolding protocols for novel proteins. There are approximately 200 proteins currently listed in REFOLD, and it is anticipated that with the continued contribution of data by researchers this number will grow significantly, thus strengthening the emerging trends and patterns and making this database a valuable tool for the scientific community.