Fig. 2

\(Fe\left(2\right)OG\), an integrated HMM-profile based web server of non-haem iron(II)- and 2OG-dependent dioxygenases. \(Fe\left(2\right)OG\), is a revised and updated web resource which completely integrates the functionality of two independent servers, \(H2OGpred\) and \(DB2OG\). A brief introduction with regards to active site geometry and reaction chemistry is provided. Clear directives on the usage, precautions and processing of data are provided. The predictor and search modules are distinct from each other and can be submitted independently of each other. The predictor module of \(Fe(2)OG\) is modified and will analyze a user-defined sequence(s) for the complete set of HMM-profiles. Users may use the “Examples” option to add sample sequences or “Paste” their own selection in the text area. These, when submitted will result in a chart of closely-matched HMM-profiles across the full length of the sequence. Since, the output is based on optimally chosen parameters (\(Evalue, Bit score)\), these need to be manually added and carefully chosen before submission. The database, too, is updated and has been extensively curated. Here, putative i2OGdd members are classified and arranged on the basis of their taxonomy and dominant cellular compartment. These are arranged in an easy-to-select matrix format. The sequences of this database can also be queried and recursively analyzed using the logical operators (AND, OR) for the presence of combinations of HMM-profiles. The results of these searches can be downloaded and investigated further. The list of sequences not analyzed is also presented along with links to several human putative i2OGdd members. Abbreviations: 2OG, 2-oxoglutarate; HMM, Hidden Markov Models; i2OGdd, non-haem iron(II)- and 2OG-dependent dioxygenases; \(H2OGpred\) HMM-based prediction of putative 2-oxoglutarate function; \(DB2OG\) database of sequences that results from a generic-2OG HMM-based query of UniprotKB