Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions.

@article{citeulike:363611, abstract = {The EC (Enzyme Commission) numbers represent a hierarchical classification of enzymatic reactions, but they are also commonly utilized as identifiers of enzymes or enzyme genes in the analysis of complete genomes. This duality of the EC numbers makes it possible to link the genomic repertoire of enzyme genes to the chemical repertoire of metabolic pathways, the process called metabolic reconstruction. Unfortunately, there are numerous reactions known to be present in various pathways, but they will never get EC numbers because the EC number assignment requires published articles on full characterization of enzymes. Here we report a computerized method to automatically assign the EC numbers up to the sub-subclasses, i.e., without the fourth serial number for substrate specificity, given pairs of substrates and products. The method is based on a new classification scheme of enzymatic reactions, named the RC (reaction classification) number. Each reaction in the current dataset of the EC numbers is first decomposed into reactant pairs. Each pair is then structurally aligned to identify the reaction center, the matched region, and the difference region. The RC number represents the conversion patterns of atom types in these three regions. We examined the correspondence between computationally assigned RC numbers and manually assigned EC numbers by the jackknife cross-validation test and found that the EC sub-subclasses could be assigned with the accuracy of about 90\%. Furthermore, we examined the correlation with genomic information as represented by the KEGG ortholog clusters (OC) and confirmed that the RC numbers are correlated not only with elementary reaction mechanisms but also with protein families.}, address = {Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.}, author = {Kotera, M. and Okuno, Y. and Hattori, M. and Goto, S. and Kanehisa, M. }, citeulike-article-id = {363611}, doi = {http://dx.doi.org/10.1021/ja0466457}, issn = {0002-7863}, journal = {J Am Chem Soc}, keywords = {kegg}, month = {December}, number = {50}, pages = {16487--16498}, posted-at = {2007-02-09 11:48:41}, priority = {2}, title = {Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions.}, url = {http://dx.doi.org/10.1021/ja0466457}, volume = {126}, year = {2004} }

TY - JOUR ID - citeulike:363611 L3 - citeulike-article-id:363611 TI - Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions. JF - J Am Chem Soc VL - 126 IS - 50 SP - 16487 EP - 16498 AD - Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan. SN - 0002-7863 N2 - The EC (Enzyme Commission) numbers represent a hierarchical classification of enzymatic reactions, but they are also commonly utilized as identifiers of enzymes or enzyme genes in the analysis of complete genomes. This duality of the EC numbers makes it possible to link the genomic repertoire of enzyme genes to the chemical repertoire of metabolic pathways, the process called metabolic reconstruction. Unfortunately, there are numerous reactions known to be present in various pathways, but they will never get EC numbers because the EC number assignment requires published articles on full characterization of enzymes. Here we report a computerized method to automatically assign the EC numbers up to the sub-subclasses, i.e., without the fourth serial number for substrate specificity, given pairs of substrates and products. The method is based on a new classification scheme of enzymatic reactions, named the RC (reaction classification) number. Each reaction in the current dataset of the EC numbers is first decomposed into reactant pairs. Each pair is then structurally aligned to identify the reaction center, the matched region, and the difference region. The RC number represents the conversion patterns of atom types in these three regions. We examined the correspondence between computationally assigned RC numbers and manually assigned EC numbers by the jackknife cross-validation test and found that the EC sub-subclasses could be assigned with the accuracy of about 90%. Furthermore, we examined the correlation with genomic information as represented by the KEGG ortholog clusters (OC) and confirmed that the RC numbers are correlated not only with elementary reaction mechanisms but also with protein families. KW - kegg AU - Kotera, M AU - Okuno, Y AU - Hattori, M AU - Goto, S AU - Kanehisa, M PY - 2004/12/22/ UR - http://dx.doi.org/10.1021/ja0466457 ER -