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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Computational prediction of human metabolic pathways from the complete human genome. | Research Open Access Computational prediction of human metabolic pathways from the complete human genome Pedro Romero Jonathan Wagg Michelle L Green Dale Kaiser Markus Krummenacker and Peter D Karp Addresses Bioinformatics Research Group SRI International 333 Ravenswood Ave Menlo Park CA 94025 USA. Department of Developmental Biology Stanford University Stanford CA 94305 USA. Current address School of Informatics Center for Computational Biology and Bioinformatics Indiana University - Purdue University Indianapolis 714 N Senate Ave Indianapolis IN 46202 USA. Correspondence Peter D Karp. E-mail pkarp@ai.sri.com Published 22 December 2004 Genome Biology 2004 6 R2 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2004 6 1 R2 Received 25 June 2004 Revised 11 October 2004 Accepted 2 December 2004 2004 Romero et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background We present a computational pathway analysis of the human genome that assigns enzymes encoded therein to predicted metabolic pathways. Pathway assignments place genes in their larger biological context and are a necessary first step toward quantitative modeling of metabolism. Results Our analysis assigns 2 709 human enzymes to 896 bioreactions 622 of the enzymes are assigned roles in 135 predicted metabolic pathways. The predicted pathways closely match the known nutritional requirements of humans. This analysis identifies probable omissions in the human genome annotation in the form of 203 pathway holes missing enzymes within the predicted pathways . We have identified putative genes to fill 25 of these holes. The predicted human metabolic map is described by a Pathway Genome Database called .
