The University of Minnesota pathway prediction system: predicting metabolic logic.
The University of Minnesota pathway prediction system: predicting metabolic logic.
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DOI:
10.1093/nar/gkn315
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发表时间:
2008-07-01
影响因子:
14.9
通讯作者:
Wackett LP
中科院分区:
文献类型:
--
作者:
Ellis LB;Gao J;Fenner K;Wackett LP
The University of Minnesota pathway prediction system (UM-PPS, http://umbbd.msi.umn.edu/predict/) recognizes functional groups in organic compounds that are potential targets of microbial catabolic reactions, and predicts transformations of these groups based on biotransformation rules. Rules are based on the University of Minnesota biocatalysis/biodegradation database (http://umbbd.msi.umn.edu/) and the scientific literature. As rules were added to the UM-PPS, more of them were triggered at each prediction step. The resulting combinatorial explosion is being addressed in four ways. Biodegradation experts give each rule an aerobic likelihood value of Very Likely, Likely, Neutral, Unlikely or Very Unlikely. Users now can choose whether they view all, or only the more aerobically likely, predicted transformations. Relative reasoning, allowing triggering of some rules to inhibit triggering of others, was implemented. Rules were initially assigned to individual chemical reactions. In selected cases, these have been replaced by super rules, which include two or more contiguous reactions that form a small pathway of their own. Rules are continually modified to improve the prediction accuracy; increasing rule stringency can improve predictions and reduce extraneous choices. The UM-PPS is freely available to all without registration. Its value to the scientific community, for academic, industrial and government use, is good and will only increase.
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影响因子:
14.9
作者:
Ellis LB;Roe D;Wackett LP
通讯作者:
Wackett LP
影响因子:
3
作者:
Dimitrov, S;Kamenska, V;Mekenyan, O
通讯作者:
Mekenyan, O
影响因子:
8.8
作者:
Gerecke, Andreas C.;Giger, Walter;Kohler, Martin
通讯作者:
Kohler, Martin
DOI:
10.1021/ci0202739
发表时间:
2003-09-01
期刊:
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子:
--
作者:
Button, WG;Judson, PN;Vessey, JD
通讯作者:
Vessey, JD
DOI:
10.1021/ci034018f
发表时间:
2003-05-01
期刊:
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子:
--
作者:
Hou, BK;Wackett, LP;Ellis, LBM
通讯作者:
Ellis, LBM