Prediction of novel synthetic pathways for the production of desired chemicals.
Prediction of novel synthetic pathways for the production of desired chemicals.
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DOI:
10.1186/1752-0509-4-35
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发表时间:
2010-03-28
影响因子:
--
通讯作者:
Park S
中科院分区:
文献类型:
--
作者:
Cho A;Yun H;Park JH;Lee SY;Park S
There have been several methods developed for the prediction of synthetic metabolic pathways leading to the production of desired chemicals. In these approaches, novel pathways were predicted based on chemical structure changes, enzymatic information, and/or reaction mechanisms, but the approaches generating a huge number of predicted results are difficult to be applied to real experiments. Also, some of these methods focus on specific pathways, and thus are limited to expansion to the whole metabolism. In the present study, we propose a system framework employing a retrosynthesis model with a prioritization scoring algorithm. This new strategy allows deducing the novel promising pathways for the synthesis of a desired chemical together with information on enzymes involved based on structural changes and reaction mechanisms present in the system database. The prioritization scoring algorithm employing Tanimoto coefficient and group contribution method allows examination of structurally qualified pathways to recognize which pathway is more appropriate. In addition, new concepts of binding site covalence, estimation of pathway distance and organism specificity were taken into account to identify the best synthetic pathway. Parameters of these factors can be evolutionarily optimized when a newly proven synthetic pathway is registered. As the proofs of concept, the novel synthetic pathways for the production of isobutanol, 3-hydroxypropionate, and butyryl-CoA were predicted. The prediction shows a high reliability, in which experimentally verified synthetic pathways were listed within the top 0.089% of the identified pathway candidates. It is expected that the system framework developed in this study would be useful for the in silico design of novel metabolic pathways to be employed for the efficient production of chemicals, fuels and materials.
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DOI:
10.1016/s0928-4869(00)00006-9
发表时间:
2000-04-15
期刊:
SIMULATION PRACTICE AND THEORY
影响因子:
--
作者:
Arita, M
通讯作者:
Arita, M
影响因子:
5.6
作者:
Aguilar, D;Aviles, FX;Sternberg, MJE
通讯作者:
Sternberg, MJE
影响因子:
5.6
作者:
Croes, D;Couche, F;van Helden, J
通讯作者:
van Helden, J
影响因子:
4.7
作者:
Li, CH;Henry, CS;Broadbelt, LJ
通讯作者:
Broadbelt, LJ
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