Biological inverse synthesis method and system combined with AND-OR tree and single-step reaction rule prediction
A technology of biosynthesis and synthetic methods, applied in chemical property prediction, chemical statistics, chemical machine learning, etc., can solve the problems of low actual availability and low efficiency, and achieve the effect of improving actual availability and efficiency
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Embodiment 1
[0042] The embodiment of the present invention provides a bioretrosynthesis method combining ANDOR tree and single-step reaction rule prediction, including:
[0043] S1: Select an OR node from the pre-constructed AND-OR tree, and the molecule corresponding to the OR node is used as the product molecule to be predicted. The pre-constructed AND-OR tree contains two types of nodes, namely AND node and OR node , with nodes representing reaction rules, or nodes representing molecules;
[0044] S2: Use the pre-built single-step reaction rule prediction model to predict the k rules that are most likely to synthesize product molecules in the preset rule set to form the rule set Top-k, and assign a value between (0, 1) to each rule The weight value of , wherein, the preset rule set is obtained based on the metabolic reaction construction in the known metabolic reaction data set;
[0045] S3: Expand the constructed AND or tree, including: adding each rule in Top-k as a new AND node to ...
Embodiment 2
[0130] Based on the same inventive concept, this embodiment provides a bioretrosynthesis system that combines ANDOR tree and single-step reaction rule prediction, including:
[0131] The retrosynthetic planning module is used to select an or node from the pre-constructed and-or tree, and the molecule corresponding to the or node is used as the product molecule to be predicted, wherein the pre-constructed and-or tree contains two types of nodes, respectively And nodes and or nodes, and nodes represent reaction rules, or nodes represent molecules;
[0132] The reaction rule prediction module is used to use the pre-built single-step reaction rule prediction model to predict the k rules that are most likely to synthesize product molecules in the preset rule set to form the rule set Top-k, and assign a (0 , 1) a weight value between, wherein, the preset rule set is obtained based on the metabolic reaction construction in the known metabolic reaction data set;
[0133] The AND-OR t...
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