| Id |
Subject |
Object |
Predicate |
Lexical cue |
| TextSentencer_T1 |
0-189 |
Sentence |
denotes |
Potential drug targets on insomnia and intervention effects of Jujuboside A through metabolic pathway analysis as revealed by UPLC/ESI-SYNAPT-HDMS coupled with pattern recognition approach. |
| T1 |
0-189 |
Sentence |
denotes |
Potential drug targets on insomnia and intervention effects of Jujuboside A through metabolic pathway analysis as revealed by UPLC/ESI-SYNAPT-HDMS coupled with pattern recognition approach. |
| TextSentencer_T2 |
190-322 |
Sentence |
denotes |
Potential metabolites from the metabolic pathways could be therapeutic targets and useful for the discovery of broad spectrum drugs. |
| T2 |
190-322 |
Sentence |
denotes |
Potential metabolites from the metabolic pathways could be therapeutic targets and useful for the discovery of broad spectrum drugs. |
| TextSentencer_T3 |
323-545 |
Sentence |
denotes |
UPLC/ESI-SYNAPT-HDMS coupled with pattern recognition methods including PCA, PLS-DA, OPLS-DA and Heatmap were integrated to examine the global metabolic signature of insomnia and intervention effects of Jujuboside A (JuA). |
| T3 |
323-545 |
Sentence |
denotes |
UPLC/ESI-SYNAPT-HDMS coupled with pattern recognition methods including PCA, PLS-DA, OPLS-DA and Heatmap were integrated to examine the global metabolic signature of insomnia and intervention effects of Jujuboside A (JuA). |
| TextSentencer_T4 |
546-646 |
Sentence |
denotes |
Six unique pathways of the insomnia were identified using Ingenuity Pathway Analysis (IPA) software. |
| T4 |
546-646 |
Sentence |
denotes |
Six unique pathways of the insomnia were identified using Ingenuity Pathway Analysis (IPA) software. |
| TextSentencer_T5 |
647-783 |
Sentence |
denotes |
The VIP-value threshold cutoff of the metabolites was set to 10, above this threshold, were filtered out as potential target biomarkers. |
| T5 |
647-783 |
Sentence |
denotes |
The VIP-value threshold cutoff of the metabolites was set to 10, above this threshold, were filtered out as potential target biomarkers. |
| TextSentencer_T6 |
784-907 |
Sentence |
denotes |
Sixteen distinct metabolites were identified from these pathways, and 6 of them can be considered for rational drug design. |
| T6 |
784-907 |
Sentence |
denotes |
Sixteen distinct metabolites were identified from these pathways, and 6 of them can be considered for rational drug design. |
| TextSentencer_T7 |
908-1090 |
Sentence |
denotes |
It was further experimental validation that the changes in metabolic profiling were restored to their baseline values after JuA treatment according to the multivariate data analysis. |
| T7 |
908-1090 |
Sentence |
denotes |
It was further experimental validation that the changes in metabolic profiling were restored to their baseline values after JuA treatment according to the multivariate data analysis. |
| TextSentencer_T8 |
1091-1277 |
Sentence |
denotes |
Potential metabolite network of the insomnia was preliminarily predicted JuA-target interaction networks, and could be further explored for in silico docking studies with suitable drugs. |
| T8 |
1091-1277 |
Sentence |
denotes |
Potential metabolite network of the insomnia was preliminarily predicted JuA-target interaction networks, and could be further explored for in silico docking studies with suitable drugs. |
| TextSentencer_T9 |
1278-1379 |
Sentence |
denotes |
Thus, our method is an efficient procedure for drug target identification through metabolic analysis. |
| T9 |
1278-1379 |
Sentence |
denotes |
Thus, our method is an efficient procedure for drug target identification through metabolic analysis. |
| TextSentencer_T10 |
1380-1542 |
Sentence |
denotes |
It can guide testable predictions, provide insights into drug action mechanisms and enable us to increase research productivity toward metabolomic drug discovery. |
| T10 |
1380-1542 |
Sentence |
denotes |
It can guide testable predictions, provide insights into drug action mechanisms and enable us to increase research productivity toward metabolomic drug discovery. |