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GoldHamster

Id Subject Object Predicate Lexical cue
T1 69-72 PR:P70372 denotes Hua
T2 69-72 PR:000007016 denotes Hua
T3 87-91 CVCL_V640 denotes Tong
T4 95-99 CVCL_D965 denotes Fang
T5 95-99 UBERON:0003674 denotes Fang
T6 95-99 UBERON:0013078 denotes Fang
T7 149-157 CHEBI:23888 denotes medicine
T8 285-304 D045506 denotes therapeutic effects
T9 285-304 D045506 denotes therapeutic effects
T10 421-424 PR:P70372 denotes Hua
T11 421-424 PR:000007016 denotes Hua
T12 439-443 CVCL_V640 denotes Tong
T13 447-451 CVCL_D965 denotes Fang
T14 447-451 UBERON:0003674 denotes Fang
T15 447-451 UBERON:0013078 denotes Fang
T16 488-496 CHEBI:23888 denotes medicine
T17 525-545 D001172 denotes rheumatoid arthritis
T18 525-545 D001172 denotes rheumatoid arthritis
T21 661-670 SO:0000732 denotes predicted
T22 801-815 D064209 denotes phytochemicals
T23 801-815 D064209 denotes phytochemicals
T24 1319-1322 CVCL_AV82 denotes AUC

PubMed_ArguminSci

Id Subject Object Predicate Lexical cue
T1 101-166 DRI_Background denotes Herbal formulae have a long history in clinical medicine in Asia.
T2 167-403 DRI_Challenge denotes While the complexity of the formulae leads to the complex compound-target interactions and the resultant multi-target therapeutic effects, it is difficult to elucidate the molecular/therapeutic mechanism of action for the many formulae.
T3 404-546 DRI_Background denotes For example, the Hua-Yu-Qiang-Shen-Tong-Bi-Fang (TBF), an herbal formula of Chinese medicine, has been used for treating rheumatoid arthritis.
T4 547-642 DRI_Approach denotes However, the target information of a great number of compounds from the TBF formula is missing.
T5 643-766 DRI_Approach denotes In this study, we predicted the targets of the compounds from the TBF formula via network analysis and in silico computing.
T6 767-989 DRI_Outcome denotes Initially, the information of the phytochemicals contained in the plants of the herbal formula was collected, and subsequently computed to their corresponding fingerprints for the sake of structural similarity calculation.
T7 990-1094 DRI_Background denotes Then a compound structural similarity network infused with available target information was constructed.
T8 1095-1227 DRI_Background denotes Five local similarity indices were used and compared for their performance on predicting the potential new targets of the compounds.
T9 1228-1425 DRI_Outcome denotes Finally, the Preferential Attachment Index was selected for it having an area under curve (AUC) of 0.886, which outperforms the other four algorithms in predicting the compound-target interactions.
T10 1426-1552 DRI_Background denotes This method could provide a promising direction for identifying the compound-target interactions of herbal formulae in silico.

Goldhamster2_Cellosaurus

Id Subject Object Predicate Lexical cue
T1 87-91 CVCL_V640|Cancer_cell_line|Homo sapiens denotes Tong
T2 92-94 CVCL_LI17|Cancer_cell_line|Homo sapiens denotes Bi
T3 95-99 CVCL_D965|Induced_pluripotent_stem_cell|Homo sapiens denotes Fang
T4 122-123 CVCL_6479|Finite_cell_line|Mus musculus denotes a
T5 439-443 CVCL_V640|Cancer_cell_line|Homo sapiens denotes Tong
T6 444-446 CVCL_LI17|Cancer_cell_line|Homo sapiens denotes Bi
T7 447-451 CVCL_D965|Induced_pluripotent_stem_cell|Homo sapiens denotes Fang
T8 459-461 CVCL_8754|Cancer_cell_line|Homo sapiens denotes an
T9 459-461 CVCL_H241|Cancer_cell_line|Homo sapiens denotes an
T10 498-501 CVCL_6758|Undefined_cell_line_type|Cricetulus griseus denotes has
T11 498-501 CVCL_E689|Transformed_cell_line|Homo sapiens denotes has
T12 582-583 CVCL_6479|Finite_cell_line|Mus musculus denotes a
T13 658-660 CVCL_5M23|Cancer_cell_line|Mesocricetus auratus denotes we
T14 995-996 CVCL_6479|Finite_cell_line|Mus musculus denotes a
T15 1298-1300 CVCL_8754|Cancer_cell_line|Homo sapiens denotes an
T16 1298-1300 CVCL_H241|Cancer_cell_line|Homo sapiens denotes an
T17 1319-1322 CVCL_AV82|Finite_cell_line|Homo sapiens denotes AUC
T18 1452-1453 CVCL_6479|Finite_cell_line|Mus musculus denotes a