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A small subset of assertions appears to incorrectly assign subject and object. The largest of these is MONDO treats DRUGBANK (e.g., https://tmui.text-mining-kp.org/assertions/00649a33cb520c40446e9c6ffb969722627aa031065d57d4eab8dfa8265d8d3f )
The other potentially reversed assertions are: MONDO-treats-DRUGBANK: 194 UniProtKB-entity_negatively_regulates_entity-DRUGBANK: 109 UniProtKB-entity_positively_regulates_entity-DRUGBANK: 45 HP-treats-DRUGBANK: 54 HP-contributes_to-DRUGBANK: 4 HP-contributes_to-UniProtKB: 7 MONDO-contributes_to-UniProtKB: 16 MONDO-contributes_to-DRUGBANK: 9
The text was updated successfully, but these errors were encountered:
A small subset of assertions appears to incorrectly assign subject and object. The largest of these is MONDO treats DRUGBANK (e.g., https://tmui.text-mining-kp.org/assertions/00649a33cb520c40446e9c6ffb969722627aa031065d57d4eab8dfa8265d8d3f )
The other potentially reversed assertions are:
MONDO-treats-DRUGBANK: 194 UniProtKB-entity_negatively_regulates_entity-DRUGBANK: 109 UniProtKB-entity_positively_regulates_entity-DRUGBANK: 45 HP-treats-DRUGBANK: 54 HP-contributes_to-DRUGBANK: 4 HP-contributes_to-UniProtKB: 7 MONDO-contributes_to-UniProtKB: 16 MONDO-contributes_to-DRUGBANK: 9
The text was updated successfully, but these errors were encountered: