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PMC:7073332 / 44160-45821 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1129 548-561 Gene denotes drugs A and B
1130 347-351 Species denotes HCoV Tax:694448
1131 388-392 Species denotes HCoV Tax:694448

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T210 368-376 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T307 554-555 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T308 560-561 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T309 928-930 http://purl.obolibrary.org/obo/CLO_0001627 denotes AA
T310 966-968 http://purl.obolibrary.org/obo/CLO_0001869 denotes BB
T311 1427-1428 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T312 1494-1495 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T469 37-41 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T470 91-95 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T471 191-195 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T472 330-334 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T473 368-376 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T474 378-382 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T475 383-387 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T476 430-434 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T477 478-483 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T478 548-553 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T479 928-930 Chemical denotes AA http://purl.obolibrary.org/obo/CHEBI_15843|http://purl.obolibrary.org/obo/CHEBI_72816
T481 966-968 Chemical denotes BB http://purl.obolibrary.org/obo/CHEBI_53109
T482 1429-1433 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T483 1616-1621 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T266 0-54 Sentence denotes Network-based rational prediction of drug combinations
T267 55-407 Sentence denotes For this network-based approach for drug combinations to be effective, we need to establish if the topological relationship between two drug–target modules reflects biological and pharmacological relationships, while also quantifying their network-based relationship between drug targets and HCoV-associated host proteins (drug–drug–HCoV combinations).
T268 408-484 Sentence denotes To identify potential drug combinations, we combined the top lists of drugs.
T269 485-1398 Sentence denotes Then, “separation” measure SAB was calculated for each pair of drugs A and B using the following method:3 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$S_{AB} = \left\langle {d_{AB}} \right\rangle - \frac{{\left\langle {d_{AA}} \right\rangle + \left\langle {d_{BB}} \right\rangle }}{2},$$\end{document}SAB=dAB−dAA+dBB2,where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left\langle {d_ \cdot } \right\rangle$$\end{document}d⋅ was calculated based on the “closest” method.
T270 1399-1661 Sentence denotes Our key methodology is that a drug combination is therapeutically effective only if it follows a specific relationship to the disease module, as captured by Complementary Exposure patterns in targets’ modules of both drugs without overlapping toxic mechanisms28.

2_test

Id Subject Object Predicate Lexical cue
32194980-30867426-19614266 1658-1660 30867426 denotes 28