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PMC:7152911 / 70722-72704 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1448 579-583 Disease denotes CIPs
1449 627-631 Disease denotes CIPs
1462 979-986 Species denotes E. coli Tax:562
1463 1133-1159 Species denotes Staphylococcus epidermidis Tax:1282
1464 1161-1175 Species denotes S. epidermidis Tax:1282
1465 858-870 Chemical denotes organosilica
1466 910-944 Chemical denotes (3-mercaptopropyl)trimethoxysilane MESH:C102833
1467 946-950 Chemical denotes MPTS MESH:C102833
1468 1078-1109 Chemical denotes poly(3-aminophenylboronic acid)
1469 879-905 Disease denotes films of tetraethoxysilane
1470 1275-1279 Disease denotes CIPs
1471 1458-1462 Disease denotes CIPs
1472 1718-1722 Disease denotes CIPs
1473 1771-1775 Disease denotes CIPs

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T158 7-11 Body_part denotes Cell http://purl.org/sig/ont/fma/fma68646
T159 537-541 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T479 7-11 http://purl.obolibrary.org/obo/GO_0005623 denotes Cell
T480 430-433 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T481 441-445 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T482 537-541 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T483 620-624 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T484 694-702 http://purl.obolibrary.org/obo/NCBITaxon_2 denotes bacteria
T485 790-793 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T486 801-805 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T487 1222-1223 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T66902 39-47 Chemical denotes polymers http://purl.obolibrary.org/obo/CHEBI_33839
T37286 159-167 Chemical denotes aptamers http://purl.obolibrary.org/obo/CHEBI_140488
T54658 569-577 Chemical denotes polymers http://purl.obolibrary.org/obo/CHEBI_33839
T67116 1104-1108 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T50783 1849-1857 Chemical denotes aptamers http://purl.obolibrary.org/obo/CHEBI_140488

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T29 1526-1538 http://purl.obolibrary.org/obo/GO_0031099 denotes regeneration
T30 1566-1578 http://purl.obolibrary.org/obo/GO_0031099 denotes regeneration

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T578 0-47 Sentence denotes 2.2.6 Cell- and molecularly-imprinted polymers
T579 48-440 Sentence denotes Given traditional biorecognition elements used in biosensing exhibit stability concerns, such as antibodies or aptamers, as discussed in Sections 2.2.1–2.2.4, there have been efforts to create engineered molecular biorecognition elements, such as scFvs. In contrast, materials-based biorecognition elements exploit the principle of target-specific morphology for selective capture (Pan et al.
T580 441-458 Sentence denotes 2018; Zhou et al.
T581 459-465 Sentence denotes 2019).
T582 466-619 Sentence denotes The most common approach in materials-based biorecognition is based on cell- and molecularly-imprinted polymers (CIPs and MIPs, respectively) (Gui et al.
T583 620-626 Sentence denotes 2018).
T584 627-782 Sentence denotes CIPs and MIPs have been created using various processes, including bacteria-mediated lithography, micro-contact stamping, and colloid imprints (Chen et al.
T585 783-800 Sentence denotes 2016a; Pan et al.
T586 801-807 Sentence denotes 2018).
T587 808-1030 Sentence denotes As shown in Fig. 3b, Jafari et al. used imprinted organosilica sol-gel films of tetraethoxysilane and (3-mercaptopropyl)trimethoxysilane (MPTS) for selective detection of E. coli using an impedimetric method (Jafari et al.
T588 1031-1037 Sentence denotes 2019).
T589 1038-1191 Sentence denotes Similarly, Golabi et al. used imprinted poly(3-aminophenylboronic acid) films for detection of Staphylococcus epidermidis (S. epidermidis) (Golabi et al.
T590 1192-1198 Sentence denotes 2017).
T591 1199-1405 Sentence denotes Despite the absence of a highly selective molecular biorecognition element, CIPs and MIPs exhibit selectivity when exposed to samples that contain multiple analytes (i.e., non-target species) (Golabi et al.
T592 1406-1425 Sentence denotes 2017; Jafari et al.
T593 1426-1441 Sentence denotes 2019; Qi et al.
T594 1442-1448 Sentence denotes 2013).
T595 1449-1539 Sentence denotes MIPs and CIPs are also of interest with regard to opportunities in biosensor regeneration.
T596 1540-1723 Sentence denotes Common adverse effects of regeneration on biosensors that employ molecular biorecognition elements, such as irreversible changes in structure, are less likely to affect MIPs and CIPs.
T597 1724-1923 Sentence denotes However, it is generally accepted that current CIPs and MIPs exhibit lower selectivity to target species than antibodies and aptamers due to reduction of available chemical selectivity (Cheong et al.
T598 1924-1975 Sentence denotes 2013; Kryscio and Peppas, 2012; Yáñez-Sedeño et al.
T599 1976-1982 Sentence denotes 2017).

2_test

Id Subject Object Predicate Lexical cue
32364936-29876564-7713092 441-445 29876564 denotes 2018
32364936-28863325-7713093 620-624 28863325 denotes 2018
32364936-29876564-7713095 801-805 29876564 denotes 2018
32364936-27751788-7713096 1192-1196 27751788 denotes 2017
32364936-27751788-7713097 1406-1410 27751788 denotes 2017
32364936-22917919-7713098 1442-1446 22917919 denotes 2013
32364936-22100344-7713099 1950-1954 22100344 denotes 2012
32364936-28193351-7713100 1976-1980 28193351 denotes 2017