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PMC:7278709 / 89425-90710 JSONTXT

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LitCovid_Glycan-Motif-Structure

Id Subject Object Predicate Lexical cue
T167 538-549 https://glytoucan.org/Structures/Glycans/G81533KY denotes sialic acid
T168 948-959 https://glytoucan.org/Structures/Glycans/G81533KY denotes sialic acid

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T4809 988-993 PG_18;PG_1 denotes spike
T31215 994-1006 PG_18;PG_1;CHEBI:17089;BV_11;CHEBI:17089 denotes glycoprotein

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T621 596-604 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T622 778-783 Body_part denotes sugar http://purl.org/sig/ont/fma/fma82737
T623 804-812 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T624 994-1006 Body_part denotes glycoprotein http://purl.org/sig/ont/fma/fma62925

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T788 266-268 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T789 392-394 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T790 1030-1033 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T791 1102-1103 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T75554 538-549 Chemical denotes sialic acid http://purl.obolibrary.org/obo/CHEBI_26667
T72627 545-549 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T22477 596-604 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T93970 663-670 Chemical denotes essence http://purl.obolibrary.org/obo/CHEBI_48318
T21648 804-812 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T1077 948-959 Chemical denotes sialic acid http://purl.obolibrary.org/obo/CHEBI_26667
T97916 955-959 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T34475 994-1006 Chemical denotes glycoprotein http://purl.obolibrary.org/obo/CHEBI_17089

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T514 0-403 Sentence denotes The current SABR-P predictive algorithm is naïve and it is not expected that it will resemble closely the final refined form of the algorithm, which will based on more rigorously on principles closer to those of the GOR method [20], the Hyperbolic Dirac Net [[21], [22], [23]], the association Q-UEL language [24], and the BionIngine implementation including its new algorithms [[25], [26], [27], [28]].
T515 404-659 Sentence denotes The impression of good performance for the current SABR-P method largely arises from the fact that it is only required to predict the sialic acid glycan binding properties of whole domains or proteins, not highly localized subsequences or surface patches.
T516 660-870 Sentence denotes In essence, the method is really doing little more than capture and quantify in an algorithm the visual inspection of sugar binding domains and proteins and the observations of other workers as discussed above.
T517 871-1084 Sentence denotes However, the method was only required to help explore potential non-covalent sialic acid glycan binding sites in the spike glycoprotein, and in that regard it has proven adequate and valuable for present purposes.
T518 1085-1253 Sentence denotes It also suggests a more refined approach may perform well because false positives and false negatives were mainly just over the boundary and just under it respectively.
T519 1254-1285 Sentence denotes Resolution should be increased.

2_test

Id Subject Object Predicate Lexical cue
32658736-8743705-23109497 228-230 8743705 denotes 20
32658736-26386548-23109498 380-382 26386548 denotes 25
32658736-29500985-23109499 392-394 29500985 denotes 27

LitCovid-PubTator

Id Subject Object Predicate Lexical cue
1661 12-18 Chemical denotes SABR-P
1662 323-333 Chemical denotes BionIngine
1663 455-461 Chemical denotes SABR-P
1664 538-556 Chemical denotes sialic acid glycan
1665 948-966 Chemical denotes sialic acid glycan