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PMC:7247521 / 6981-13867 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
120 98-101 Disease denotes XCH
121 225-227 Disease denotes OB MESH:D009765
122 273-277 Disease denotes CIDs
123 531-535 Disease denotes CIDs
126 939-942 Disease denotes XCH
127 1115-1131 Disease denotes OMIM/TTD disease MESH:D003141
132 2065-2104 Gene denotes Kyoto Encyclopedia of Genes and Genomes
133 1875-1887 Species denotes Homo sapiens Tax:9606
134 1694-1697 Disease denotes XCH
135 2218-2221 Disease denotes XCH
139 2443-2446 Disease denotes XCH
140 2670-2673 Disease denotes XCH
141 2764-2767 Disease denotes XCH
153 3421-3425 Gene denotes OCT2 Gene:6582
154 3490-3494 Gene denotes hERG Gene:2078
155 3508-3512 Gene denotes hERG Gene:2078
156 3532-3535 Species denotes rat Tax:10116
157 3441-3449 Disease denotes toxicity MESH:D064420
158 3456-3464 Disease denotes toxicity MESH:D064420
159 3542-3550 Disease denotes toxicity MESH:D064420
160 3559-3573 Disease denotes hepatotoxicity MESH:D056486
161 3575-3593 Disease denotes skin sensitisation MESH:D012871
162 3606-3614 Disease denotes toxicity MESH:D064420
163 3230-3236 CellLine denotes Caco-2 CVCL:0025
176 3948-3952 Gene denotes Mpro Gene:8673700
177 3968-3972 Gene denotes RdRp Gene:43740578
178 3991-3995 Gene denotes RdRp Gene:43740578
179 4017-4025 Gene denotes Helicase Gene:164045
180 4044-4052 Gene denotes Helicase Gene:164045
181 3954-3959 Gene denotes PLpro Gene:43740578
182 3729-3733 Species denotes ncov Tax:2697049
183 3922-3931 Species denotes 2019-nCov Tax:2697049
184 3678-3686 Disease denotes COVID-19 MESH:C000657245
185 3696-3704 Disease denotes COVID-19 MESH:C000657245
186 3807-3815 Disease denotes COVID-19 MESH:C000657245
187 4503-4511 Disease denotes COVID-19 MESH:C000657245
190 4535-4539 Gene denotes ACE2 Gene:59272
191 4544-4549 Gene denotes CD147 Gene:682
198 4649-4653 Gene denotes ACE2 Gene:59272
199 4658-4663 Gene denotes CD147 Gene:682
200 4791-4795 Gene denotes ACE2 Gene:59272
201 4800-4805 Gene denotes CD147 Gene:682
202 5023-5027 Gene denotes ACE2 Gene:59272
203 4915-4924 Disease denotes pneumonia MESH:D011014
206 5312-5320 Disease denotes COVID-19 MESH:C000657245
207 5329-5350 Disease denotes robustness of disease MESH:D003141
216 5381-5389 Disease denotes COVID-19 MESH:C000657245
217 5928-5936 Disease denotes COVID-19 MESH:C000657245
218 6000-6008 Disease denotes COVID-19 MESH:C000657245
219 6052-6056 Disease denotes SARS MESH:D045169
220 6191-6199 Disease denotes COVID-19 MESH:C000657245
221 6367-6370 Disease denotes XCH
222 6543-6551 Disease denotes COVID-19 MESH:C000657245
223 6747-6767 Disease denotes Banxia tianma baizhu

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T84 169-173 CHEBI:23888;CHEBI:23888 denotes drug
T85 285-294 CHEBI:36357;CHEBI:36357 denotes compounds
T86 479-484 SO:0001867 denotes genes
T87 1053-1057 SO:0000704 denotes Gene
T88 1167-1175 SO:0000646 denotes microRNA
T89 1574-1581 SO:0000417 denotes modules
T90 1614-1629 CHEBI:52217;CHEBI:52217 denotes pharmacological
T91 1855-1862 NCBITaxon:species denotes species
T92 1875-1887 SP_6;NCBITaxon:9606 denotes Homo sapiens
T93 1956-1963 SO:0000417 denotes modules
T94 2087-2092 SO:0000704 denotes Genes
T95 2097-2104 SO:0001026 denotes Genomes
T96 2195-2202 SO:0000417 denotes modules
T97 2644-2653 CHEBI:36357;CHEBI:36357 denotes compounds
T98 2739-2748 CHEBI:36357;CHEBI:36357 denotes compounds
T99 2876-2885 CHEBI:36357;CHEBI:36357 denotes compounds
T100 3128-3143 CHEBI:52217;CHEBI:52217 denotes pharmacokinetic
T101 3230-3236 CL_1 denotes Caco-2
T102 3322-3341 UBERON:0000120 denotes blood-brain barrier
T103 3346-3368 UBERON:0001017 denotes central nervous system
T104 3384-3393 GO:0007588 denotes excretion
T105 3415-3420 UBERON:0002113 denotes renal
T106 3421-3425 PR:000013036 denotes OCT2
T107 3451-3455 CHEBI:34018;CHEBI:34018 denotes AMES
T108 3490-3494 PR:P11308 denotes hERG
T109 3497-3506 CHEBI:35222;CHEBI:35222 denotes inhibitor
T110 3508-3512 PR:P11308 denotes hERG
T111 3516-3525 CHEBI:35222;CHEBI:35222 denotes inhibitor
T112 3527-3531 UBERON:0000165 denotes oral
T113 3532-3535 NCBITaxon:10114 denotes rat
T114 3655-3659 CHEBI:23888;CHEBI:23888 denotes drug
T115 3678-3686 SP_7 denotes COVID-19
T116 3696-3704 SP_7 denotes COVID-19
T117 3807-3815 SP_7 denotes COVID-19
T118 3922-3931 SP_7 denotes 2019-nCov
T119 3961-3966 PR:000000125 denotes nsp12
T120 3984-3989 PR:000000125 denotes nsp12
T121 4010-4015 PR:000000125 denotes nsp13
T122 4026-4034 SO:0000346 denotes ADP site
T123 4037-4042 PR:000000125 denotes nsp13
T124 4064-4069 PR:000000125 denotes nsp14
T125 4078-4083 PR:000000125 denotes nsp14
T126 4096-4101 PR:000000125 denotes nsp15
T127 4122-4127 PR:000000125 denotes nsp16
T128 4142-4151 PG_4 denotes N protein
T129 4165-4174 PG_2 denotes E protein
T130 4176-4179 CHEBI:24870;CHEBI:24870 denotes ion
T131 4306-4310 SO:0000346 denotes site
T132 4485-4494 CHEBI:36357;CHEBI:36357 denotes compounds
T133 4503-4511 SP_7 denotes COVID-19
T134 4535-4539 G_3;PG_10;PR:000003622 denotes ACE2
T135 4544-4549 PR:000001324 denotes CD147
T136 4550-4560 GO:0010467 denotes expression
T137 4568-4575 UBERON:0000479 denotes tissues
T138 4583-4593 GO:0010467 denotes expression
T139 4594-4599 SO:0000704 denotes genes
T140 4618-4628 GO:0010467 denotes expression
T141 4649-4653 G_3;PG_10;PR:000003622 denotes ACE2
T142 4658-4663 PR:000001324 denotes CD147
T143 4671-4678 UBERON:0000479 denotes tissues
T144 4706-4713 UBERON:0000479 denotes tissues
T145 4771-4781 GO:0010467 denotes expression
T146 4782-4787 SO:0000704 denotes genes
T147 4791-4795 G_3;PG_10;PR:000003622 denotes ACE2
T148 4800-4805 PR:000001324 denotes CD147
T149 4936-4941 SO:0000704 denotes genes
T150 5003-5013 GO:0010467 denotes expression
T151 5014-5019 SO:0000704 denotes genes
T152 5023-5027 G_3;PG_10;PR:000003622 denotes ACE2
T153 5031-5038 UBERON:0001155;CL:0011108 denotes colonic
T154 5039-5049 CL:0011108;UBERON:0000483 denotes epithelial
T155 5050-5055 CL:0011108 denotes cells
T156 5081-5085 GO:0018995 denotes host
T157 5278-5282 CHEBI:23888;CHEBI:23888 denotes drug
T158 5312-5320 SP_7 denotes COVID-19
T159 5381-5389 SP_7 denotes COVID-19
T160 5563-5568 CHEBI:23888;CHEBI:23888 denotes drugs
T161 5640-5645 CHEBI:23888;CHEBI:23888 denotes drugs
T162 5730-5735 CHEBI:23888;CHEBI:23888 denotes drugs
T163 5828-5832 CHEBI:23888;CHEBI:23888 denotes drug
T164 5900-5905 CHEBI:23888;CHEBI:23888 denotes drugs
T165 5928-5936 SP_7 denotes COVID-19
T166 6000-6008 SP_7 denotes COVID-19
T167 6033-6042 GO:0010467 denotes expressed
T168 6043-6048 SO:0000704 denotes genes
T169 6052-6056 SP_10 denotes SARS
T170 6191-6199 SP_7 denotes COVID-19
T171 6464-6468 CHEBI:23888;CHEBI:23888 denotes drug
T172 6543-6551 SP_7 denotes COVID-19
T173 6692-6697 CHEBI:23888;CHEBI:23888 denotes drugs

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T9 1053-1057 Body_part denotes Gene http://purl.org/sig/ont/fma/fma74402
T10 1376-1379 Body_part denotes map http://purl.org/sig/ont/fma/fma67847
T11 1774-1782 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T12 2097-2104 Body_part denotes Genomes http://purl.org/sig/ont/fma/fma84116
T13 3237-3241 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T14 3264-3268 Body_part denotes skin http://purl.org/sig/ont/fma/fma7163
T15 3322-3327 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T16 3328-3333 Body_part denotes brain http://purl.org/sig/ont/fma/fma50801
T17 3346-3368 Body_part denotes central nervous system http://purl.org/sig/ont/fma/fma55675
T18 3575-3579 Body_part denotes skin http://purl.org/sig/ont/fma/fma7163
T19 3910-3918 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T20 3978-3981 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T21 4004-4007 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T22 4071-4075 Body_part denotes ExoN http://purl.org/sig/ont/fma/fma84120
T23 4144-4151 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T24 4167-4174 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T25 4213-4220 Body_part denotes Protein http://purl.org/sig/ont/fma/fma67257
T26 4270-4273 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T27 4290-4293 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T28 4336-4340 Body_part denotes ExoN http://purl.org/sig/ont/fma/fma84120
T29 4519-4527 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T30 4568-4575 Body_part denotes tissues http://purl.org/sig/ont/fma/fma9637
T31 4671-4678 Body_part denotes tissues http://purl.org/sig/ont/fma/fma9637
T32 4706-4713 Body_part denotes tissues http://purl.org/sig/ont/fma/fma9637
T33 5039-5055 Body_part denotes epithelial cells http://purl.org/sig/ont/fma/fma66768
T34 5050-5055 Body_part denotes cells http://purl.org/sig/ont/fma/fma68646
T35 5086-5094 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T36 5231-5239 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T37 5987-5996 Body_part denotes cytokines http://purl.org/sig/ont/fma/fma84050

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T7 3264-3268 Body_part denotes skin http://purl.obolibrary.org/obo/UBERON_0000014
T8 3322-3341 Body_part denotes blood-brain barrier http://purl.obolibrary.org/obo/UBERON_0000120
T9 3322-3327 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T10 3328-3333 Body_part denotes brain http://purl.obolibrary.org/obo/UBERON_0000955
T11 3346-3368 Body_part denotes central nervous system http://purl.obolibrary.org/obo/UBERON_0001017
T12 3354-3368 Body_part denotes nervous system http://purl.obolibrary.org/obo/UBERON_0001016
T13 3575-3579 Body_part denotes skin http://purl.obolibrary.org/obo/UBERON_0000014

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T34 3678-3686 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T35 3696-3704 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T36 3807-3815 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T37 4503-4511 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 4915-4924 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T39 5312-5320 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T40 5381-5389 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 5928-5936 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T42 6000-6008 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 6052-6056 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T44 6191-6199 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 6543-6551 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T53 230-238 http://purl.obolibrary.org/obo/CLO_0001279 denotes 30 % [15
T54 479-484 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T55 492-498 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T56 716-719 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes pan
T57 1053-1057 http://purl.obolibrary.org/obo/OGG_0000000002 denotes Gene
T58 1342-1344 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T59 1365-1370 http://purl.obolibrary.org/obo/CLO_0050421 denotes chord
T60 1488-1495 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T61 1875-1887 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes Homo sapiens
T62 1917-1918 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 2087-2092 http://purl.obolibrary.org/obo/OGG_0000000002 denotes Genes
T64 2106-2115 http://purl.obolibrary.org/obo/SO_0000418 denotes signaling
T65 2330-2336 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T66 2869-2875 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T67 2962-2968 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T68 3193-3195 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T69 3230-3241 http://purl.obolibrary.org/obo/CLO_0002172 denotes Caco-2 cell
T70 3264-3268 http://purl.obolibrary.org/obo/UBERON_0000014 denotes skin
T71 3264-3268 http://purl.obolibrary.org/obo/UBERON_0001003 denotes skin
T72 3264-3268 http://purl.obolibrary.org/obo/UBERON_0002097 denotes skin
T73 3264-3268 http://purl.obolibrary.org/obo/UBERON_0002199 denotes skin
T74 3264-3268 http://www.ebi.ac.uk/efo/EFO_0000962 denotes skin
T75 3322-3327 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T76 3322-3327 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T77 3328-3333 http://purl.obolibrary.org/obo/UBERON_0000955 denotes brain
T78 3328-3333 http://www.ebi.ac.uk/efo/EFO_0000302 denotes brain
T79 3346-3368 http://purl.obolibrary.org/obo/UBERON_0001017 denotes central nervous system
T80 3346-3368 http://www.ebi.ac.uk/efo/EFO_0000302 denotes central nervous system
T81 3346-3368 http://www.ebi.ac.uk/efo/EFO_0000908 denotes central nervous system
T82 3575-3579 http://purl.obolibrary.org/obo/UBERON_0000014 denotes skin
T83 3575-3579 http://purl.obolibrary.org/obo/UBERON_0001003 denotes skin
T84 3575-3579 http://purl.obolibrary.org/obo/UBERON_0002097 denotes skin
T85 3575-3579 http://purl.obolibrary.org/obo/UBERON_0002199 denotes skin
T86 3575-3579 http://www.ebi.ac.uk/efo/EFO_0000962 denotes skin
T87 4594-4599 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T88 4680-4681 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T89 4782-4787 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T90 4936-4941 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T91 5014-5019 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T92 5031-5038 http://purl.obolibrary.org/obo/UBERON_0001155 denotes colonic
T93 5039-5049 http://purl.obolibrary.org/obo/CL_0000066 denotes epithelial
T94 5050-5055 http://purl.obolibrary.org/obo/GO_0005623 denotes cells
T95 6010-6012 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T96 6043-6048 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T25 169-173 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T26 184-186 Chemical denotes DL http://purl.obolibrary.org/obo/CHEBI_68596
T27 358-361 Chemical denotes TCM http://purl.obolibrary.org/obo/CHEBI_145500
T28 1120-1123 Chemical denotes TTD http://purl.obolibrary.org/obo/CHEBI_73659
T29 1204-1206 Chemical denotes TF http://purl.obolibrary.org/obo/CHEBI_74862
T30 1552-1555 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T32 1647-1650 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T34 1722-1725 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T36 1774-1782 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T37 1832-1835 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T39 1967-1970 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T41 2246-2249 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T43 2356-2359 Chemical denotes TCM http://purl.obolibrary.org/obo/CHEBI_145500
T44 3023-3025 Chemical denotes MW http://purl.obolibrary.org/obo/CHEBI_74709
T45 3497-3506 Chemical denotes inhibitor http://purl.obolibrary.org/obo/CHEBI_35222
T46 3513-3515 Chemical denotes II http://purl.obolibrary.org/obo/CHEBI_74067
T47 3516-3525 Chemical denotes inhibitor http://purl.obolibrary.org/obo/CHEBI_35222
T48 3655-3659 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T49 3910-3918 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T50 4026-4029 Chemical denotes ADP http://purl.obolibrary.org/obo/CHEBI_16761|http://purl.obolibrary.org/obo/CHEBI_456216|http://purl.obolibrary.org/obo/CHEBI_73342
T53 4144-4151 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T54 4167-4174 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T55 4176-4179 Chemical denotes ion http://purl.obolibrary.org/obo/CHEBI_24870
T56 4213-4220 Chemical denotes Protein http://purl.obolibrary.org/obo/CHEBI_16541
T57 4302-4305 Chemical denotes ADP http://purl.obolibrary.org/obo/CHEBI_16761|http://purl.obolibrary.org/obo/CHEBI_456216|http://purl.obolibrary.org/obo/CHEBI_73342
T60 4519-4527 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T61 5086-5094 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T62 5231-5239 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T63 5278-5282 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T64 5563-5568 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T65 5640-5645 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T66 5730-5735 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T67 5828-5832 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T68 5900-5905 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T69 6464-6468 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T70 6692-6697 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T10 4915-4924 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T24 1180-1202 http://purl.obolibrary.org/obo/GO_0000981 denotes transcriptional factor
T25 1204-1206 http://purl.obolibrary.org/obo/GO_0000981 denotes TF
T26 2106-2123 http://purl.obolibrary.org/obo/GO_0007165 denotes signaling pathway
T27 2106-2115 http://purl.obolibrary.org/obo/GO_0023052 denotes signaling
T28 3384-3393 http://purl.obolibrary.org/obo/GO_0007588 denotes excretion
T29 4176-4187 http://purl.obolibrary.org/obo/GO_0022831 denotes ion channel

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T43 0-24 Sentence denotes 2 Materials and methods
T44 26-47 Sentence denotes 2.1 Data preparation
T45 48-240 Sentence denotes Compounds of the main herb in formula MSXG, SGMH, XCH, WLS and Others were searched in TCMSP [13], and screened based on drug-likeness (DL) ≥0.18 [14] and oral bioavailability (OB) ≥30 % [15].
T46 241-341 Sentence denotes Then, the corresponding Pubchem CIDs of the compounds were retrieved from the Pubchem database [16].
T47 342-537 Sentence denotes Finally, BATMAN-TCM [17], an bioinformatics analysis tool for studying TCM’s molecular mechanisms, was used to identify potential target genes of the active components (uploaded by Pubchem CIDs).
T48 538-618 Sentence denotes To make the results more credible, we set the cutoff score ≥ 30 as the standard.
T49 619-809 Sentence denotes Finally, to discovery the co-differentially presented targets in the five formulae, we conducted pan-formula analysis using Venn diagrams (http://bioinformatics.psb.ugent.be/webtools/Venn/).
T50 811-874 Sentence denotes 2.2 Functional and pathway enrichment analyses of QFPD targets
T51 875-1152 Sentence denotes To better understand the functional involvements of MSXG, SGMH, XCH, WLS and Others targets, bioinformatics analyses of multiple formulae targets were first performed, including Gene Ontology (GO) function term, KEGG biological pathway and OMIM/TTD disease enrichment analyses.
T52 1153-1451 Sentence denotes Then, kinase, microRNA and transcriptional factor (TF) enrichment analyses of the five formulae targets were conducted using the tool WebGestalt (http://bioinfo.vanderbilt.edu/webgestalt) [18] and the bubble and chord plot map were drawn with the R language ggplot2 and GOplot installation package.
T53 1452-1529 Sentence denotes P-values were adjusted for multiple testing by Benjamini-Hochberg adjustment.
T54 1531-1590 Sentence denotes 2.3 Construction of PPI network and MCODE modules analysis
T55 1591-1734 Sentence denotes To further explore the pharmacological mechanisms, five PPI networks were built including: MSXG, SGMH, XCH, WLS and Others targets PPI network.
T56 1735-1889 Sentence denotes Specifically, the five kinds of target proteins were respectively uploaded to Metascape to build PPI networks, with the species limited to “Homo sapiens”.
T57 1890-2049 Sentence denotes Next, MCODE analysis [19], a method for finding densely connected modules in PPI networks, was carried out by Cytoscape 3.2.1 (http://www.cytoscape.org/) [20].
T58 2050-2273 Sentence denotes Finally, KEGG (Kyoto Encyclopedia of Genes and Genomes) signaling pathway enrichment analysis was further conducted on the identified functional modules of MSXG, SGMH, XCH, WLS and Others targets PPI networks, respectively.
T59 2275-2300 Sentence denotes 2.4 Network construction
T60 2301-2464 Sentence denotes Based on the five formulae’s active components, BATMAN-TCM was used to set up five networks of components-target-pathway-disease (MSXG, SGMH, XCH, WLS and Others).
T61 2465-2705 Sentence denotes To emphasize the important elements of the five networks, we only exhibited the hub targets according to the default criteria (targets with no fewer than 6, 5, 8, 7 and 4 linking compounds for MSXG, SGMH, XCH, WLS and Others, respectively).
T62 2706-2828 Sentence denotes Finally, these important linking compounds of MSXG, SGMH, XCH, WLS and Others networks were obtained for further analysis.
T63 2830-2885 Sentence denotes 2.5 ADMET evaluation of the predicted active compounds
T64 2886-3119 Sentence denotes Based on the SwissADME database [21], the physicochemical properties of the active components was predicted, including molecular weight (MW), rotatable bonds count, H-bond acceptors and donors count, TPSA and leadlikeness violations.
T65 3120-3616 Sentence denotes Second, pharmacokinetic properties was predicted through pkCSM database [22], which contained the absorption (Caco-2 cell permeability, HIA and skin permeability), distribution (VDss, unbound fraction, blood-brain barrier and central nervous system permeability), excretion (total clearance and renal OCT2 substrate) and toxicity (AMES toxicity, maximum tolerated dose, hERG I inhibitor, hERG II inhibitor, oral rat acute toxicity (LD50), hepatotoxicity, skin sensitisation, and minnow toxicity).
T66 3618-3640 Sentence denotes 2.6 Molecular docking
T67 3641-3857 Sentence denotes To facilitate drug discovery against COVID-19, we used COVID-19 Docking Server (https://ncov.schanglab.org.cn/index.php) [23] to predict the binding modes between 12 COVID-19 targets and the 20 lead-likeness of QFPD.
T68 3858-4402 Sentence denotes Specifically, the 10 nonstructural and 2 structural proteins of 2019-nCov were collected (Mpro, PLpro, nsp12 [RdRp with RNA], nsp12 [RdRp without RNA], nsp13 [Helicase ADP site], nsp13 [Helicase NCB site], nsp14 [ExoN], nsp14 [N7-MTase], nsp15 [endoribonuclease], nsp16 [2′-O-MTase], N protein NCB site and E protein [ion channel]); and the corresponding Protein Data Bank (PDB)codes were 6LU7, 4OW0, 3H5Y (with RNA), 3H5Y (without RNA), 6JYT (ADP site), 6JYT (NCB site), 5C8S (ExoN),5C8S (N7-MTase), 2RHB, 2XYR, 4KYJ, and 5 × 29, respectively.
T69 4403-4528 Sentence denotes Finally, Discovery Studio software elucidated the 14 best docking results between compounds and the COVID-19 target proteins.
T70 4530-4599 Sentence denotes 2.7 ACE2 and CD147 expression across tissues and co-expression genes
T71 4600-4751 Sentence denotes To understand the expression and distribution of ACE2 and CD147 across tissues, a radar plot including 53 tissues was performed through COXPRESdb [24].
T72 4752-4846 Sentence denotes And the top 200 co-expression genes of ACE2 and CD147 (P < 1E-16) were obtained, respectively.
T73 4847-4986 Sentence denotes Then, text mining method from the literature was used to screen for pneumonia-associated genes through COREMINE (http://www.coremine.com/).
T74 4987-5130 Sentence denotes In addition, co-expression genes of ACE2 in colonic epithelial cells [25] and HCoV-associated host proteins with references [26] were obtained.
T75 5131-5257 Sentence denotes Finally, we performed UpsetView analysis (http://www.ehbio.com/ImageGP/) between these five sets of proteins and QFPD targets.
T76 5259-5358 Sentence denotes 2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network
T77 5359-5600 Sentence denotes Since QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-target drugs to disturb the disease network.
T78 5601-5705 Sentence denotes Specifically, the disturbing effect of drugs on diseases is simulated by deleting disease network nodes.
T79 5706-5918 Sentence denotes The disturbance rate of drugs is calculated by comparing the changes of network topology characteristics before and after drug intervention, which is used to evaluate the intervention effect of drugs on diseases.
T80 5919-6088 Sentence denotes Firstly, COVID-19 disease network was constructed based on specific cytokines of COVID-19 [27] and differentially expressed genes of SARS (GSE36969, GSE51387, GSE68820).
T81 6089-6331 Sentence denotes Then, this platform uses four kinds of network topology characteristics to evaluate the robustness of COVID-19 network, including network average connectivity, network average shortest path, connectivity centrality and compactness centrality.
T82 6332-6482 Sentence denotes And the five formulae (MSXG, SGMH, XCH, WLS and Others) disturbance scores are calculated according to the changes before and after drug intervention.
T83 6483-6738 Sentence denotes Finally, the disturbance effect of the five formulae on the COVID-19 network was compared with null models with the total score of the disturbance, and the higher the value is, the higher the damage degree of drugs to the stability of the network is [12].
T84 6739-6886 Sentence denotes We take Banxia tianma baizhu decoction (BXTM) as negative control; and another efficient formula Yi du bi fei decoction (YDBF) as positive control.

2_test

Id Subject Object Predicate Lexical cue
32554251-24735618-6393492 142-144 24735618 denotes 13
32554251-17033281-6393493 195-197 17033281 denotes 14
32554251-22837674-6393494 236-238 22837674 denotes 15
32554251-26400175-6393495 337-339 26400175 denotes 16
32554251-26879404-6393496 363-365 26879404 denotes 17
32554251-15980575-6393497 1342-1344 15980575 denotes 18
32554251-12525261-6393498 1912-1914 12525261 denotes 19
32554251-14597658-6393499 2045-2047 14597658 denotes 20
32554251-28256516-6393500 2919-2921 28256516 denotes 21
32554251-25860834-6393501 3193-3195 25860834 denotes 22
32554251-30462320-6393502 4747-4749 30462320 denotes 24
32554251-31986264-6393503 6010-6012 31986264 denotes 27
32554251-30809144-6393504 6734-6736 30809144 denotes 12