Natural Product: NPC587934

Natural Product IDNPC587934
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-(3,4-dihydroxy-5-methoxy-phenyl)-5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 2-(3,4-dihydroxy-5-methoxy-phenyl)-5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-O-glycosides

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey OKKLDYKZUSTYOZ-CIKBWTFPSA-N
Standard InCHI InChI=1S/C34H42O22/c1-9-19(38)24(43)27(46)32(51-9)50-8-17-22(41)26(45)29(48)34(55-17)56-31-23(42)18-12(36)5-11(52-33-28(47)25(44)21(40)16(7-35)54-33)6-14(18)53-30(31)10-3-13(37)20(39)15(4-10)49-2/h3-6,9,16-17,19,21-22,24-29,32-41,43-48H,7-8H2,1-2H3/t9-,16+,17-,19+,21+,22+,24+,25+,26+,27-,28-,29-,32-,33-,34+/m1/s1
SMILES COC1=CC(C2=C(O[C@@H]3O[C@H](CO[C@@H]4O[C@H](C)[C@H](O)[C@H](O)[C@H]4O)[C@H](O)[C@H](O)[C@H]3O)C(=O)C3=C(O)C=C(O[C@@H]4O[C@@H](CO)[C@H](O)[C@H](O)[C@H]4O)C=C3O2)=CC(O)=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   802.22 Volume:   717.575
?
Van der Waals volume.
Dense:   1.118 LogP:   -0.415
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.853
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.412
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   36.0
TPSA:   357.81
?
Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   13.0 Rings:   6.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.086 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.478 Fsp3:   0.559
MCE-18:   156.906
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.636 Fluc inhibitor:   0.152
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.706
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.638
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.131 Promiscuous compounds:   0.586

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.765 MDCK Permeability:   -5.145
Pgp-inhibitor:   0.0 Pgp-substrate:   0.905
PAMPA:   1.0
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   1.0
20% Bioavailability (F20%):   0.958 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.195
Plasma Protein Binding (PPB):   79.094% Volume Distribution (VD):   -0.119
Fu: 20.282%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.344
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.005
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.132
HLM stability:   0.002
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  0.895 Half-life (T1/2):  3.947

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.037
Human Hepatotoxicity (H-HT):  0.778 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.996 Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.033 Eye Corrosion:  0.0
Eye Irritation:  0.024 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.992
Hematotoxicity:  0.606 Drug-induced Nephrotoxicity:  0.917
Genotoxicity:  0.945 RPMI-8226 Immunitoxicity:  0.331
A549 Cytotoxicity:  0.995 Hek293 Cytotoxicity:  0.632
BCF:   0.288
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   2.893
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.681
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.673
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO49435 Limnanthes douglasii Species Limnanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28111 Lathyrus aphaca Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28111 Lathyrus aphaca Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC587934 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.7263 Intermediate Similarity NPC186816
0.7255 Intermediate Similarity NPC480441
0.6939 Remote Similarity NPC470443
0.6923 Remote Similarity NPC25523
0.6882 Remote Similarity NPC605784
0.6633 Remote Similarity NPC210073
0.6538 Remote Similarity NPC14187
0.6535 Remote Similarity NPC209296
0.6531 Remote Similarity NPC275454
0.6531 Remote Similarity NPC67105
0.6531 Remote Similarity NPC227508
0.6526 Remote Similarity NPC116458
0.6526 Remote Similarity NPC246943
0.6522 Remote Similarity NPC158674
0.6522 Remote Similarity NPC136042
0.6495 Remote Similarity NPC251417
0.6465 Remote Similarity NPC22062
0.6465 Remote Similarity NPC473634
0.6465 Remote Similarity NPC138811
0.6452 Remote Similarity NPC84362
0.6452 Remote Similarity NPC271692
0.6408 Remote Similarity NPC476472
0.6408 Remote Similarity NPC294815
0.6408 Remote Similarity NPC16194
0.6364 Remote Similarity NPC39834
0.6337 Remote Similarity NPC488073
0.6337 Remote Similarity NPC126784
0.6337 Remote Similarity NPC241423
0.63 Remote Similarity NPC203259
0.63 Remote Similarity NPC33054
0.63 Remote Similarity NPC176740
0.63 Remote Similarity NPC471725
0.63 Remote Similarity NPC134532
0.63 Remote Similarity NPC156869
0.63 Remote Similarity NPC602582
0.6239 Remote Similarity NPC277532
0.6237 Remote Similarity NPC289667
0.6214 Remote Similarity NPC473327
0.62 Remote Similarity NPC44931
0.617 Remote Similarity NPC297987
0.6154 Remote Similarity NPC142142
0.6146 Remote Similarity NPC611303
0.6105 Remote Similarity NPC46420
0.6095 Remote Similarity NPC473073
0.604 Remote Similarity NPC173582
0.604 Remote Similarity NPC265885
0.604 Remote Similarity NPC181465
0.604 Remote Similarity NPC215710
0.604 Remote Similarity NPC473438
0.604 Remote Similarity NPC253788
0.5922 Remote Similarity NPC473571
0.5922 Remote Similarity NPC110941
0.5909 Remote Similarity NPC292019
0.5909 Remote Similarity NPC202908
0.5905 Remote Similarity NPC32641
0.5905 Remote Similarity NPC256188
0.5905 Remote Similarity NPC35119
0.5895 Remote Similarity NPC249281
0.5865 Remote Similarity NPC240306
0.5833 Remote Similarity NPC135358
0.5825 Remote Similarity NPC65563
0.5825 Remote Similarity NPC470949
0.58 Remote Similarity NPC276377
0.5739 Remote Similarity NPC198199
0.5727 Remote Similarity NPC121703
0.5701 Remote Similarity NPC486577
0.5686 Remote Similarity NPC480463
0.5678 Remote Similarity NPC192539
0.5676 Remote Similarity NPC189564
0.5673 Remote Similarity NPC150164
0.5664 Remote Similarity NPC311850
0.5631 Remote Similarity NPC480466
0.5607 Remote Similarity NPC606657
0.5593 Remote Similarity NPC120952
0.5586 Remote Similarity NPC203145
0.5566 Remote Similarity NPC64425
0.5556 Remote Similarity NPC325555
0.5556 Remote Similarity NPC226304
0.5545 Remote Similarity NPC311830
0.5517 Remote Similarity NPC68592
0.5514 Remote Similarity NPC65711
0.551 Remote Similarity NPC277205
0.551 Remote Similarity NPC37919
0.551 Remote Similarity NPC189142
0.551 Remote Similarity NPC77660
0.55 Remote Similarity NPC488071
0.5481 Remote Similarity NPC609888
0.5472 Remote Similarity NPC204693
0.5463 Remote Similarity NPC473623
0.5455 Remote Similarity NPC58382
0.5446 Remote Similarity NPC22832
0.5429 Remote Similarity NPC67326
0.5421 Remote Similarity NPC488074
0.5413 Remote Similarity NPC488089
0.5405 Remote Similarity NPC602448
0.5377 Remote Similarity NPC479405
0.5377 Remote Similarity NPC303913
0.5354 Remote Similarity NPC95090
0.5354 Remote Similarity NPC27408
0.534 Remote Similarity NPC203050
0.534 Remote Similarity NPC488072
0.534 Remote Similarity NPC225434
0.534 Remote Similarity NPC601586
0.5333 Remote Similarity NPC209550
0.5327 Remote Similarity NPC479404
0.5321 Remote Similarity NPC72016
0.531 Remote Similarity NPC89052
0.531 Remote Similarity NPC11468
0.5306 Remote Similarity NPC473043
0.53 Remote Similarity NPC27640
0.53 Remote Similarity NPC349108
0.53 Remote Similarity NPC603655
0.5294 Remote Similarity NPC243930
0.5294 Remote Similarity NPC486578
0.5294 Remote Similarity NPC601144
0.5278 Remote Similarity NPC475366
0.5278 Remote Similarity NPC153755
0.5268 Remote Similarity NPC470446
0.5253 Remote Similarity NPC19388
0.5253 Remote Similarity NPC261866
0.5253 Remote Similarity NPC240431
0.5253 Remote Similarity NPC55786
0.5253 Remote Similarity NPC19709
0.5253 Remote Similarity NPC238376
0.525 Remote Similarity NPC488078
0.5248 Remote Similarity NPC42773
0.5248 Remote Similarity NPC472459
0.5248 Remote Similarity NPC59534
0.5248 Remote Similarity NPC45522
0.5248 Remote Similarity NPC599850
0.5246 Remote Similarity NPC262222
0.5243 Remote Similarity NPC607707
0.5229 Remote Similarity NPC479403
0.5225 Remote Similarity NPC195257
0.5225 Remote Similarity NPC475382
0.5217 Remote Similarity NPC173837
0.521 Remote Similarity NPC298666
0.5207 Remote Similarity NPC138990
0.52 Remote Similarity NPC145038
0.52 Remote Similarity NPC56077
0.52 Remote Similarity NPC281131
0.52 Remote Similarity NPC253662
0.52 Remote Similarity NPC179950
0.52 Remote Similarity NPC88789
0.52 Remote Similarity NPC491374
0.5196 Remote Similarity NPC285197
0.5189 Remote Similarity NPC471079
0.5185 Remote Similarity NPC115674
0.5182 Remote Similarity NPC122467
0.5182 Remote Similarity NPC229409
0.5179 Remote Similarity NPC101636
0.5179 Remote Similarity NPC470445
0.5164 Remote Similarity NPC175429
0.5149 Remote Similarity NPC24043
0.5146 Remote Similarity NPC101026
0.5146 Remote Similarity NPC120099
0.5146 Remote Similarity NPC488077
0.5143 Remote Similarity NPC116864
0.5143 Remote Similarity NPC244776
0.5138 Remote Similarity NPC46202
0.5135 Remote Similarity NPC5319
0.5126 Remote Similarity NPC295625
0.5124 Remote Similarity NPC470720
0.5124 Remote Similarity NPC488079
0.51 Remote Similarity NPC39360
0.51 Remote Similarity NPC29763
0.51 Remote Similarity NPC210003
0.5096 Remote Similarity NPC223747
0.5093 Remote Similarity NPC102028
0.5089 Remote Similarity NPC89127
0.5088 Remote Similarity NPC244875
0.5085 Remote Similarity NPC488083
0.505 Remote Similarity NPC64305
0.505 Remote Similarity NPC323593
0.505 Remote Similarity NPC203500
0.5048 Remote Similarity NPC355481
0.5047 Remote Similarity NPC187379
0.5043 Remote Similarity NPC473644
0.5041 Remote Similarity NPC470719
0.5041 Remote Similarity NPC470717

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC587934 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.7245 Intermediate Similarity NPD7251 Phase 2
0.6796 Remote Similarity NPD7808 Phase 3
0.6535 Remote Similarity NPD7054 Phase 4
0.63 Remote Similarity NPD6797 Phase 2
0.531 Remote Similarity NPD7472 Pre-clinical
0.5135 Remote Similarity NPD7804 Clinical (unspecified phase)

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data