Natural Product: NPC492832

Natural Product IDNPC492832
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Q23419101
IUPAC Name 2-(3,4-dihydroxyphenyl)-5-hydroxy-7-[(2~{S},3~{S},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{R},5~{S},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]

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 BFCXCFJUDBNEMU-FFUNXBBISA-N
Standard InCHI InChI=1S/C33H40O20/c1-9-19(37)23(41)26(44)31(48-9)47-8-17-21(39)25(43)28(46)33(52-17)53-30-22(40)18-15(36)6-12(50-32-27(45)24(42)20(38)10(2)49-32)7-16(18)51-29(30)11-3-4-13(34)14(35)5-11/h3-7,9-10,17,19-21,23-28,31-39,41-46H,8H2,1-2H3/t9-,10-,17-,19+,20+,21-,23+,24+,25-,26-,27+,28-,31-,32+,33+/m1/s1
SMILES C[C@H]1O[C@@H](OC2=CC(O)=C3C(=O)C(O[C@@H]4O[C@H](CO[C@@H]5O[C@H](C)[C@H](O)[C@H](O)[C@H]5O)[C@@H](O)[C@@H](O)[C@H]4O)=C(C4=CC=C(O)C(O)=C4)OC3=C2)[C@@H](O)[C@@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   756.21 Volume:   682.698
?
Van der Waals volume.
Dense:   1.108 LogP:   0.4
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.875
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.24
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   36.0
TPSA:   328.35
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   12.0 Rings:   6.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.101 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.381 Fsp3:   0.545
MCE-18:   154.294
?
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:   0.646 Fluc inhibitor:   0.304
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.759
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.612
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.186 Promiscuous compounds:   0.581

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.538 MDCK Permeability:   -5.029
Pgp-inhibitor:   0.0 Pgp-substrate:   0.874
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):   0.083
20% Bioavailability (F20%):   0.114 30% Bioavailability (F30%):   0.941
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.007
Plasma Protein Binding (PPB):   73.137% Volume Distribution (VD):   -0.15
Fu: 23.08%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.961
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.045
BSEP inhibitor:   0.022

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:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.841
HLM stability:   0.586
?
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):  0.949 Half-life (T1/2):  7.012

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.331
Human Hepatotoxicity (H-HT):  0.182 Drug-induced Liver Injury (DILI):  0.557
AMES Toxicity:  0.897 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  0.997
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.01 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.044 Drug-induced Nephrotoxicity:  0.1
Genotoxicity:  0.069 RPMI-8226 Immunitoxicity:  0.052
A549 Cytotoxicity:  0.696 Hek293 Cytotoxicity:  0.375
BCF:   0.413
?
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:   3.095
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.837
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.852
?
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
NPO14714 Equisetum silvaticum Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17379 Lepidium syvaschicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO54499 Lathyrus chrysanthus Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17379 Lepidium syvaschicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14714 Equisetum silvaticum Species Equisetaceae 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 NPC492832 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
0.9012 High Similarity NPC186816
0.8101 Intermediate Similarity NPC271692
0.8095 Intermediate Similarity NPC67105
0.8 Intermediate Similarity NPC203259
0.8 Intermediate Similarity NPC33054
0.8 Intermediate Similarity NPC210073
0.8 Intermediate Similarity NPC176740
0.8 Intermediate Similarity NPC471725
0.8 Intermediate Similarity NPC134532
0.8 Intermediate Similarity NPC602582
0.7931 Intermediate Similarity NPC470443
0.7849 Intermediate Similarity NPC480441
0.7711 Intermediate Similarity NPC605784
0.7667 Intermediate Similarity NPC473073
0.7614 Intermediate Similarity NPC126784
0.7614 Intermediate Similarity NPC241423
0.7407 Intermediate Similarity NPC249281
0.7273 Intermediate Similarity NPC173582
0.7273 Intermediate Similarity NPC44931
0.7273 Intermediate Similarity NPC265885
0.7273 Intermediate Similarity NPC181465
0.7273 Intermediate Similarity NPC215710
0.7273 Intermediate Similarity NPC473438
0.7273 Intermediate Similarity NPC227508
0.7273 Intermediate Similarity NPC253788
0.7229 Intermediate Similarity NPC46420
0.7209 Intermediate Similarity NPC276377
0.7113 Intermediate Similarity NPC25523
0.7108 Intermediate Similarity NPC158674
0.7108 Intermediate Similarity NPC136042
0.7079 Intermediate Similarity NPC39834
0.7053 Intermediate Similarity NPC14187
0.7 Intermediate Similarity NPC65563
0.7 Intermediate Similarity NPC470949
0.7 Intermediate Similarity NPC156869
0.6989 Remote Similarity NPC142142
0.6897 Remote Similarity NPC116458
0.6897 Remote Similarity NPC246943
0.6889 Remote Similarity NPC67326
0.686 Remote Similarity NPC611303
0.6813 Remote Similarity NPC22062
0.6813 Remote Similarity NPC473634
0.6813 Remote Similarity NPC138811
0.6813 Remote Similarity NPC150164
0.6809 Remote Similarity NPC486577
0.6786 Remote Similarity NPC238376
0.6739 Remote Similarity NPC473571
0.6739 Remote Similarity NPC110941
0.6737 Remote Similarity NPC476472
0.6737 Remote Similarity NPC294815
0.6737 Remote Similarity NPC16194
0.6702 Remote Similarity NPC209296
0.6702 Remote Similarity NPC473327
0.6667 Remote Similarity NPC488073
0.6628 Remote Similarity NPC84362
0.6628 Remote Similarity NPC27640
0.6588 Remote Similarity NPC127546
0.6588 Remote Similarity NPC57625
0.6588 Remote Similarity NPC19709
0.6588 Remote Similarity NPC173637
0.6588 Remote Similarity NPC317489
0.6588 Remote Similarity NPC223424
0.6588 Remote Similarity NPC600591
0.6556 Remote Similarity NPC116864
0.6556 Remote Similarity NPC244776
0.6526 Remote Similarity NPC122467
0.6526 Remote Similarity NPC32641
0.6526 Remote Similarity NPC256188
0.6526 Remote Similarity NPC72016
0.65 Remote Similarity NPC292019
0.65 Remote Similarity NPC202908
0.6489 Remote Similarity NPC488074
0.6484 Remote Similarity NPC251417
0.6421 Remote Similarity NPC65711
0.6392 Remote Similarity NPC89127
0.6364 Remote Similarity NPC59534
0.6354 Remote Similarity NPC35119
0.6344 Remote Similarity NPC275454
0.6322 Remote Similarity NPC297987
0.6277 Remote Similarity NPC303913
0.6263 Remote Similarity NPC470446
0.625 Remote Similarity NPC305811
0.6237 Remote Similarity NPC471079
0.6196 Remote Similarity NPC265115
0.6186 Remote Similarity NPC606657
0.6162 Remote Similarity NPC470445
0.6139 Remote Similarity NPC121703
0.6023 Remote Similarity NPC289667
0.6023 Remote Similarity NPC108831
0.6023 Remote Similarity NPC182634
0.602 Remote Similarity NPC229409
0.6 Remote Similarity NPC101636
0.5979 Remote Similarity NPC240306
0.5962 Remote Similarity NPC303694
0.5938 Remote Similarity NPC605592
0.5922 Remote Similarity NPC189564
0.5918 Remote Similarity NPC12013
0.5918 Remote Similarity NPC483414
0.5918 Remote Similarity NPC11432
0.5918 Remote Similarity NPC483415
0.5918 Remote Similarity NPC477613
0.5909 Remote Similarity NPC111929
0.5909 Remote Similarity NPC320283
0.5909 Remote Similarity NPC473043
0.5909 Remote Similarity NPC331652
0.5909 Remote Similarity NPC41121
0.59 Remote Similarity NPC471669
0.5895 Remote Similarity NPC480466
0.5859 Remote Similarity NPC483416
0.5825 Remote Similarity NPC203145
0.5818 Remote Similarity NPC241781
0.5778 Remote Similarity NPC277205
0.5778 Remote Similarity NPC37919
0.5745 Remote Similarity NPC190003
0.573 Remote Similarity NPC135599
0.573 Remote Similarity NPC73855
0.573 Remote Similarity NPC113968
0.573 Remote Similarity NPC328940
0.573 Remote Similarity NPC277174
0.573 Remote Similarity NPC606877
0.5729 Remote Similarity NPC187379
0.5714 Remote Similarity NPC204693
0.57 Remote Similarity NPC37668
0.57 Remote Similarity NPC473623
0.5686 Remote Similarity NPC221342
0.5686 Remote Similarity NPC476470
0.5684 Remote Similarity NPC95866
0.5676 Remote Similarity NPC209550
0.5657 Remote Similarity NPC64425
0.5644 Remote Similarity NPC488089
0.5636 Remote Similarity NPC156785
0.5636 Remote Similarity NPC162394
0.5631 Remote Similarity NPC223426
0.5631 Remote Similarity NPC602448
0.5619 Remote Similarity NPC470451
0.5607 Remote Similarity NPC277532
0.5604 Remote Similarity NPC145038
0.5604 Remote Similarity NPC56077
0.5604 Remote Similarity NPC281131
0.5604 Remote Similarity NPC253662
0.5604 Remote Similarity NPC179950
0.5604 Remote Similarity NPC88789
0.5604 Remote Similarity NPC189142
0.5604 Remote Similarity NPC77660
0.5604 Remote Similarity NPC491374
0.5591 Remote Similarity NPC175107
0.5591 Remote Similarity NPC488071
0.5577 Remote Similarity NPC81042
0.5556 Remote Similarity NPC115674
0.5543 Remote Similarity NPC349108
0.5534 Remote Similarity NPC298171
0.5534 Remote Similarity NPC470449
0.5528 Remote Similarity NPC482520
0.5528 Remote Similarity NPC482519
0.5524 Remote Similarity NPC89052
0.5524 Remote Similarity NPC11468
0.55 Remote Similarity NPC153755
0.55 Remote Similarity NPC64051
0.5481 Remote Similarity NPC135358
0.5474 Remote Similarity NPC223747
0.5455 Remote Similarity NPC479405
0.5455 Remote Similarity NPC155877
0.5437 Remote Similarity NPC470447
0.5426 Remote Similarity NPC219904
0.5421 Remote Similarity NPC173837
0.5417 Remote Similarity NPC355481
0.54 Remote Similarity NPC479404
0.5375 Remote Similarity NPC188871
0.5354 Remote Similarity NPC471748
0.5351 Remote Similarity NPC192539
0.5347 Remote Similarity NPC475366
0.534 Remote Similarity NPC64755
0.5333 Remote Similarity NPC276222
0.5333 Remote Similarity NPC274618
0.5333 Remote Similarity NPC118284
0.5333 Remote Similarity NPC608147
0.5319 Remote Similarity NPC42773
0.5319 Remote Similarity NPC45522
0.5319 Remote Similarity NPC599850
0.531 Remote Similarity NPC480444
0.5306 Remote Similarity NPC254540
0.5299 Remote Similarity NPC487499
0.5294 Remote Similarity NPC479403
0.5288 Remote Similarity NPC473071
0.528 Remote Similarity NPC482521
0.5275 Remote Similarity NPC67037
0.5275 Remote Similarity NPC255615
0.5269 Remote Similarity NPC265530
0.5268 Remote Similarity NPC298666
0.5263 Remote Similarity NPC138990
0.5254 Remote Similarity NPC483159
0.5254 Remote Similarity NPC483160
0.5253 Remote Similarity NPC29958
0.5253 Remote Similarity NPC609888
0.5248 Remote Similarity NPC129264
0.5243 Remote Similarity NPC270448
0.5229 Remote Similarity NPC473644
0.5221 Remote Similarity NPC488740
0.5217 Remote Similarity NPC175429
0.5208 Remote Similarity NPC181616

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC492832 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
0.8929 High Similarity NPD7251 Phase 2
0.8 Intermediate Similarity NPD6797 Phase 2
0.734 Intermediate Similarity NPD7808 Phase 3
0.6702 Remote Similarity NPD7054 Phase 4
0.5234 Remote Similarity NPD7472 Pre-clinical

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