Natural Product: NPC589115

Natural Product IDNPC589115
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-dimethoxyphenyl)-5,7-dimethoxy-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-dimethoxyphenyl)-5,7-dimethoxy-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]

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 MEJNXDYVXPUWEN-JJLQAKBHSA-N
Standard InCHI InChI=1S/C31H38O16/c1-12-21(32)24(35)26(37)30(44-12)43-11-19-22(33)25(36)27(38)31(46-19)47-29-23(34)20-17(42-5)9-14(39-2)10-18(20)45-28(29)13-6-7-15(40-3)16(8-13)41-4/h6-10,12,19,21-22,24-27,30-33,35-38H,11H2,1-5H3/t12-,19-,21+,22+,24+,25+,26-,27-,30-,31+/m1/s1
SMILES COC1=CC(OC)=C2C(=O)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(C3=CC=C(OC)C(OC)=C3)OC2=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   666.22 Volume:   621.502
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Van der Waals volume.
Dense:   1.072 LogP:   1.499
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.818
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.615
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   30.0
TPSA:   225.43
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Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.161 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.669 Fsp3:   0.516
MCE-18:   119.894
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.581 Fluc inhibitor:   0.226
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.7
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.433
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.028 Promiscuous compounds:   0.124

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.941 MDCK Permeability:   -5.285
Pgp-inhibitor:   0.056 Pgp-substrate:   0.759
PAMPA:   0.801
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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):   0.991
20% Bioavailability (F20%):   0.087 30% Bioavailability (F30%):   0.784
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.125
Plasma Protein Binding (PPB):   83.643% Volume Distribution (VD):   -0.182
Fu: 16.771%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.969
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.812
BSEP inhibitor:   0.613

ADMET: Metabolism

CYP1A2-inhibitor:   0.064 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.011
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.091
HLM stability:   0.72
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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):  1.404 Half-life (T1/2):  2.963

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.137
Human Hepatotoxicity (H-HT):  0.649 Drug-induced Liver Injury (DILI):  0.962
AMES Toxicity:  0.972 Rat Oral Acute Toxicity:  0.04
Maximum Recommended Daily Dose:  0.05 Skin Sensitization:  0.999
Carcinogencity:  0.272 Eye Corrosion:  0.0
Eye Irritation:  0.214 Respiratory Toxicity:  0.084
Drug-induced Neurotoxicity:  0.168 Ototoxicity:  0.871
Hematotoxicity:  0.764 Drug-induced Nephrotoxicity:  0.78
Genotoxicity:  0.62 RPMI-8226 Immunitoxicity:  0.289
A549 Cytotoxicity:  0.907 Hek293 Cytotoxicity:  0.716
BCF:   0.338
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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:   3.234
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.675
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.904
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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
NPO26212 Fagopyrum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26212 Fagopyrum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26212 Fagopyrum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26212 Fagopyrum tataricum Species Polygonaceae 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 NPC589115 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
0.7931 Intermediate Similarity NPC475366
0.6774 Remote Similarity NPC284277
0.6774 Remote Similarity NPC475497
0.6186 Remote Similarity NPC470443
0.6146 Remote Similarity NPC186816
0.6122 Remote Similarity NPC473327
0.6082 Remote Similarity NPC126784
0.6082 Remote Similarity NPC241423
0.6 Remote Similarity NPC476472
0.6 Remote Similarity NPC294815
0.6 Remote Similarity NPC295613
0.6 Remote Similarity NPC16194
0.6 Remote Similarity NPC473657
0.598 Remote Similarity NPC244875
0.5979 Remote Similarity NPC473571
0.5979 Remote Similarity NPC110941
0.5938 Remote Similarity NPC15358
0.5876 Remote Similarity NPC22062
0.5876 Remote Similarity NPC203259
0.5876 Remote Similarity NPC473634
0.5876 Remote Similarity NPC33054
0.5876 Remote Similarity NPC176740
0.5876 Remote Similarity NPC471725
0.5876 Remote Similarity NPC134532
0.5876 Remote Similarity NPC138811
0.5876 Remote Similarity NPC602582
0.5842 Remote Similarity NPC473073
0.5816 Remote Similarity NPC204693
0.5773 Remote Similarity NPC173582
0.5773 Remote Similarity NPC265885
0.5773 Remote Similarity NPC181465
0.5773 Remote Similarity NPC215710
0.5773 Remote Similarity NPC39834
0.5773 Remote Similarity NPC473438
0.5773 Remote Similarity NPC253788
0.5714 Remote Similarity NPC65563
0.5714 Remote Similarity NPC470949
0.5644 Remote Similarity NPC209296
0.5612 Remote Similarity NPC67105
0.5591 Remote Similarity NPC182045
0.557 Remote Similarity NPC310259
0.5556 Remote Similarity NPC473512
0.5556 Remote Similarity NPC129827
0.5556 Remote Similarity NPC475155
0.551 Remote Similarity NPC187379
0.5455 Remote Similarity NPC227508
0.5437 Remote Similarity NPC142142
0.54 Remote Similarity NPC210073
0.5361 Remote Similarity NPC61791
0.5321 Remote Similarity NPC480441
0.5319 Remote Similarity NPC271692
0.53 Remote Similarity NPC44931
0.5294 Remote Similarity NPC488073
0.5258 Remote Similarity NPC293004
0.5229 Remote Similarity NPC477895
0.5213 Remote Similarity NPC158674
0.5208 Remote Similarity NPC611303
0.5189 Remote Similarity NPC470445
0.5182 Remote Similarity NPC25523
0.5176 Remote Similarity NPC474388
0.5161 Remote Similarity NPC114740
0.5158 Remote Similarity NPC46420
0.5152 Remote Similarity NPC52353
0.5146 Remote Similarity NPC488074
0.514 Remote Similarity NPC470446
0.5098 Remote Similarity NPC102028
0.5098 Remote Similarity NPC156869
0.5094 Remote Similarity NPC470447
0.5091 Remote Similarity NPC173837
0.5047 Remote Similarity NPC470449
0.5046 Remote Similarity NPC89052

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC589115 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
0.6907 Remote Similarity NPD7808 Phase 3
0.6078 Remote Similarity NPD7472 Pre-clinical
0.6 Remote Similarity NPD7251 Phase 2
0.5876 Remote Similarity NPD6797 Phase 2
0.5644 Remote Similarity NPD7054 Phase 4

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