Natural Product: NPC584331

Natural Product IDNPC584331
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-6,7-dimethoxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-6,7-dimethoxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{R},5~{R},6~{S})-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 BFPKTWLXEAVKBG-KFKQZHGQSA-N
Standard InCHI InChI=1S/C30H36O17/c1-10-18(32)22(36)24(38)29(44-10)43-9-16-19(33)23(37)25(39)30(46-16)47-28-21(35)17-14(8-15(41-3)27(42-4)20(17)34)45-26(28)11-5-6-12(31)13(7-11)40-2/h5-8,10,16,18-19,22-25,29-34,36-39H,9H2,1-4H3/t10-,16+,18-,19-,22+,23-,24+,25+,29+,30-/m0/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(OC)=C(OC)C=C3O2)=CC=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   668.2 Volume:   612.996
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Van der Waals volume.
Dense:   1.09 LogP:   0.678
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.197
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.232
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   30.0
TPSA:   256.66
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.135 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.806 Fsp3:   0.5
MCE-18:   124.0
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.587 Fluc inhibitor:   0.239
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.744
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.568
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.033 Promiscuous compounds:   0.36

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.18 MDCK Permeability:   -5.386
Pgp-inhibitor:   0.003 Pgp-substrate:   0.914
PAMPA:   0.989
?
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):   0.895
20% Bioavailability (F20%):   0.267 30% Bioavailability (F30%):   0.853
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.583
Plasma Protein Binding (PPB):   83.999% Volume Distribution (VD):   -0.088
Fu: 14.347%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.584
BSEP inhibitor:   0.058

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:   0.045
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.891
HLM stability:   0.238
?
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):  1.431 Half-life (T1/2):  3.359

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.207
Human Hepatotoxicity (H-HT):  0.447 Drug-induced Liver Injury (DILI):  0.844
AMES Toxicity:  0.866 Rat Oral Acute Toxicity:  0.02
Maximum Recommended Daily Dose:  0.025 Skin Sensitization:  0.997
Carcinogencity:  0.057 Eye Corrosion:  0.0
Eye Irritation:  0.138 Respiratory Toxicity:  0.017
Drug-induced Neurotoxicity:  0.011 Ototoxicity:  0.916
Hematotoxicity:  0.312 Drug-induced Nephrotoxicity:  0.599
Genotoxicity:  0.223 RPMI-8226 Immunitoxicity:  0.25
A549 Cytotoxicity:  0.629 Hek293 Cytotoxicity:  0.478
BCF:   0.419
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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:   3.084
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.478
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.699
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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
NPO24561 Sesuvium portulacastrum Species Aizoaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24561 Sesuvium portulacastrum Species Aizoaceae 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 NPC584331 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
0.7912 Intermediate Similarity NPC476472
0.7912 Intermediate Similarity NPC294815
0.7912 Intermediate Similarity NPC16194
0.7363 Intermediate Similarity NPC473571
0.7363 Intermediate Similarity NPC110941
0.734 Intermediate Similarity NPC473073
0.7283 Intermediate Similarity NPC126784
0.7283 Intermediate Similarity NPC241423
0.7204 Intermediate Similarity NPC470443
0.7079 Intermediate Similarity NPC488072
0.6897 Remote Similarity NPC27640
0.6809 Remote Similarity NPC186816
0.6598 Remote Similarity NPC473327
0.6596 Remote Similarity NPC173582
0.6596 Remote Similarity NPC265885
0.6596 Remote Similarity NPC181465
0.6596 Remote Similarity NPC215710
0.6596 Remote Similarity NPC473438
0.6596 Remote Similarity NPC253788
0.6562 Remote Similarity NPC153755
0.6542 Remote Similarity NPC488079
0.6535 Remote Similarity NPC89052
0.6526 Remote Similarity NPC203259
0.6526 Remote Similarity NPC65563
0.6526 Remote Similarity NPC33054
0.6526 Remote Similarity NPC470949
0.6526 Remote Similarity NPC176740
0.6526 Remote Similarity NPC471725
0.6526 Remote Similarity NPC134532
0.6526 Remote Similarity NPC602582
0.6458 Remote Similarity NPC204693
0.6413 Remote Similarity NPC223747
0.6408 Remote Similarity NPC173837
0.6392 Remote Similarity NPC488073
0.6311 Remote Similarity NPC473072
0.6224 Remote Similarity NPC488074
0.6154 Remote Similarity NPC24043
0.6129 Remote Similarity NPC101026
0.6129 Remote Similarity NPC488077
0.6082 Remote Similarity NPC39834
0.6078 Remote Similarity NPC470449
0.6064 Remote Similarity NPC99957
0.6019 Remote Similarity NPC470446
0.6 Remote Similarity NPC483414
0.6 Remote Similarity NPC483415
0.598 Remote Similarity NPC470447
0.5976 Remote Similarity NPC261004
0.5941 Remote Similarity NPC483416
0.5922 Remote Similarity NPC470445
0.5882 Remote Similarity NPC142142
0.5851 Remote Similarity NPC488071
0.5841 Remote Similarity NPC192539
0.5806 Remote Similarity NPC305811
0.5806 Remote Similarity NPC46420
0.5806 Remote Similarity NPC271692
0.5804 Remote Similarity NPC488078
0.5784 Remote Similarity NPC209296
0.5758 Remote Similarity NPC44931
0.5758 Remote Similarity NPC67105
0.5741 Remote Similarity NPC217520
0.57 Remote Similarity NPC22062
0.57 Remote Similarity NPC473634
0.57 Remote Similarity NPC210073
0.57 Remote Similarity NPC138811
0.57 Remote Similarity NPC156869
0.567 Remote Similarity NPC203050
0.567 Remote Similarity NPC225434
0.566 Remote Similarity NPC470455
0.5657 Remote Similarity NPC471079
0.5638 Remote Similarity NPC603655
0.5636 Remote Similarity NPC139571
0.5612 Remote Similarity NPC172807
0.56 Remote Similarity NPC67326
0.5596 Remote Similarity NPC480441
0.5596 Remote Similarity NPC25523
0.5567 Remote Similarity NPC602805
0.5556 Remote Similarity NPC254540
0.5524 Remote Similarity NPC220173
0.5521 Remote Similarity NPC611303
0.55 Remote Similarity NPC609888
0.5464 Remote Similarity NPC21666
0.5463 Remote Similarity NPC121703
0.5426 Remote Similarity NPC249281
0.5413 Remote Similarity NPC470451
0.5413 Remote Similarity NPC470416
0.5413 Remote Similarity NPC189564
0.5408 Remote Similarity NPC206123
0.54 Remote Similarity NPC473682
0.5392 Remote Similarity NPC233994
0.5385 Remote Similarity NPC12013
0.5385 Remote Similarity NPC11432
0.5385 Remote Similarity NPC477613
0.5368 Remote Similarity NPC158674
0.5364 Remote Similarity NPC292019
0.5364 Remote Similarity NPC202908
0.5354 Remote Similarity NPC276377
0.5347 Remote Similarity NPC187379
0.5333 Remote Similarity NPC122467
0.5333 Remote Similarity NPC483707
0.5327 Remote Similarity NPC36138
0.5321 Remote Similarity NPC203145
0.53 Remote Similarity NPC116864
0.53 Remote Similarity NPC244776
0.53 Remote Similarity NPC211594
0.5294 Remote Similarity NPC227508
0.5288 Remote Similarity NPC475366
0.5283 Remote Similarity NPC486577
0.5278 Remote Similarity NPC470450
0.5258 Remote Similarity NPC59534
0.5238 Remote Similarity NPC211532
0.5238 Remote Similarity NPC488364
0.5234 Remote Similarity NPC483412
0.5234 Remote Similarity NPC89127
0.5204 Remote Similarity NPC219904
0.5185 Remote Similarity NPC221342
0.5185 Remote Similarity NPC476470
0.5158 Remote Similarity NPC111929
0.5158 Remote Similarity NPC320283
0.5158 Remote Similarity NPC41121
0.5155 Remote Similarity NPC488080
0.5155 Remote Similarity NPC169977
0.5152 Remote Similarity NPC181616
0.5152 Remote Similarity NPC606560
0.5138 Remote Similarity NPC602448
0.5133 Remote Similarity NPC277532
0.5104 Remote Similarity NPC127546
0.5104 Remote Similarity NPC57625
0.5104 Remote Similarity NPC173637
0.5104 Remote Similarity NPC317489
0.5104 Remote Similarity NPC223424
0.5104 Remote Similarity NPC600591
0.5102 Remote Similarity NPC42773
0.5102 Remote Similarity NPC45522
0.51 Remote Similarity NPC116458
0.51 Remote Similarity NPC246943
0.51 Remote Similarity NPC605784
0.5096 Remote Similarity NPC150164
0.5093 Remote Similarity NPC473071
0.5093 Remote Similarity NPC483413
0.5089 Remote Similarity NPC477895
0.5085 Remote Similarity NPC209550
0.5056 Remote Similarity NPC469622
0.5052 Remote Similarity NPC265530
0.5048 Remote Similarity NPC470444
0.5047 Remote Similarity NPC606657

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC584331 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
0.6526 Remote Similarity NPD6797 Phase 2
0.6465 Remote Similarity NPD7251 Phase 2
0.6373 Remote Similarity NPD7808 Phase 3
0.5784 Remote Similarity NPD7054 Phase 4
0.5182 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