Natural Product: NPC159636

Natural Product IDNPC159636
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZZIQOLQUNMQKEU-ZMGSVPCJSA-N
IUPAC Name n.a.
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

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 ZZIQOLQUNMQKEU-ZMGSVPCJSA-N
Standard InCHI InChI=1S/C27H30O15/c1-37-11-5-17-20(14(30)7-16(40-17)10-2-3-12(28)13(29)4-10)18(6-11)41-27-25(36)23(34)22(33)19(42-27)9-39-26-24(35)21(32)15(31)8-38-26/h2-7,15,19,21-29,31-36H,8-9H2,1H3/t15-,19-,21+,22-,23+,24-,25-,26+,27-/m0/s1
SMILES COc1cc2c(c(=O)cc(c3ccc(c(c3)O)O)o2)c(c1)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO[C@@H]2[C@H]([C@@H]([C@H](CO2)O)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   594.16 Volume:   543.527
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Van der Waals volume.
Dense:   1.093 LogP:   0.324
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.9
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.272
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   238.2
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.146 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.644 Fsp3:   0.444
MCE-18:   115.923
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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:   1
Colloidal aggregators:   0.653 Fluc inhibitor:   0.282
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.976
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.884
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.056 Promiscuous compounds:   0.335

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.429 MDCK Permeability:   -5.253
Pgp-inhibitor:   0.0 Pgp-substrate:   0.57
PAMPA:   0.993
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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):   0.839
20% Bioavailability (F20%):   0.922 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.082
Plasma Protein Binding (PPB):   79.54% Volume Distribution (VD):   -0.079
Fu: 17.356%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.766
BSEP inhibitor:   0.008

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.249
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.356
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.293
?
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):  1.219 Half-life (T1/2):  3.937

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.245
Human Hepatotoxicity (H-HT):  0.516 Drug-induced Liver Injury (DILI):  0.971
AMES Toxicity:  0.847 Rat Oral Acute Toxicity:  0.041
Maximum Recommended Daily Dose:  0.152 Skin Sensitization:  0.995
Carcinogencity:  0.102 Eye Corrosion:  0.0
Eye Irritation:  0.864 Respiratory Toxicity:  0.021
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.867
Hematotoxicity:  0.068 Drug-induced Nephrotoxicity:  0.517
Genotoxicity:  0.903 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.736 Hek293 Cytotoxicity:  0.25
BCF:   0.627
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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:   3.283
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.942
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.212
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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
NPO6737 Psacalium radulifolium Species Asteraceae Eukaryota roots n.a. n.a. PMID[11325222]
NPO5829 Distylium racemosum Species Hamamelidaceae Eukaryota n.a. n.a. n.a. PMID[21489793]
NPO5829 Distylium racemosum Species Hamamelidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6737 Psacalium radulifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5829 Distylium racemosum Species Hamamelidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10383 Viguiera hypochlora Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8320 Cryptostylis erythroglossa Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6737 Psacalium radulifolium Species Asteraceae 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 NPC159636 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 NPC129827
0.878 High Similarity NPC473512
0.8313 Intermediate Similarity NPC295613
0.8095 Intermediate Similarity NPC473657
0.8 Intermediate Similarity NPC15358
0.7931 Intermediate Similarity NPC284277
0.7727 Intermediate Similarity NPC475497
0.6596 Remote Similarity NPC475366
0.6559 Remote Similarity NPC210073
0.6452 Remote Similarity NPC301683
0.6364 Remote Similarity NPC610763
0.6354 Remote Similarity NPC65711
0.6344 Remote Similarity NPC236191
0.6304 Remote Similarity NPC52353
0.6264 Remote Similarity NPC293004
0.625 Remote Similarity NPC488074
0.617 Remote Similarity NPC51774
0.6105 Remote Similarity NPC67326
0.6064 Remote Similarity NPC254540
0.5938 Remote Similarity NPC44931
0.5806 Remote Similarity NPC284960
0.58 Remote Similarity NPC209296
0.5714 Remote Similarity NPC22062
0.5714 Remote Similarity NPC473634
0.5714 Remote Similarity NPC138811
0.567 Remote Similarity NPC471079
0.5644 Remote Similarity NPC229409
0.5612 Remote Similarity NPC142996
0.5612 Remote Similarity NPC67105
0.5604 Remote Similarity NPC110349
0.5591 Remote Similarity NPC182045
0.55 Remote Similarity NPC204693
0.549 Remote Similarity NPC51326
0.5464 Remote Similarity NPC172807
0.5437 Remote Similarity NPC488089
0.5437 Remote Similarity NPC600130
0.5435 Remote Similarity NPC19709
0.54 Remote Similarity NPC102028
0.5392 Remote Similarity NPC470443
0.5385 Remote Similarity NPC231194
0.5377 Remote Similarity NPC244875
0.5376 Remote Similarity NPC168822
0.5376 Remote Similarity NPC189142
0.5376 Remote Similarity NPC77660
0.5361 Remote Similarity NPC194483
0.5361 Remote Similarity NPC190003
0.534 Remote Similarity NPC473623
0.534 Remote Similarity NPC483707
0.5333 Remote Similarity NPC101636
0.5319 Remote Similarity NPC45638
0.5294 Remote Similarity NPC488073
0.5294 Remote Similarity NPC126784
0.5294 Remote Similarity NPC241423
0.5263 Remote Similarity NPC201292
0.5248 Remote Similarity NPC203259
0.5248 Remote Similarity NPC33054
0.5248 Remote Similarity NPC245059
0.5248 Remote Similarity NPC176740
0.5248 Remote Similarity NPC471725
0.5248 Remote Similarity NPC134532
0.5248 Remote Similarity NPC156869
0.5248 Remote Similarity NPC602582
0.5204 Remote Similarity NPC61791
0.5196 Remote Similarity NPC186816
0.5152 Remote Similarity NPC211594
0.5146 Remote Similarity NPC64051
0.5106 Remote Similarity NPC83283
0.5047 Remote Similarity NPC298171

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC159636 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
0.6735 Remote Similarity NPD7472 Pre-clinical
0.58 Remote Similarity NPD7054 Phase 4
0.5385 Remote Similarity NPD7251 Phase 2
0.5248 Remote Similarity NPD6797 Phase 2

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