Natural Product: NPC100482

Natural Product IDNPC100482
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2S)-4',5,7-Trihydroxyflavan-(4Beta->8)-Epiafzelechin
IUPAC Name (2R,3R)-8-[(2S,4R)-5,7-dihydroxy-2-(4-hydroxyphenyl)-3,4-dihydro-2H-chromen-4-yl]-2-(4-hydroxyphenyl)-3,4-dihydro-2H-chromene-3,5,7-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2335721
PubChem CID 71524300
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001586] Biflavonoids and polyflavonoids

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 FWNROEJRQURIKY-YLJDVJNMSA-N
Standard InCHI InChI=1S/C30H26O9/c31-16-5-1-14(2-6-16)25-12-20(27-22(35)9-18(33)10-26(27)38-25)28-23(36)13-21(34)19-11-24(37)29(39-30(19)28)15-3-7-17(32)8-4-15/h1-10,13,20,24-25,29,31-37H,11-12H2/t20-,24-,25+,29-/m1/s1
SMILES Oc1ccc(cc1)[C@H]1Oc2cc(O)cc(c2[C@@H](C1)c1c(O)cc(c2c1O[C@H](c1ccc(cc1)O)[C@@H](C2)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   530.16 Volume:   523.572
?
Van der Waals volume.
Dense:   1.013 LogP:   2.496
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.569
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.891
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   34.0
TPSA:   160.07
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   7.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.201 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.217 Fsp3:   0.2
MCE-18:   116.667
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.972 Fluc inhibitor:   0.385
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.311
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.484
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.461 Promiscuous compounds:   0.119

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.333 MDCK Permeability:   -5.033
Pgp-inhibitor:   0.0 Pgp-substrate:   0.96
PAMPA:   0.052
?
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):   0.0
20% Bioavailability (F20%):   0.199 30% Bioavailability (F30%):   0.972
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.965
Plasma Protein Binding (PPB):   91.512% Volume Distribution (VD):   0.166
Fu: 11.567%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.832
OATP1B3 inhibitor:   0.927 BCRP inhibitor:   0.87
BSEP inhibitor:   0.347

ADMET: Metabolism

CYP1A2-inhibitor:   0.636 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.488
CYP2C9-inhibitor:   0.991 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.043 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.001
?
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):  4.701 Half-life (T1/2):  2.69

ADMET: Toxicity

hERG Blockers:  0.454 hERG Blockers (10um):  0.758
Human Hepatotoxicity (H-HT):  0.889 Drug-induced Liver Injury (DILI):  0.118
AMES Toxicity:  0.447 Rat Oral Acute Toxicity:  0.907
Maximum Recommended Daily Dose:  0.999 Skin Sensitization:  0.953
Carcinogencity:  0.098 Eye Corrosion:  0.0
Eye Irritation:  0.528 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.549 Ototoxicity:  0.573
Hematotoxicity:  0.038 Drug-induced Nephrotoxicity:  0.392
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.155
A549 Cytotoxicity:  0.993 Hek293 Cytotoxicity:  0.995
BCF:   1.27
?
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:   4.019
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.811
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.411
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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
NPO5183 Feretia apodanthera Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[23268742]
NPO16874 Campsiandra guayanensis Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[23268742]
NPO5183 Feretia apodanthera Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16874 Campsiandra guayanensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5183 Feretia apodanthera Species Rubiaceae 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
NPT83 Cell line MCF7 Homo sapiens IC50 > 70000.0 nM PMID[24755524]
NPT15 Cell line Jurkat Homo sapiens IC50 > 70000.0 nM PMID[11929285]

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 NPC100482 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
1.0 High Similarity NPC277331
0.6418 Remote Similarity NPC601999
0.6379 Remote Similarity NPC207179
0.6379 Remote Similarity NPC167571
0.6379 Remote Similarity NPC278552
0.6338 Remote Similarity NPC211561
0.6176 Remote Similarity NPC58190
0.6176 Remote Similarity NPC108811
0.6176 Remote Similarity NPC170103
0.6176 Remote Similarity NPC236202
0.6176 Remote Similarity NPC262911
0.6176 Remote Similarity NPC202742
0.6111 Remote Similarity NPC601997
0.6111 Remote Similarity NPC609211
0.6111 Remote Similarity NPC610665
0.6087 Remote Similarity NPC246202
0.6087 Remote Similarity NPC224161
0.6087 Remote Similarity NPC46335
0.6087 Remote Similarity NPC279406
0.6087 Remote Similarity NPC486519
0.5972 Remote Similarity NPC70409
0.5972 Remote Similarity NPC204770
0.5972 Remote Similarity NPC600551
0.5972 Remote Similarity NPC601980
0.5972 Remote Similarity NPC602065
0.5972 Remote Similarity NPC611024
0.5882 Remote Similarity NPC96576
0.5833 Remote Similarity NPC155564
0.5733 Remote Similarity NPC134911
0.5714 Remote Similarity NPC306267
0.5694 Remote Similarity NPC313116
0.5694 Remote Similarity NPC603340
0.5667 Remote Similarity NPC482472
0.56 Remote Similarity NPC600630
0.56 Remote Similarity NPC607896
0.56 Remote Similarity NPC611369
0.5584 Remote Similarity NPC20050
0.5526 Remote Similarity NPC278548
0.5526 Remote Similarity NPC302549
0.5443 Remote Similarity NPC135021
0.5397 Remote Similarity NPC261619
0.5397 Remote Similarity NPC61477
0.5397 Remote Similarity NPC78770
0.5397 Remote Similarity NPC219876
0.5397 Remote Similarity NPC126029
0.5397 Remote Similarity NPC15658
0.5375 Remote Similarity NPC471404
0.5342 Remote Similarity NPC165483
0.5325 Remote Similarity NPC46283
0.5325 Remote Similarity NPC469944
0.5256 Remote Similarity NPC44192
0.5244 Remote Similarity NPC147743
0.5244 Remote Similarity NPC4809
0.5244 Remote Similarity NPC73517
0.5224 Remote Similarity NPC171932
0.5195 Remote Similarity NPC272552
0.5195 Remote Similarity NPC226108
0.5195 Remote Similarity NPC322899
0.5195 Remote Similarity NPC186228
0.5135 Remote Similarity NPC184245
0.5135 Remote Similarity NPC187801
0.5135 Remote Similarity NPC610920
0.5119 Remote Similarity NPC86630
0.5079 Remote Similarity NPC268266
0.5079 Remote Similarity NPC42760
0.5079 Remote Similarity NPC220825
0.5079 Remote Similarity NPC268342
0.5065 Remote Similarity NPC226809
0.5059 Remote Similarity NPC106601
0.5059 Remote Similarity NPC151474

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC100482 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
0.5397 Remote Similarity NPD1612 Clinical (unspecified phase)
0.5397 Remote Similarity NPD1613 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