Natural Product: NPC513066

Natural Product IDNPC513066
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S},3~{S})-6-[(2~{S},3~{R},4~{R})-3,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-yl]-2-(3,4-dihydroxyphenyl)chromane-3,5,7-triol
IUPAC Name (2~{S},3~{S})-6-[(2~{S},3~{R},4~{R})-3,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-yl]-2-(3,4-dihydroxyphenyl)chromane-3,5,7-triol
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 KTNXYFUXAOFFIX-YURATHNJSA-N
Standard InCHI InChI=1S/C30H26O10/c31-15-4-1-13(2-5-15)30-28(38)25(17-7-6-16(32)10-23(17)40-30)26-21(35)12-24-18(27(26)37)11-22(36)29(39-24)14-3-8-19(33)20(34)9-14/h1-10,12,22,25,28-38H,11H2/t22-,25+,28+,29-,30-/m0/s1
SMILES OC1=CC=C([C@@H]2OC3=CC(O)=CC=C3[C@H](C3=C(O)C=C4O[C@@H](C5=CC=C(O)C(O)=C5)[C@@H](O)CC4=C3O)[C@H]2O)C=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   546.15 Volume:   532.362
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Van der Waals volume.
Dense:   1.026 LogP:   1.464
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.742
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.161
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   34.0
TPSA:   180.3
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.177 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.359 Fsp3:   0.2
MCE-18:   120.0
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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:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.902 Fluc inhibitor:   0.377
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.104
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.387
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.541 Promiscuous compounds:   0.158

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.771 MDCK Permeability:   -4.945
Pgp-inhibitor:   0.0 Pgp-substrate:   0.276
PAMPA:   0.515
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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):   0.0
20% Bioavailability (F20%):   0.959 30% Bioavailability (F30%):   0.993
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.92
Plasma Protein Binding (PPB):   93.211% Volume Distribution (VD):   0.04
Fu: 10.272%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.024
BSEP inhibitor:   0.181

ADMET: Metabolism

CYP1A2-inhibitor:   0.998 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.988 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.0
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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):  10.905 Half-life (T1/2):  3.516

ADMET: Toxicity

hERG Blockers:  0.306 hERG Blockers (10um):  0.771
Human Hepatotoxicity (H-HT):  0.943 Drug-induced Liver Injury (DILI):  0.652
AMES Toxicity:  0.071 Rat Oral Acute Toxicity:  0.277
Maximum Recommended Daily Dose:  0.989 Skin Sensitization:  0.999
Carcinogencity:  0.002 Eye Corrosion:  0.0
Eye Irritation:  0.678 Respiratory Toxicity:  0.873
Drug-induced Neurotoxicity:  0.264 Ototoxicity:  0.966
Hematotoxicity:  0.051 Drug-induced Nephrotoxicity:  0.222
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.036
A549 Cytotoxicity:  0.988 Hek293 Cytotoxicity:  0.983
BCF:   1.191
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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:   3.821
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.647
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.206
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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
NPO52760 Acacia luederitzii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO59162 Julbernardia globiflora Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC513066 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
0.9649 High Similarity NPC82917
0.7385 Intermediate Similarity NPC294558
0.7385 Intermediate Similarity NPC18185
0.7385 Intermediate Similarity NPC263940
0.7206 Intermediate Similarity NPC70409
0.7206 Intermediate Similarity NPC204770
0.7206 Intermediate Similarity NPC600551
0.7206 Intermediate Similarity NPC601980
0.7206 Intermediate Similarity NPC602065
0.7206 Intermediate Similarity NPC611024
0.6912 Remote Similarity NPC313116
0.6912 Remote Similarity NPC603340
0.6857 Remote Similarity NPC226809
0.6528 Remote Similarity NPC600630
0.6528 Remote Similarity NPC607896
0.6528 Remote Similarity NPC611369
0.6471 Remote Similarity NPC601999
0.6389 Remote Similarity NPC601997
0.6389 Remote Similarity NPC609211
0.6389 Remote Similarity NPC610665
0.5968 Remote Similarity NPC261619
0.5968 Remote Similarity NPC61477
0.5968 Remote Similarity NPC78770
0.5968 Remote Similarity NPC219876
0.5968 Remote Similarity NPC126029
0.5968 Remote Similarity NPC15658
0.5854 Remote Similarity NPC478340
0.5775 Remote Similarity NPC58190
0.5775 Remote Similarity NPC108811
0.5775 Remote Similarity NPC170103
0.5775 Remote Similarity NPC236202
0.5775 Remote Similarity NPC262911
0.5775 Remote Similarity NPC202742
0.5738 Remote Similarity NPC601844
0.5694 Remote Similarity NPC246202
0.5694 Remote Similarity NPC224161
0.5694 Remote Similarity NPC46335
0.5694 Remote Similarity NPC279406
0.5694 Remote Similarity NPC486519
0.5645 Remote Similarity NPC207179
0.5645 Remote Similarity NPC167571
0.5645 Remote Similarity NPC278552
0.5294 Remote Similarity NPC178054
0.5294 Remote Similarity NPC78074
0.519 Remote Similarity NPC278548
0.5057 Remote Similarity NPC478337
0.5057 Remote Similarity NPC478338
0.5056 Remote Similarity NPC159526

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC513066 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
0.5968 Remote Similarity NPD1612 Clinical (unspecified phase)
0.5968 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