Natural Product: NPC206615

Natural Product IDNPC206615
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3R,5S)-1-(4-Hydroxy-3,5-Dimethoxyphenyl)-7-(4-Hydroxy-3-Methoxyphenyl)Heptane-3,5-Diol
IUPAC Name (3R,5S)-1-(4-hydroxy-3,5-dimethoxyphenyl)-7-(4-hydroxy-3-methoxyphenyl)heptane-3,5-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2426108
PubChem CID 21577371
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids
          • [CHEMONTID:0000356] Curcuminoids

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 UEKHBUNMFZUBFK-DLBZAZTESA-N
Standard InCHI InChI=1S/C22H30O7/c1-27-19-10-14(6-9-18(19)25)4-7-16(23)13-17(24)8-5-15-11-20(28-2)22(26)21(12-15)29-3/h6,9-12,16-17,23-26H,4-5,7-8,13H2,1-3H3/t16-,17+/m0/s1
SMILES COc1cc(CC[C@@H](C[C@@H](CCc2cc(OC)c(c(c2)OC)O)O)O)ccc1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   406.2 Volume:   417.668
?
Van der Waals volume.
Dense:   0.973 LogP:   1.638
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.862
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.646
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   12.0
TPSA:   108.61
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   2.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.454 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.077 Fsp3:   0.455
MCE-18:   30.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.289 Fluc inhibitor:   0.016
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.023
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.235
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.434 Promiscuous compounds:   0.574

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.037 MDCK Permeability:   -4.786
Pgp-inhibitor:   0.452 Pgp-substrate:   0.869
PAMPA:   0.002
?
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):   0.002
20% Bioavailability (F20%):   0.139 30% Bioavailability (F30%):   0.581
50% Bioavailability (F50%):   0.963

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.855
Plasma Protein Binding (PPB):   90.91% Volume Distribution (VD):   -0.26
Fu: 11.645%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.958 BCRP inhibitor:   0.64
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.564
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.017
CYP2C9-inhibitor:   0.993 CYP2C9-substrate:   0.03
CYP2D6-inhibitor:   0.637 CYP2D6-substrate:   0.203
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.991
?
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):  8.662 Half-life (T1/2):  1.745

ADMET: Toxicity

hERG Blockers:  0.621 hERG Blockers (10um):  0.82
Human Hepatotoxicity (H-HT):  0.745 Drug-induced Liver Injury (DILI):  0.203
AMES Toxicity:  0.298 Rat Oral Acute Toxicity:  0.336
Maximum Recommended Daily Dose:  0.929 Skin Sensitization:  0.988
Carcinogencity:  0.249 Eye Corrosion:  0.001
Eye Irritation:  0.162 Respiratory Toxicity:  0.979
Drug-induced Neurotoxicity:  0.657 Ototoxicity:  0.916
Hematotoxicity:  0.882 Drug-induced Nephrotoxicity:  0.982
Genotoxicity:  0.03 RPMI-8226 Immunitoxicity:  0.233
A549 Cytotoxicity:  0.994 Hek293 Cytotoxicity:  0.931
BCF:   0.74
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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:   3.47
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.664
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.036
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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
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota n.a. n.a. n.a. DOI[10.1021/np100392m]
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota rhizomes Kampaengsaen district, Nakhon Pathom province, Thailand n.a. PMID[18554915]
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota aerial parts n.a. n.a. PMID[20196571]
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota rhizomes n.a. n.a. PMID[23910596]
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota n.a. n.a. n.a. PMID[8176399]
NPO22901 Curcuma comosa Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22901 Curcuma comosa Species Zingiberaceae 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
NPT43 Individual protein Tyrosinase Agaricus bisporus Inhibition < 17.0 % PubChem BioAssay data set

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT28438 Unchecked Unchecked n.a. Inhibition = 27.3 % PMID[38516598]
NPT28438 Unchecked Unchecked n.a. IC50 > 250000.0 nM PMID[38516598]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 3000.0 nM PMID[23910596]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 34.4 % PMID[23910596]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 50.3 % PMID[23910596]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 38.4 % PMID[23910596]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 43.2 % PMID[23910596]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 35.4 % PMID[23910596]

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 NPC206615 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 NPC98631
0.9 High Similarity NPC312675
0.9 High Similarity NPC262156
0.9 High Similarity NPC184651
0.9 High Similarity NPC113865
0.8182 Intermediate Similarity NPC473853
0.8182 Intermediate Similarity NPC470212
0.8 Intermediate Similarity NPC324571
0.7955 Intermediate Similarity NPC186843
0.7826 Intermediate Similarity NPC343720
0.7826 Intermediate Similarity NPC54872
0.75 Intermediate Similarity NPC311595
0.75 Intermediate Similarity NPC24474
0.7209 Intermediate Similarity NPC17943
0.6863 Remote Similarity NPC310718
0.6735 Remote Similarity NPC164386
0.66 Remote Similarity NPC137427
0.6279 Remote Similarity NPC8547
0.6136 Remote Similarity NPC193544
0.6111 Remote Similarity NPC215941
0.6111 Remote Similarity NPC123196
0.6111 Remote Similarity NPC311419
0.6 Remote Similarity NPC275724
0.6 Remote Similarity NPC481914
0.6 Remote Similarity NPC244246
0.6 Remote Similarity NPC611247
0.5962 Remote Similarity NPC470213
0.5893 Remote Similarity NPC65935
0.5893 Remote Similarity NPC319282
0.5789 Remote Similarity NPC207613
0.5778 Remote Similarity NPC471693
0.5769 Remote Similarity NPC485986
0.5745 Remote Similarity NPC299406
0.5714 Remote Similarity NPC476968
0.5652 Remote Similarity NPC255675
0.5581 Remote Similarity NPC156840
0.5556 Remote Similarity NPC481913
0.5556 Remote Similarity NPC221049
0.5532 Remote Similarity NPC474320
0.551 Remote Similarity NPC177291
0.551 Remote Similarity NPC127937
0.5333 Remote Similarity NPC49341
0.5333 Remote Similarity NPC257124
0.5294 Remote Similarity NPC51840
0.5294 Remote Similarity NPC82679
0.5283 Remote Similarity NPC212015
0.5283 Remote Similarity NPC159968
0.5263 Remote Similarity NPC20287
0.5263 Remote Similarity NPC20404
0.5227 Remote Similarity NPC91461
0.5227 Remote Similarity NPC7686
0.5227 Remote Similarity NPC40258
0.5217 Remote Similarity NPC140359
0.5217 Remote Similarity NPC474272
0.5208 Remote Similarity NPC85488
0.52 Remote Similarity NPC474214
0.5185 Remote Similarity NPC303680
0.5172 Remote Similarity NPC12022
0.5172 Remote Similarity NPC278308
0.5106 Remote Similarity NPC165133
0.5106 Remote Similarity NPC242885
0.5106 Remote Similarity NPC95614
0.5106 Remote Similarity NPC232316
0.5094 Remote Similarity NPC5018
0.5094 Remote Similarity NPC74817
0.5077 Remote Similarity NPC52277

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC206615 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
0.5333 Remote Similarity NPD228 Phase 0

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