Natural Product: NPC473078

Natural Product IDNPC473078
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IXWIHCRZHCXORX-QHCPKHFHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3609152
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003642] 8-prenylated flavans
            • [CHEMONTID:0003508] 8-prenylated flavanones

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 IXWIHCRZHCXORX-QHCPKHFHSA-N
Standard InCHI InChI=1S/C27H26O6/c1-15(2)3-12-20-25(31)21(13-16-4-8-18(28)9-5-16)26(32)24-22(30)14-23(33-27(20)24)17-6-10-19(29)11-7-17/h3-11,23,28-29,31-32H,12-14H2,1-2H3/t23-/m0/s1
SMILES CC(=CCC1=C(C(=C(C2=C1OC(CC2=O)C3=CC=C(C=C3)O)O)CC4=CC=C(C=C4)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.17 Volume:   465.063
?
Van der Waals volume.
Dense:   0.959 LogP:   4.111
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.415
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.664
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   25.0
TPSA:   107.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.396 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.316 Fsp3:   0.222
MCE-18:   78.03
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.994 Fluc inhibitor:   0.322
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.568
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.712
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.3 Promiscuous compounds:   0.019

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.328 MDCK Permeability:   -4.827
Pgp-inhibitor:   0.782 Pgp-substrate:   0.001
PAMPA:   0.873
?
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):   0.027
20% Bioavailability (F20%):   0.909 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.992
Plasma Protein Binding (PPB):   95.731% Volume Distribution (VD):   0.309
Fu: 5.229%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.585
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.966
CYP2C19-inhibitor:   0.473 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.038 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.875 CYP2D6-substrate:   0.563
CYP3A4-inhibitor:   0.003 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  4.937 Half-life (T1/2):  1.426

ADMET: Toxicity

hERG Blockers:  0.117 hERG Blockers (10um):  0.719
Human Hepatotoxicity (H-HT):  0.698 Drug-induced Liver Injury (DILI):  0.183
AMES Toxicity:  0.625 Rat Oral Acute Toxicity:  0.693
Maximum Recommended Daily Dose:  0.773 Skin Sensitization:  0.969
Carcinogencity:  0.462 Eye Corrosion:  0.0
Eye Irritation:  0.927 Respiratory Toxicity:  0.848
Drug-induced Neurotoxicity:  0.365 Ototoxicity:  0.399
Hematotoxicity:  0.095 Drug-induced Nephrotoxicity:  0.429
Genotoxicity:  0.961 RPMI-8226 Immunitoxicity:  0.081
A549 Cytotoxicity:  0.715 Hek293 Cytotoxicity:  0.943
BCF:   1.502
?
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:   5.169
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.077
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.798
?
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
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[15787460]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. root n.a. PMID[15787460]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[16203143]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[16919944]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota root bark n.a. n.a. PMID[17608532]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[17950599]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota fruits n.a. n.a. PMID[19113968]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota Roots n.a. n.a. PMID[19191562]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. root n.a. PMID[19280148]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[19285413]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. PMID[19660948]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. root n.a. PMID[21319773]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota Roots n.a. n.a. PMID[25322455]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota root barks purchased from the local herbal market, Chungbuk, Korea 2012-JUL PMID[26227773]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30804 Cudrania tricuspidata Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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
NPT1120 Individual protein Pancreatic triacylglycerol lipase Sus scrofa IC50 = 54800.0 nM DOI[10.1007/s00044-011-9628-y]
NPT1120 Individual protein Pancreatic triacylglycerol lipase Sus scrofa Inhibition = 70.1 % PMID[18044832]

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 NPC473078 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
0.7541 Intermediate Similarity NPC265040
0.6825 Remote Similarity NPC107572
0.6825 Remote Similarity NPC32739
0.6522 Remote Similarity NPC246948
0.6462 Remote Similarity NPC75049
0.6364 Remote Similarity NPC610133
0.6212 Remote Similarity NPC69674
0.6176 Remote Similarity NPC608140
0.6154 Remote Similarity NPC164980
0.6029 Remote Similarity NPC285555
0.597 Remote Similarity NPC187282
0.5882 Remote Similarity NPC220998
0.5833 Remote Similarity NPC166934
0.5833 Remote Similarity NPC142405
0.5797 Remote Similarity NPC76338
0.5797 Remote Similarity NPC250242
0.5735 Remote Similarity NPC250214
0.5672 Remote Similarity NPC76372
0.5672 Remote Similarity NPC37496
0.5652 Remote Similarity NPC66515
0.5588 Remote Similarity NPC324436
0.5588 Remote Similarity NPC78
0.5584 Remote Similarity NPC312273
0.5507 Remote Similarity NPC148757
0.5429 Remote Similarity NPC197252
0.5395 Remote Similarity NPC214774
0.5325 Remote Similarity NPC228779
0.5325 Remote Similarity NPC483811
0.5312 Remote Similarity NPC167624
0.5312 Remote Similarity NPC166482
0.527 Remote Similarity NPC36275
0.5217 Remote Similarity NPC169591
0.5217 Remote Similarity NPC480991
0.5217 Remote Similarity NPC298223
0.5217 Remote Similarity NPC604412
0.5211 Remote Similarity NPC310130
0.5205 Remote Similarity NPC161506
0.519 Remote Similarity NPC119209
0.5152 Remote Similarity NPC485881
0.5143 Remote Similarity NPC236766
0.5143 Remote Similarity NPC150408
0.5143 Remote Similarity NPC39329
0.5143 Remote Similarity NPC306829
0.5143 Remote Similarity NPC51032
0.5125 Remote Similarity NPC483810
0.5082 Remote Similarity NPC479738
0.507 Remote Similarity NPC149026
0.5068 Remote Similarity NPC291878
0.5063 Remote Similarity NPC192686
0.5063 Remote Similarity NPC284820
0.506 Remote Similarity NPC301256

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473078 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
NPD

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