Natural Product: NPC472598

Natural Product IDNPC472598
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QOCMJNYAMYAFJX-BPARTEKVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3580671
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003646] 6-prenylated flavans
            • [CHEMONTID:0003507] 6-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 QOCMJNYAMYAFJX-BPARTEKVSA-N
Standard InCHI InChI=1S/C26H30O7/c1-14(2)6-5-7-15(3)19(28)11-17-20(29)12-24-25(26(17)31)21(30)13-22(33-24)16-8-9-18(27)23(10-16)32-4/h6,8-10,12,19,22,27-29,31H,3,5,7,11,13H2,1-2,4H3/t19?,22-/m0/s1
SMILES COc1cc(ccc1O)[C@@H]1CC(=O)c2c(O1)cc(c(c2O)CC(C(=C)CCC=C(C)C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   454.2 Volume:   470.386
?
Van der Waals volume.
Dense:   0.966 LogP:   4.6
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.443
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.233
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   20.0
TPSA:   116.45
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.426 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.877 Fsp3:   0.346
MCE-18:   68.514
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.562 Fluc inhibitor:   0.389
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.364
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.624
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.101 Promiscuous compounds:   0.022

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.967 MDCK Permeability:   -4.698
Pgp-inhibitor:   0.977 Pgp-substrate:   0.003
PAMPA:   0.723
?
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):   0.022
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.77
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.979
Plasma Protein Binding (PPB):   97.275% Volume Distribution (VD):   0.042
Fu: 2.288%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.961
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.977 CYP1A2-substrate:   0.654
CYP2C19-inhibitor:   0.913 CYP2C19-substrate:   0.015
CYP2C9-inhibitor:   0.581 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.05 CYP2D6-substrate:   0.982
CYP3A4-inhibitor:   0.026 CYP3A4-substrate:   0.026
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.853
HLM stability:   0.989
?
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):  6.964 Half-life (T1/2):  1.363

ADMET: Toxicity

hERG Blockers:  0.041 hERG Blockers (10um):  0.455
Human Hepatotoxicity (H-HT):  0.527 Drug-induced Liver Injury (DILI):  0.132
AMES Toxicity:  0.419 Rat Oral Acute Toxicity:  0.206
Maximum Recommended Daily Dose:  0.468 Skin Sensitization:  0.841
Carcinogencity:  0.438 Eye Corrosion:  0.002
Eye Irritation:  0.962 Respiratory Toxicity:  0.7
Drug-induced Neurotoxicity:  0.378 Ototoxicity:  0.611
Hematotoxicity:  0.156 Drug-induced Nephrotoxicity:  0.607
Genotoxicity:  0.543 RPMI-8226 Immunitoxicity:  0.134
A549 Cytotoxicity:  0.304 Hek293 Cytotoxicity:  0.294
BCF:   1.754
?
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:   4.415
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.973
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.284
?
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
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[17625893]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[18293924]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. PMID[20192247]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. fruit n.a. PMID[21319773]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[22445674]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[23623680]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[25735399]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[28322565]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[28968119]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22079 Paulownia tomentosa Species Paulowniaceae 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
NPT1970 Cell line THP-1 Homo sapiens IC50 < 6500.0 nM PMID[22316168]

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 NPC472598 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
0.8 Intermediate Similarity NPC472629
0.7703 Intermediate Similarity NPC195796
0.7324 Intermediate Similarity NPC35038
0.6962 Remote Similarity NPC474055
0.6707 Remote Similarity NPC472635
0.6667 Remote Similarity NPC472634
0.65 Remote Similarity NPC27337
0.642 Remote Similarity NPC472632
0.6375 Remote Similarity NPC45849
0.6364 Remote Similarity NPC213896
0.6329 Remote Similarity NPC278778
0.6282 Remote Similarity NPC470328
0.6282 Remote Similarity NPC209614
0.6125 Remote Similarity NPC226025
0.6076 Remote Similarity NPC164272
0.6076 Remote Similarity NPC470327
0.6026 Remote Similarity NPC228504
0.6024 Remote Similarity NPC287328
0.5976 Remote Similarity NPC472626
0.5949 Remote Similarity NPC64915
0.5904 Remote Similarity NPC472624
0.5814 Remote Similarity NPC321399
0.5802 Remote Similarity NPC185276
0.5783 Remote Similarity NPC488550
0.5732 Remote Similarity NPC321779
0.5625 Remote Similarity NPC290133
0.5616 Remote Similarity NPC236637
0.5542 Remote Similarity NPC298692
0.5479 Remote Similarity NPC474836
0.5476 Remote Similarity NPC488554
0.5476 Remote Similarity NPC472630
0.5465 Remote Similarity NPC488555
0.5465 Remote Similarity NPC484418
0.5455 Remote Similarity NPC125855
0.5443 Remote Similarity NPC223787
0.5422 Remote Similarity NPC261063
0.5412 Remote Similarity NPC472631
0.5412 Remote Similarity NPC488557
0.5357 Remote Similarity NPC488558
0.5294 Remote Similarity NPC472628
0.5263 Remote Similarity NPC1089
0.5244 Remote Similarity NPC479214
0.5238 Remote Similarity NPC472627
0.5227 Remote Similarity NPC471499
0.5119 Remote Similarity NPC488556
0.5068 Remote Similarity NPC486095
0.5063 Remote Similarity NPC486094
0.5059 Remote Similarity NPC22192
0.5057 Remote Similarity NPC282009
0.5057 Remote Similarity NPC210459

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472598 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