Natural Product: NPC513267

Natural Product IDNPC513267
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Zanthoxyl flavone
IUPAC Name 2-(3,4-dihydroxyphenyl)-3,5-dihydroxy-7,8-dimethoxy-chromen-4-one
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 SYFVLDHARWXXFR-UHFFFAOYSA-N
Standard InCHI InChI=1S/C17H14O8/c1-23-11-6-10(20)12-13(21)14(22)15(25-17(12)16(11)24-2)7-3-4-8(18)9(19)5-7/h3-6,18-20,22H,1-2H3
SMILES COC1=CC(O)=C2C(=O)C(O)=C(C3=CC=C(O)C(O)=C3)OC2=C1OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   346.07 Volume:   326.149
?
Van der Waals volume.
Dense:   1.061 LogP:   1.646
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.806
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.833
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   18.0
TPSA:   129.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.532 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.588 Fsp3:   0.118
MCE-18:   20.0
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.71 Fluc inhibitor:   0.336
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.926
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.462
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.391 Promiscuous compounds:   0.844

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.335 MDCK Permeability:   -4.831
Pgp-inhibitor:   0.06 Pgp-substrate:   0.014
PAMPA:   0.282
?
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):   0.182
20% Bioavailability (F20%):   0.664 30% Bioavailability (F30%):   0.971
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.873
Plasma Protein Binding (PPB):   97.614% Volume Distribution (VD):   -0.678
Fu: 2.238%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.976
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.967
BSEP inhibitor:   0.416

ADMET: Metabolism

CYP1A2-inhibitor:   0.049 CYP1A2-substrate:   0.006
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.098
CYP2C9-inhibitor:   0.119 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.841 CYP2D6-substrate:   0.914
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.018
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.342
HLM stability:   0.811
?
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):  10.611 Half-life (T1/2):  1.769

ADMET: Toxicity

hERG Blockers:  0.068 hERG Blockers (10um):  0.556
Human Hepatotoxicity (H-HT):  0.395 Drug-induced Liver Injury (DILI):  0.821
AMES Toxicity:  0.523 Rat Oral Acute Toxicity:  0.461
Maximum Recommended Daily Dose:  0.505 Skin Sensitization:  0.88
Carcinogencity:  0.577 Eye Corrosion:  0.252
Eye Irritation:  0.984 Respiratory Toxicity:  0.657
Drug-induced Neurotoxicity:  0.034 Ototoxicity:  0.319
Hematotoxicity:  0.131 Drug-induced Nephrotoxicity:  0.052
Genotoxicity:  0.704 RPMI-8226 Immunitoxicity:  0.041
A549 Cytotoxicity:  0.564 Hek293 Cytotoxicity:  0.314
BCF:   1.068
?
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:   3.621
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.443
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.977
?
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
NPO48469 Zanthoxylum alatum Species Rutaceae 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 NPC513267 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
0.8519 High Similarity NPC259411
0.7885 Intermediate Similarity NPC301123
0.7736 Intermediate Similarity NPC86485
0.7241 Intermediate Similarity NPC480464
0.7091 Intermediate Similarity NPC607913
0.6909 Remote Similarity NPC87125
0.6786 Remote Similarity NPC32420
0.625 Remote Similarity NPC606048
0.614 Remote Similarity NPC98661
0.6034 Remote Similarity NPC605144
0.5763 Remote Similarity NPC143799
0.5763 Remote Similarity NPC270465
0.5763 Remote Similarity NPC605755
0.5738 Remote Similarity NPC610401
0.5667 Remote Similarity NPC480465
0.5645 Remote Similarity NPC152166
0.5614 Remote Similarity NPC179271
0.5593 Remote Similarity NPC189960
0.5593 Remote Similarity NPC306821
0.5574 Remote Similarity NPC178854
0.5536 Remote Similarity NPC27208
0.55 Remote Similarity NPC201451
0.55 Remote Similarity NPC32557
0.55 Remote Similarity NPC188871
0.55 Remote Similarity NPC608038
0.5484 Remote Similarity NPC189179
0.5484 Remote Similarity NPC224137
0.5484 Remote Similarity NPC474520
0.5484 Remote Similarity NPC603112
0.5439 Remote Similarity NPC20791
0.541 Remote Similarity NPC108406
0.5397 Remote Similarity NPC252933
0.5333 Remote Similarity NPC152042
0.5325 Remote Similarity NPC295082
0.5323 Remote Similarity NPC200740
0.5323 Remote Similarity NPC166753
0.5263 Remote Similarity NPC77858
0.5161 Remote Similarity NPC22472
0.5161 Remote Similarity NPC201136
0.5152 Remote Similarity NPC603082

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC513267 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
0.5439 Remote Similarity NPD1512 Phase 3

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