Natural Product: NPC580405

Natural Product IDNPC580405
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
96238-95-8
IUPAC Name 3,5,7,8-tetrahydroxy-2-(4-methoxyphenyl)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 JENUDBBUZMVAMW-UHFFFAOYSA-N
Standard InCHI InChI=1S/C16H12O7/c1-22-8-4-2-7(3-5-8)15-14(21)13(20)11-9(17)6-10(18)12(19)16(11)23-15/h2-6,17-19,21H,1H3
SMILES COC1=CC=C(C2=C(O)C(=O)C3=C(O)C=C(O)C(O)=C3O2)C=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   316.06 Volume:   300.063
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Van der Waals volume.
Dense:   1.053 LogP:   1.998
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.099
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.048
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   18.0
TPSA:   120.36
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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:   0.423 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.442 Fsp3:   0.062
MCE-18:   19.0
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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:   0.836 Fluc inhibitor:   0.517
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.813
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.437
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.557 Promiscuous compounds:   0.933

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.553 MDCK Permeability:   -4.872
Pgp-inhibitor:   0.283 Pgp-substrate:   0.023
PAMPA:   0.508
?
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):   0.324
20% Bioavailability (F20%):   0.268 30% Bioavailability (F30%):   0.913
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.926
Plasma Protein Binding (PPB):   98.472% Volume Distribution (VD):   -0.717
Fu: 1.111%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.969
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.952
BSEP inhibitor:   0.431

ADMET: Metabolism

CYP1A2-inhibitor:   0.262 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.519
CYP2C9-inhibitor:   0.763 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.923 CYP2D6-substrate:   0.144
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.991
HLM stability:   0.949
?
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):  8.118 Half-life (T1/2):  1.448

ADMET: Toxicity

hERG Blockers:  0.061 hERG Blockers (10um):  0.419
Human Hepatotoxicity (H-HT):  0.409 Drug-induced Liver Injury (DILI):  0.936
AMES Toxicity:  0.697 Rat Oral Acute Toxicity:  0.438
Maximum Recommended Daily Dose:  0.565 Skin Sensitization:  0.612
Carcinogencity:  0.632 Eye Corrosion:  0.102
Eye Irritation:  0.986 Respiratory Toxicity:  0.735
Drug-induced Neurotoxicity:  0.014 Ototoxicity:  0.181
Hematotoxicity:  0.133 Drug-induced Nephrotoxicity:  0.066
Genotoxicity:  0.829 RPMI-8226 Immunitoxicity:  0.051
A549 Cytotoxicity:  0.461 Hek293 Cytotoxicity:  0.326
BCF:   1.11
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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:   3.972
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.764
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.386
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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
NPO21049 Pentagramma triangularis Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17642 Chondropetalum paniculatum Species Restionaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17642 Chondropetalum paniculatum Species Restionaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21049 Pentagramma triangularis Species Pteridaceae 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

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 NPC580405 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
0.7255 Intermediate Similarity NPC225731
0.7059 Intermediate Similarity NPC27208
0.6909 Remote Similarity NPC201451
0.6909 Remote Similarity NPC241838
0.623 Remote Similarity NPC607815
0.6207 Remote Similarity NPC86485
0.614 Remote Similarity NPC44079
0.6032 Remote Similarity NPC273538
0.5932 Remote Similarity NPC32420
0.5932 Remote Similarity NPC49824
0.5932 Remote Similarity NPC480465
0.5833 Remote Similarity NPC54394
0.5821 Remote Similarity NPC605541
0.5593 Remote Similarity NPC287979
0.5574 Remote Similarity NPC200740
0.5574 Remote Similarity NPC159103
0.55 Remote Similarity NPC59951
0.55 Remote Similarity NPC87125
0.55 Remote Similarity NPC276905
0.55 Remote Similarity NPC143799
0.55 Remote Similarity NPC281207
0.55 Remote Similarity NPC605146
0.55 Remote Similarity NPC605755
0.5333 Remote Similarity NPC152042
0.5323 Remote Similarity NPC166753
0.5246 Remote Similarity NPC50403
0.5246 Remote Similarity NPC231772
0.5156 Remote Similarity NPC133953
0.5085 Remote Similarity NPC179271
0.5082 Remote Similarity NPC219330
0.5082 Remote Similarity NPC98661
0.5082 Remote Similarity NPC262094
0.5082 Remote Similarity NPC600177

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC580405 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
0.6032 Remote Similarity NPD4378 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