Natural Product: NPC477897

Natural Product IDNPC477897
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 5,7-dihydroxy-2-(4-hydroxyphenyl)-8-[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]chromen-4-one
IUPAC Name 5,7-dihydroxy-2-(4-hydroxyphenyl)-8-[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 118707634
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001737] Flavonoid C-glycosides
            • [CHEMONTID:0003535] Flavonoid 8-C-glycosides

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 YCCJEBDPVUMZGE-NTCOEUGSSA-N
Standard InCHI InChI=1S/C20H18O9/c21-9-3-1-8(2-4-9)14-6-12(24)15-10(22)5-11(23)16(19(15)29-14)20-18(27)17(26)13(25)7-28-20/h1-6,13,17-18,20-23,25-27H,7H2/t13-,17-,18+,20-/m0/s1
SMILES C1[C@@H]([C@@H]([C@H]([C@@H](O1)C2=C(C=C(C3=C2OC(=CC3=O)C4=CC=C(C=C4)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   402.1 Volume:   378.271
?
Van der Waals volume.
Dense:   1.063 LogP:   1.126
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.203
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -3.833
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   24.0
TPSA:   160.82
?
Topological Polar Surface Area.
 H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.363 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.872 Fsp3:   0.25
MCE-18:   85.0
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.589 Fluc inhibitor:   0.217
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.86
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.887
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.088 Promiscuous compounds:   0.588

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.059 MDCK Permeability:   -5.029
Pgp-inhibitor:   0.0 Pgp-substrate:   0.641
PAMPA:   0.98
?
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):   0.038
20% Bioavailability (F20%):   0.517 30% Bioavailability (F30%):   0.98
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.666
Plasma Protein Binding (PPB):   87.903% Volume Distribution (VD):   0.004
Fu: 10.887%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.98
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.243
BSEP inhibitor:   0.021

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.026 CYP2C9-substrate:   0.006
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.61
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.97
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.99
HLM stability:   0.493
?
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):  3.446 Half-life (T1/2):  3.714

ADMET: Toxicity

hERG Blockers:  0.027 hERG Blockers (10um):  0.273
Human Hepatotoxicity (H-HT):  0.623 Drug-induced Liver Injury (DILI):  0.887
AMES Toxicity:  0.806 Rat Oral Acute Toxicity:  0.177
Maximum Recommended Daily Dose:  0.429 Skin Sensitization:  0.98
Carcinogencity:  0.467 Eye Corrosion:  0.001
Eye Irritation:  0.977 Respiratory Toxicity:  0.553
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  0.328
Hematotoxicity:  0.082 Drug-induced Nephrotoxicity:  0.145
Genotoxicity:  0.976 RPMI-8226 Immunitoxicity:  0.137
A549 Cytotoxicity:  0.628 Hek293 Cytotoxicity:  0.744
BCF:   0.908
?
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:   3.503
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.451
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   4.022
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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
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. PMID[12880314]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. whole plant n.a. PMID[1294695]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. PMID[15104516]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota leaves and twigs Taiwan n.a. PMID[1659612]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota aerial parts Nanning, Guangxi Zhuang Autonomous Region, Peoples Republic of China 2012-OCT PMID[24955889]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15289 Scoparia dulcis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15289 Scoparia dulcis Species Plantaginaceae 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
NPT1618 Individual protein Peroxisome proliferator-activated receptor gamma Mus musculus EC50 > 100000 nM PMID[24955889]

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 NPC477897 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
0.7246 Intermediate Similarity NPC209846
0.6623 Remote Similarity NPC326592
0.641 Remote Similarity NPC109594
0.6216 Remote Similarity NPC117418
0.6164 Remote Similarity NPC56232
0.6164 Remote Similarity NPC150123
0.6164 Remote Similarity NPC608009
0.6049 Remote Similarity NPC190393
0.5513 Remote Similarity NPC112701
0.5493 Remote Similarity NPC609354
0.5429 Remote Similarity NPC220062
0.5412 Remote Similarity NPC44947

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477897 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