Natural Product: NPC162869

Natural Product IDNPC162869
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SGWLCEXRWADMOA-ZDUSSCGKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3397955
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002593] 8-O-methylated flavonoids

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 SGWLCEXRWADMOA-ZDUSSCGKSA-N
Standard InCHI InChI=1S/C19H20O7/c1-22-11-7-5-10(6-8-11)13-9-12(20)14-15(21)17(23-2)19(25-4)18(24-3)16(14)26-13/h5-8,13,21H,9H2,1-4H3/t13-/m0/s1
SMILES COc1ccc(cc1)[C@@H]1CC(=O)c2c(O1)c(OC)c(c(c2O)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   360.12 Volume:   354.587
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Van der Waals volume.
Dense:   1.016 LogP:   3.01
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.114
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.515
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   18.0
TPSA:   83.45
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.877 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.934 Fsp3:   0.316
MCE-18:   60.04
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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:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.203 Fluc inhibitor:   0.758
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.336
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.335
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.295 Promiscuous compounds:   0.062

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.934 MDCK Permeability:   -4.747
Pgp-inhibitor:   0.789 Pgp-substrate:   0.019
PAMPA:   0.063
?
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):   0.006
20% Bioavailability (F20%):   0.009 30% Bioavailability (F30%):   0.04
50% Bioavailability (F50%):   0.551

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.172 MRP1:   0.983
Plasma Protein Binding (PPB):   96.002% Volume Distribution (VD):   -0.39
Fu: 3.86%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.672
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.681
BSEP inhibitor:   0.935

ADMET: Metabolism

CYP1A2-inhibitor:   0.998 CYP1A2-substrate:   0.453
CYP2C19-inhibitor:   0.544 CYP2C19-substrate:   0.896
CYP2C9-inhibitor:   0.036 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.021 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.333
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   0.962
HLM stability:   0.987
?
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):  5.317 Half-life (T1/2):  0.923

ADMET: Toxicity

hERG Blockers:  0.202 hERG Blockers (10um):  0.516
Human Hepatotoxicity (H-HT):  0.758 Drug-induced Liver Injury (DILI):  0.869
AMES Toxicity:  0.595 Rat Oral Acute Toxicity:  0.591
Maximum Recommended Daily Dose:  0.609 Skin Sensitization:  0.774
Carcinogencity:  0.594 Eye Corrosion:  0.055
Eye Irritation:  0.906 Respiratory Toxicity:  0.913
Drug-induced Neurotoxicity:  0.897 Ototoxicity:  0.412
Hematotoxicity:  0.542 Drug-induced Nephrotoxicity:  0.813
Genotoxicity:  0.575 RPMI-8226 Immunitoxicity:  0.251
A549 Cytotoxicity:  0.65 Hek293 Cytotoxicity:  0.468
BCF:   1.376
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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:   3.77
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.65
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.499
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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
NPO20278 Scutellaria indica Species Lamiaceae Eukaryota whole plant n.a. n.a. PMID[25637363]
NPO20278 Scutellaria indica Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20278 Scutellaria indica Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20278 Scutellaria indica Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20278 Scutellaria indica Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20278 Scutellaria indica Species Lamiaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 27800.0 nM PMID[19835393]

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 NPC162869 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
0.6275 Remote Similarity NPC6407
0.6275 Remote Similarity NPC545184
0.6038 Remote Similarity NPC274784
0.6038 Remote Similarity NPC20709
0.5849 Remote Similarity NPC20354
0.5849 Remote Similarity NPC37392
0.5818 Remote Similarity NPC469758
0.5818 Remote Similarity NPC601395
0.5769 Remote Similarity NPC188243
0.5769 Remote Similarity NPC110228
0.5741 Remote Similarity NPC296917
0.5741 Remote Similarity NPC170907
0.566 Remote Similarity NPC482487
0.5636 Remote Similarity NPC475267
0.5536 Remote Similarity NPC48208
0.5455 Remote Similarity NPC156057
0.5294 Remote Similarity NPC99854
0.5283 Remote Similarity NPC135616
0.5273 Remote Similarity NPC150648
0.5246 Remote Similarity NPC95936
0.5179 Remote Similarity NPC255106
0.5179 Remote Similarity NPC235165
0.5179 Remote Similarity NPC329203
0.5179 Remote Similarity NPC222342
0.5088 Remote Similarity NPC606248

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC162869 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