Natural Product: NPC181014

Natural Product IDNPC181014
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KUBUHOMBTJDYAN-FUQZIJMVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101265354
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003540] Flavonoid-8-O-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 KUBUHOMBTJDYAN-FUQZIJMVSA-N
Standard InCHI InChI=1S/C21H22O11/c22-7-14-16(27)17(28)18(29)21(31-14)32-19-12(26)5-10(24)15-11(25)6-13(30-20(15)19)8-1-3-9(23)4-2-8/h1-5,13-14,16-18,21-24,26-29H,6-7H2/t13-,14+,16+,17-,18+,21-/m0/s1
SMILES c1cc(ccc1[C@@H]1CC(=O)c2c(cc(c(c2O1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   450.12 Volume:   415.784
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Van der Waals volume.
Dense:   1.083 LogP:   0.71
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.2
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.038
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   186.37
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.324 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.183 Fsp3:   0.381
MCE-18:   90.552
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.606 Fluc inhibitor:   0.397
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.115
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.289
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.226 Promiscuous compounds:   0.322

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.663 MDCK Permeability:   -4.982
Pgp-inhibitor:   0.01 Pgp-substrate:   0.115
PAMPA:   0.977
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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):   0.03
20% Bioavailability (F20%):   0.004 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.279
Plasma Protein Binding (PPB):   88.151% Volume Distribution (VD):   -0.124
Fu: 10.754%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.986
BSEP inhibitor:   0.013

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.327
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.949
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.295
HLM stability:   0.427
?
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):  2.742 Half-life (T1/2):  3.506

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.112
Human Hepatotoxicity (H-HT):  0.817 Drug-induced Liver Injury (DILI):  0.586
AMES Toxicity:  0.898 Rat Oral Acute Toxicity:  0.056
Maximum Recommended Daily Dose:  0.064 Skin Sensitization:  0.996
Carcinogencity:  0.173 Eye Corrosion:  0.0
Eye Irritation:  0.673 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.078 Ototoxicity:  0.923
Hematotoxicity:  0.169 Drug-induced Nephrotoxicity:  0.826
Genotoxicity:  0.951 RPMI-8226 Immunitoxicity:  0.157
A549 Cytotoxicity:  0.438 Hek293 Cytotoxicity:  0.484
BCF:   0.416
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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:   2.949
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.378
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.64
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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
NPO40820 Corispermum marschallii Species n.a. n.a. Aerial Parts n.a. n.a. PMID[30109803]

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
NPT2740 Cell line Neutrophils n.a. IC50 = 13200.0 nM PMID[30109803]
NPT2740 Cell line Neutrophils n.a. IC50 = 11400.0 nM PMID[30109803]
NPT2740 Cell line Neutrophils n.a. IC50 = 23700.0 nM PMID[30109803]

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 NPC181014 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
0.6986 Remote Similarity NPC39351
0.6533 Remote Similarity NPC26195
0.6486 Remote Similarity NPC169248
0.6486 Remote Similarity NPC72649
0.6316 Remote Similarity NPC471457
0.6234 Remote Similarity NPC206378
0.6092 Remote Similarity NPC168789
0.5974 Remote Similarity NPC97052
0.5974 Remote Similarity NPC170475
0.5974 Remote Similarity NPC46067
0.5949 Remote Similarity NPC29830
0.5926 Remote Similarity NPC236934
0.5897 Remote Similarity NPC219163
0.5714 Remote Similarity NPC186595
0.561 Remote Similarity NPC472381
0.561 Remote Similarity NPC472383
0.557 Remote Similarity NPC45400
0.5375 Remote Similarity NPC259182
0.5301 Remote Similarity NPC5778
0.5238 Remote Similarity NPC477502
0.5204 Remote Similarity NPC321916
0.5185 Remote Similarity NPC88484
0.5176 Remote Similarity NPC479540
0.5132 Remote Similarity NPC199335
0.5132 Remote Similarity NPC477240
0.5128 Remote Similarity NPC121001
0.5111 Remote Similarity NPC142860
0.5111 Remote Similarity NPC152538
0.5111 Remote Similarity NPC246469
0.5111 Remote Similarity NPC89088
0.5065 Remote Similarity NPC190217
0.506 Remote Similarity NPC225445

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC181014 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