Natural Product: NPC480424

Natural Product IDNPC480424
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PQUZVIIBOIDJBI-FPVHMYDWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 PQUZVIIBOIDJBI-FPVHMYDWSA-N
Standard InCHI InChI=1S/C41H66O14/c1-36(2)12-13-41(35(50)51)20(14-36)19-8-9-25-38(5)15-21(42)32(37(3,4)24(38)10-11-39(25,6)40(19,7)16-26(41)44)55-34-31(49)29(47)28(46)23(54-34)18-53-33-30(48)27(45)22(43)17-52-33/h8,20-34,42-49H,9-18H2,1-7H3,(H,50,51)/t20-,21-,22-,23+,24-,25+,26+,27-,28+,29-,30+,31+,32-,33-,34-,38-,39+,40+,41+/m0/s1
SMILES CC1(C)CC[C@]2([C@@H](C1)C1=CC[C@@H]3[C@@]4(C)C[C@@H]([C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)C[C@H]2O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@H](CO2)O)O)O)O1)O)O)O)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   782.45 Volume:   775.587
?
Van der Waals volume.
Dense:   1.009 LogP:   1.975
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.542
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.8
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   39.0
TPSA:   236.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   9.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.963 Fsp3:   0.927
MCE-18:   154.532
?
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:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.715 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.178 Promiscuous compounds:   0.103

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.008 MDCK Permeability:   -5.179
Pgp-inhibitor:   0.002 Pgp-substrate:   0.032
PAMPA:   1.0
?
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):   0.068
20% Bioavailability (F20%):   0.292 30% Bioavailability (F30%):   0.837
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.701
Plasma Protein Binding (PPB):   80.149% Volume Distribution (VD):   -0.452
Fu: 12.873%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.001
BSEP inhibitor:   0.005

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.006
HLM stability:   0.001
?
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):  0.448 Half-life (T1/2):  2.142

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.69 Drug-induced Liver Injury (DILI):  0.861
AMES Toxicity:  0.888 Rat Oral Acute Toxicity:  0.024
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  1.0
Carcinogencity:  0.465 Eye Corrosion:  0.0
Eye Irritation:  0.014 Respiratory Toxicity:  0.133
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.99
Hematotoxicity:  0.813 Drug-induced Nephrotoxicity:  0.99
Genotoxicity:  0.472 RPMI-8226 Immunitoxicity:  0.111
A549 Cytotoxicity:  0.921 Hek293 Cytotoxicity:  0.38
BCF:   0.862
?
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:   3.45
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.998
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.116
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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
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[30931559]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28688 Aster tataricus Species Asteraceae 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 > 50000.0 nM PMID[30931559]

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 NPC480424 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
0.8764 High Similarity NPC488516
0.7938 Intermediate Similarity NPC488515
0.7444 Intermediate Similarity NPC242611
0.7255 Intermediate Similarity NPC75318
0.7143 Intermediate Similarity NPC288205
0.7143 Intermediate Similarity NPC51465
0.697 Remote Similarity NPC80843
0.6774 Remote Similarity NPC31839
0.6768 Remote Similarity NPC480420
0.6762 Remote Similarity NPC291903
0.6667 Remote Similarity NPC37134
0.6602 Remote Similarity NPC104400
0.6602 Remote Similarity NPC10320
0.633 Remote Similarity NPC475486
0.6239 Remote Similarity NPC488209
0.6216 Remote Similarity NPC475119
0.6204 Remote Similarity NPC145899
0.6161 Remote Similarity NPC473824
0.6078 Remote Similarity NPC136877
0.6042 Remote Similarity NPC283849
0.6019 Remote Similarity NPC73829
0.5981 Remote Similarity NPC473383
0.5978 Remote Similarity NPC601365
0.5905 Remote Similarity NPC488561
0.5882 Remote Similarity NPC127853
0.5876 Remote Similarity NPC28198
0.5876 Remote Similarity NPC476123
0.581 Remote Similarity NPC127056
0.5739 Remote Similarity NPC200788
0.5726 Remote Similarity NPC166422
0.5714 Remote Similarity NPC56713
0.5714 Remote Similarity NPC59804
0.5678 Remote Similarity NPC480423
0.5676 Remote Similarity NPC484832
0.5667 Remote Similarity NPC228784
0.5667 Remote Similarity NPC324341
0.5667 Remote Similarity NPC601810
0.5648 Remote Similarity NPC469945
0.5641 Remote Similarity NPC323341
0.5641 Remote Similarity NPC243680
0.5593 Remote Similarity NPC219180
0.5593 Remote Similarity NPC480419
0.5588 Remote Similarity NPC475633
0.5586 Remote Similarity NPC257468
0.5566 Remote Similarity NPC174679
0.5566 Remote Similarity NPC279554
0.5565 Remote Similarity NPC280941
0.5565 Remote Similarity NPC235772
0.5556 Remote Similarity NPC606107
0.5545 Remote Similarity NPC100383
0.5536 Remote Similarity NPC79718
0.5495 Remote Similarity NPC139044
0.5455 Remote Similarity NPC204407
0.5446 Remote Similarity NPC481082
0.5446 Remote Similarity NPC164419
0.5429 Remote Similarity NPC164194
0.5429 Remote Similarity NPC76999
0.5398 Remote Similarity NPC119794
0.5391 Remote Similarity NPC488564
0.5366 Remote Similarity NPC480418
0.5357 Remote Similarity NPC471383
0.5321 Remote Similarity NPC6377
0.5321 Remote Similarity NPC208381
0.5319 Remote Similarity NPC222047
0.531 Remote Similarity NPC488517
0.5304 Remote Similarity NPC324875
0.5304 Remote Similarity NPC292677
0.5289 Remote Similarity NPC475140
0.5288 Remote Similarity NPC284807
0.528 Remote Similarity NPC471385
0.528 Remote Similarity NPC161717
0.5278 Remote Similarity NPC25605
0.5269 Remote Similarity NPC201657
0.5268 Remote Similarity NPC488526
0.5217 Remote Similarity NPC276093
0.5185 Remote Similarity NPC12288
0.5182 Remote Similarity NPC472949
0.5172 Remote Similarity NPC323359
0.514 Remote Similarity NPC270667
0.5053 Remote Similarity NPC471588
0.5045 Remote Similarity NPC295371
0.5044 Remote Similarity NPC114304
0.5038 Remote Similarity NPC480417

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480424 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