Natural Product: NPC109887

Natural Product IDNPC109887
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Purginoside Iv
IUPAC Name n.a.
Synonyms Purginoside IV
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2336639
PubChem CID 71719497
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

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 ITHWOIDZLGRETC-RBIFCKFXSA-N
Standard InCHI InChI=1S/C62H108O25/c1-8-11-14-15-17-21-27-32-42(66)83-57-56(87-59-48(72)45(69)44(68)39(33-63)80-59)53(85-58-49(73)47(71)51(35(5)76-58)81-40(64)30-24-13-10-3)37(7)78-62(57)84-52-36(6)77-61-55(50(52)74)82-41(65)31-26-22-19-16-18-20-25-29-38(28-23-12-9-2)79-60-54(86-61)46(70)43(67)34(4)75-60/h34-39,43-63,67-74H,8-33H2,1-7H3/t34-,35+,36+,37+,38+,39-,43+,44-,45+,46+,47+,48-,49-,50-,51+,52+,53+,54-,55-,56-,57-,58+,59+,60+,61+,62+/m1/s1
SMILES CCCCCCCCCC(=O)O[C@H]1[C@@H](O[C@H]([C@@H]([C@H]1O[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)O)O)O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)OC(=O)CCCCC)C)O[C@H]1[C@H](C)O[C@@H]2[C@@H]([C@@H]1O)OC(=O)CCCCCCCCC[C@@H](O[C@H]1[C@H](O2)[C@@H](O)[C@H]([C@H](O1)C)O)CCCCC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1252.72 Volume:   1241.415
?
Van der Waals volume.
Dense:   1.009 LogP:   4.509
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.5
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.88
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   27.0 Rigid Bonds:   49.0
TPSA:   353.27
?
Topological Polar Surface Area.
H-Bond Acceptor:   25.0
H-Bond Donor:   9.0 Rings:   6.0
Heavy Atoms:   25.0

MedChem Properties

QED Drug-Likeness Score:   0.035 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.272 Fsp3:   0.952
MCE-18:   121.19
?
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:   0.997 Fluc inhibitor:   0.333
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.551 Promiscuous compounds:   0.105

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.564 MDCK Permeability:   -5.091
Pgp-inhibitor:   0.0 Pgp-substrate:   0.967
PAMPA:   0.985
?
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):   0.125
20% Bioavailability (F20%):   0.006 30% Bioavailability (F30%):   0.818
50% Bioavailability (F50%):   0.976

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.984
Plasma Protein Binding (PPB):   93.14% Volume Distribution (VD):   -0.06
Fu: 4.874%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.986
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.146

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:   0.041
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.896
?
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):  0.769 Half-life (T1/2):  3.023

ADMET: Toxicity

hERG Blockers:  0.026 hERG Blockers (10um):  0.094
Human Hepatotoxicity (H-HT):  0.425 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.577 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.0 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.626 Drug-induced Nephrotoxicity:  0.971
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.548
A549 Cytotoxicity:  0.999 Hek293 Cytotoxicity:  0.331
BCF:   0.672
?
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:   4.43
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.068
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.802
?
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
NPO19106 Ipomoea purga Species Convolvulaceae Eukaryota n.a. aerial part n.a. PMID[21446661]
NPO19106 Ipomoea purga Species Convolvulaceae Eukaryota n.a. n.a. n.a. PMID[23273047]
NPO19106 Ipomoea purga Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19106 Ipomoea purga Species Convolvulaceae 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
NPT668 Individual protein P-glycoprotein 1 Homo sapiens FC = 3.3 n.a. DOI[10.1007/s00044-013-0839-2]
NPT668 Individual protein P-glycoprotein 1 Homo sapiens FC = 3.0 n.a. PMID[16854066]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT83 Cell line MCF7 Homo sapiens IC50 > 25.0 ug.mL-1 PMID[10654414]
NPT83 Cell line MCF7 Homo sapiens FC = 2.5 n.a. PMID[19296616]

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 NPC109887 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
0.875 High Similarity NPC224953
0.8333 Intermediate Similarity NPC477326
0.8219 Intermediate Similarity NPC478729
0.8101 Intermediate Similarity NPC600446
0.8101 Intermediate Similarity NPC605013
0.8072 Intermediate Similarity NPC184915
0.8026 Intermediate Similarity NPC477330
0.7927 Intermediate Similarity NPC119583
0.7922 Intermediate Similarity NPC477329
0.7882 Intermediate Similarity NPC44782
0.7831 Intermediate Similarity NPC483170
0.7792 Intermediate Similarity NPC477328
0.7738 Intermediate Similarity NPC115013
0.7733 Intermediate Similarity NPC606819
0.7647 Intermediate Similarity NPC183888
0.7625 Intermediate Similarity NPC604005
0.7625 Intermediate Similarity NPC605014
0.7558 Intermediate Similarity NPC472200
0.7532 Intermediate Similarity NPC477350
0.7531 Intermediate Similarity NPC89843
0.75 Intermediate Similarity NPC113745
0.75 Intermediate Similarity NPC477320
0.75 Intermediate Similarity NPC477323
0.75 Intermediate Similarity NPC477325
0.75 Intermediate Similarity NPC609436
0.7468 Intermediate Similarity NPC281563
0.7442 Intermediate Similarity NPC126685
0.7439 Intermediate Similarity NPC477344
0.7326 Intermediate Similarity NPC169345
0.7317 Intermediate Similarity NPC478734
0.7317 Intermediate Similarity NPC477331
0.7317 Intermediate Similarity NPC477332
0.7312 Intermediate Similarity NPC28069
0.7312 Intermediate Similarity NPC77651
0.7191 Intermediate Similarity NPC478728
0.7143 Intermediate Similarity NPC478733
0.7126 Intermediate Similarity NPC477317
0.7126 Intermediate Similarity NPC477318
0.7111 Intermediate Similarity NPC478727
0.7059 Intermediate Similarity NPC478722
0.7059 Intermediate Similarity NPC479061
0.7059 Intermediate Similarity NPC267592
0.7059 Intermediate Similarity NPC478725
0.7045 Intermediate Similarity NPC259294
0.7 Intermediate Similarity NPC146380
0.6977 Remote Similarity NPC297768
0.6977 Remote Similarity NPC478723
0.6977 Remote Similarity NPC478724
0.6977 Remote Similarity NPC479060
0.6907 Remote Similarity NPC290276
0.6897 Remote Similarity NPC307400
0.6897 Remote Similarity NPC472204
0.6897 Remote Similarity NPC27289
0.6867 Remote Similarity NPC22742
0.6867 Remote Similarity NPC477349
0.6867 Remote Similarity NPC477346
0.6818 Remote Similarity NPC238264
0.6818 Remote Similarity NPC478726
0.6818 Remote Similarity NPC477345
0.6782 Remote Similarity NPC477319
0.6768 Remote Similarity NPC471025
0.6705 Remote Similarity NPC143421
0.6667 Remote Similarity NPC146992
0.6667 Remote Similarity NPC85759
0.6593 Remote Similarity NPC123204
0.6574 Remote Similarity NPC147032
0.6556 Remote Similarity NPC290012
0.6517 Remote Similarity NPC294748
0.6505 Remote Similarity NPC471026
0.6413 Remote Similarity NPC163409
0.6404 Remote Similarity NPC472205
0.6381 Remote Similarity NPC471024
0.6374 Remote Similarity NPC238056
0.625 Remote Similarity NPC475241
0.6238 Remote Similarity NPC10883
0.6196 Remote Similarity NPC478731
0.6154 Remote Similarity NPC478730
0.6087 Remote Similarity NPC476087
0.6087 Remote Similarity NPC475667
0.6067 Remote Similarity NPC479059
0.6022 Remote Similarity NPC478732
0.5957 Remote Similarity NPC475270
0.5957 Remote Similarity NPC475327
0.5946 Remote Similarity NPC206823
0.5934 Remote Similarity NPC60849
0.5922 Remote Similarity NPC611287
0.5895 Remote Similarity NPC475525
0.5895 Remote Similarity NPC475540
0.5833 Remote Similarity NPC476066
0.5833 Remote Similarity NPC269318
0.5814 Remote Similarity NPC475425
0.5794 Remote Similarity NPC600940
0.5773 Remote Similarity NPC475164
0.5769 Remote Similarity NPC10121
0.5769 Remote Similarity NPC198918
0.5714 Remote Similarity NPC473605
0.5714 Remote Similarity NPC475375
0.5714 Remote Similarity NPC600672
0.5714 Remote Similarity NPC610996
0.5699 Remote Similarity NPC173328
0.5638 Remote Similarity NPC186992
0.5596 Remote Similarity NPC472352
0.5556 Remote Similarity NPC87153
0.5543 Remote Similarity NPC158302
0.5532 Remote Similarity NPC479058
0.5521 Remote Similarity NPC162925
0.551 Remote Similarity NPC477347
0.5505 Remote Similarity NPC610997
0.55 Remote Similarity NPC477348
0.5463 Remote Similarity NPC600721
0.5463 Remote Similarity NPC605872
0.5437 Remote Similarity NPC124878
0.5437 Remote Similarity NPC231888
0.5385 Remote Similarity NPC35338
0.5385 Remote Similarity NPC204214
0.5385 Remote Similarity NPC92283
0.5306 Remote Similarity NPC479057
0.5238 Remote Similarity NPC63404
0.5208 Remote Similarity NPC44682
0.5053 Remote Similarity NPC216883
0.5052 Remote Similarity NPC476781

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC109887 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