Natural Product: NPC488516

Natural Product IDNPC488516
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YOFVOAYCIARLQE-VBHJJZTMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44584167
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 YOFVOAYCIARLQE-VBHJJZTMSA-N
Standard InCHI InChI=1S/C41H66O13/c1-36(2)14-15-41(35(49)50)21(16-36)20-8-9-25-38(5)12-11-27(37(3,4)24(38)10-13-39(25,6)40(20,7)17-26(41)43)54-34-32(48)30(46)29(45)23(53-34)19-52-33-31(47)28(44)22(42)18-51-33/h8,21-34,42-48H,9-19H2,1-7H3,(H,49,50)/t21-,22+,23-,24+,25-,26-,27+,28+,29-,30+,31-,32-,33+,34+,38+,39-,40-,41-/m1/s1
SMILES CC1(C)CC[C@]2([C@H](C1)C1=CC[C@@H]3[C@@]4(C)CC[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)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   766.45 Volume:   766.797
?
Van der Waals volume.
Dense:   1.0 LogP:   2.435
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.891
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.618
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   39.0
TPSA:   215.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.144 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.817 Fsp3:   0.927
MCE-18:   151.772
?
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:   0.818 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.016
?
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:   0.096

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.952 MDCK Permeability:   -5.174
Pgp-inhibitor:   0.0 Pgp-substrate:   0.045
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):   0.03
20% Bioavailability (F20%):   0.081 30% Bioavailability (F30%):   0.636
50% Bioavailability (F50%):   0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.764
Plasma Protein Binding (PPB):   76.112% Volume Distribution (VD):   -0.526
Fu: 17.574%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.002
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 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:   0.934
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.108
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):  0.368 Half-life (T1/2):  1.952

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.01
Human Hepatotoxicity (H-HT):  0.762 Drug-induced Liver Injury (DILI):  0.854
AMES Toxicity:  0.897 Rat Oral Acute Toxicity:  0.026
Maximum Recommended Daily Dose:  0.028 Skin Sensitization:  0.999
Carcinogencity:  0.476 Eye Corrosion:  0.0
Eye Irritation:  0.02 Respiratory Toxicity:  0.101
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.98
Hematotoxicity:  0.553 Drug-induced Nephrotoxicity:  0.978
Genotoxicity:  0.534 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.797 Hek293 Cytotoxicity:  0.366
BCF:   1.262
?
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:   3.754
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.391
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.522
?
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
NPO27443 Gymnocladus chinensis Species Fabaceae Eukaryota Fruits n.a. n.a. PMID[7494144]
NPO7631 Gleditsia japonica Species Fabaceae Eukaryota Fruits n.a. n.a. PMID[7494144]
NPO7631 Gleditsia japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7631 Gleditsia japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27443 Gymnocladus chinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7631 Gleditsia japonica Species Fabaceae 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
NPT759 Cell line H9 Homo sapiens IC50 = 50000.0 nM PMID[7494144]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 EC50 = 13000.0 nM PMID[7494144]

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 NPC488516 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
0.8817 High Similarity NPC488515
0.8764 High Similarity NPC480424
0.8588 High Similarity NPC242611
0.8061 Intermediate Similarity NPC75318
0.7841 Intermediate Similarity NPC31839
0.7745 Intermediate Similarity NPC288205
0.7745 Intermediate Similarity NPC51465
0.7604 Intermediate Similarity NPC80843
0.7426 Intermediate Similarity NPC37134
0.7374 Intermediate Similarity NPC104400
0.7374 Intermediate Similarity NPC10320
0.7353 Intermediate Similarity NPC291903
0.7033 Intermediate Similarity NPC283849
0.6923 Remote Similarity NPC145899
0.6887 Remote Similarity NPC475486
0.6759 Remote Similarity NPC475119
0.6731 Remote Similarity NPC73829
0.6697 Remote Similarity NPC473824
0.65 Remote Similarity NPC136877
0.6489 Remote Similarity NPC606107
0.6471 Remote Similarity NPC488561
0.6373 Remote Similarity NPC127056
0.6355 Remote Similarity NPC484832
0.6316 Remote Similarity NPC28198
0.6316 Remote Similarity NPC476123
0.6275 Remote Similarity NPC56713
0.6264 Remote Similarity NPC601365
0.625 Remote Similarity NPC200788
0.6228 Remote Similarity NPC166422
0.6204 Remote Similarity NPC79718
0.619 Remote Similarity NPC469945
0.6154 Remote Similarity NPC6377
0.6154 Remote Similarity NPC208381
0.614 Remote Similarity NPC243680
0.6139 Remote Similarity NPC76999
0.6122 Remote Similarity NPC100383
0.6111 Remote Similarity NPC257468
0.6087 Remote Similarity NPC219180
0.6071 Remote Similarity NPC280941
0.6071 Remote Similarity NPC235772
0.6055 Remote Similarity NPC119794
0.598 Remote Similarity NPC164194
0.5963 Remote Similarity NPC481082
0.5963 Remote Similarity NPC164419
0.5926 Remote Similarity NPC488526
0.5905 Remote Similarity NPC480420
0.5893 Remote Similarity NPC488564
0.5876 Remote Similarity NPC204407
0.581 Remote Similarity NPC25605
0.581 Remote Similarity NPC59804
0.5804 Remote Similarity NPC324875
0.5804 Remote Similarity NPC292677
0.578 Remote Similarity NPC180550
0.578 Remote Similarity NPC35405
0.5778 Remote Similarity NPC228784
0.5778 Remote Similarity NPC324341
0.5778 Remote Similarity NPC601810
0.5763 Remote Similarity NPC475140
0.5738 Remote Similarity NPC161717
0.5726 Remote Similarity NPC323341
0.5701 Remote Similarity NPC472949
0.57 Remote Similarity NPC286347
0.5686 Remote Similarity NPC284807
0.5673 Remote Similarity NPC1046
0.566 Remote Similarity NPC174679
0.566 Remote Similarity NPC279554
0.5648 Remote Similarity NPC22956
0.5636 Remote Similarity NPC232237
0.5619 Remote Similarity NPC48499
0.5614 Remote Similarity NPC488209
0.5607 Remote Similarity NPC114441
0.5607 Remote Similarity NPC109079
0.5586 Remote Similarity NPC105800
0.5586 Remote Similarity NPC139044
0.5545 Remote Similarity NPC114304
0.5524 Remote Similarity NPC270667
0.5517 Remote Similarity NPC62725
0.5478 Remote Similarity NPC295823
0.5478 Remote Similarity NPC174720
0.5478 Remote Similarity NPC475467
0.5462 Remote Similarity NPC471384
0.5455 Remote Similarity NPC54636
0.5446 Remote Similarity NPC471383
0.5429 Remote Similarity NPC480938
0.5426 Remote Similarity NPC222047
0.5417 Remote Similarity NPC251263
0.5413 Remote Similarity NPC295371
0.5391 Remote Similarity NPC323359
0.5391 Remote Similarity NPC481079
0.5385 Remote Similarity NPC120667
0.5385 Remote Similarity NPC278272
0.536 Remote Similarity NPC471385
0.5357 Remote Similarity NPC473383
0.5323 Remote Similarity NPC13998
0.5321 Remote Similarity NPC173583
0.531 Remote Similarity NPC63159
0.5304 Remote Similarity NPC276093
0.5294 Remote Similarity NPC177246
0.5278 Remote Similarity NPC12288
0.5254 Remote Similarity NPC480939
0.5254 Remote Similarity NPC11242
0.5234 Remote Similarity NPC127853
0.5213 Remote Similarity NPC201657
0.5161 Remote Similarity NPC481080
0.5156 Remote Similarity NPC309223
0.5143 Remote Similarity NPC128925
0.514 Remote Similarity NPC475472
0.5135 Remote Similarity NPC470512
0.5133 Remote Similarity NPC117714
0.5133 Remote Similarity NPC30289
0.5128 Remote Similarity NPC301449
0.5128 Remote Similarity NPC601290
0.5122 Remote Similarity NPC283417
0.5122 Remote Similarity NPC200049
0.5094 Remote Similarity NPC475633
0.5088 Remote Similarity NPC164389
0.5083 Remote Similarity NPC185466
0.5081 Remote Similarity NPC488560
0.5047 Remote Similarity NPC191410
0.5042 Remote Similarity NPC104137
0.5042 Remote Similarity NPC207738
0.5042 Remote Similarity NPC26626
0.5042 Remote Similarity NPC187290
0.5041 Remote Similarity NPC123199
0.504 Remote Similarity NPC4749

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488516 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