Natural Product: NPC477076

Natural Product IDNPC477076
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2S,3S,4S,5R,6R)-6-[[(3S,4aR,6aR,6bS,7R,8S,8aR,9R,10R,12aS,14aR,14bR)-7,8,10-trihydroxy-8a-(hydroxymethyl)-4,4,6a,6b,11,11,14b-heptamethyl-9-[(Z)-2-methylbut-2-enoyl]oxy-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl]oxy]-3,4-dihydroxy-5-[(2R,3S,4S,5S,6R)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxane-2-carboxylic acid
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(3S,4aR,6aR,6bS,7R,8S,8aR,9R,10R,12aS,14aR,14bR)-7,8,10-trihydroxy-8a-(hydroxymethyl)-4,4,6a,6b,11,11,14b-heptamethyl-9-[(Z)-2-methylbut-2-enoyl]oxy-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl]oxy]-3,4-dihydroxy-5-[(2R,3S,4S,5S,6R)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxane-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44583928
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 XXVNQOOHCDAFKO-YTINUVENSA-N
Standard InCHI InChI=1S/C47H74O17/c1-11-20(2)39(59)64-37-36(56)42(4,5)18-23-22-12-13-25-44(8)16-15-26(43(6,7)24(44)14-17-45(25,9)46(22,10)34(54)35(55)47(23,37)19-48)61-41-33(30(52)29(51)32(62-41)38(57)58)63-40-31(53)28(50)27(49)21(3)60-40/h11-12,21,23-37,40-41,48-56H,13-19H2,1-10H3,(H,57,58)/b20-11-/t21-,23+,24+,25-,26+,27-,28+,29+,30+,31+,32+,33-,34+,35-,36+,37+,40-,41-,44+,45-,46+,47+/m1/s1
SMILES C/C=C(/C)\C(=O)O[C@H]1[C@@H](C(C[C@@H]2[C@]1([C@@H]([C@@H]([C@@]3(C2=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H](C5(C)C)O[C@H]6[C@@H]([C@H]([C@@H]([C@H](O6)C(=O)O)O)O)O[C@@H]7[C@H]([C@H]([C@@H]([C@H](O7)C)O)O)O)C)C)C)O)O)CO)(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   910.49 Volume:   900.461
?
Van der Waals volume.
Dense:   1.011 LogP:   2.682
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.919
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.538
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   41.0
TPSA:   282.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   10.0 Rings:   7.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.071 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.432 Fsp3:   0.872
MCE-18:   163.591
?
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:   0.763 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
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:   0.2 Promiscuous compounds:   0.24

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.957 MDCK Permeability:   -5.269
Pgp-inhibitor:   0.0 Pgp-substrate:   0.968
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):   0.886
20% Bioavailability (F20%):   0.801 30% Bioavailability (F30%):   0.921
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.958
Plasma Protein Binding (PPB):   70.814% Volume Distribution (VD):   -0.444
Fu: 18.272%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.765 BCRP inhibitor:   0.001
BSEP inhibitor:   0.0

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:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.045
HLM stability:   0.039
?
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):  -0.02 Half-life (T1/2):  4.165

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.021
Human Hepatotoxicity (H-HT):  0.273 Drug-induced Liver Injury (DILI):  0.732
AMES Toxicity:  0.365 Rat Oral Acute Toxicity:  0.033
Maximum Recommended Daily Dose:  0.084 Skin Sensitization:  0.973
Carcinogencity:  0.055 Eye Corrosion:  0.0
Eye Irritation:  0.013 Respiratory Toxicity:  0.05
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.993
Hematotoxicity:  0.271 Drug-induced Nephrotoxicity:  0.986
Genotoxicity:  0.62 RPMI-8226 Immunitoxicity:  0.125
A549 Cytotoxicity:  0.04 Hek293 Cytotoxicity:  0.06
BCF:   0.462
?
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:   3.363
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.043
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.954
?
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
NPO12661 Eryngium campestre Species Apiaceae Eukaryota Roots n.a. n.a. PMID[16872157]
NPO12661 Eryngium campestre Species Apiaceae Eukaryota roots Balkesir-Edremit, Turkey 2003-AUG PMID[16872157]
NPO12661 Eryngium campestre Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[31311207]
NPO12661 Eryngium campestre Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12661 Eryngium campestre Species Apiaceae 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
NPT139 Cell line HT-29 Homo sapiens IC50 = 40 ug/ml PMID[16872157]
NPT2 Others Unspecified n.a. IC50 = 40 ug/ml PMID[16872157]

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 NPC477076 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
0.86 High Similarity NPC477079
0.8515 High Similarity NPC477077
0.7885 Intermediate Similarity NPC477075
0.781 Intermediate Similarity NPC477078
0.7193 Intermediate Similarity NPC277212
0.7193 Intermediate Similarity NPC30279
0.7043 Intermediate Similarity NPC46823
0.6752 Remote Similarity NPC473918
0.6695 Remote Similarity NPC71391
0.6555 Remote Similarity NPC329923
0.6555 Remote Similarity NPC475281
0.6555 Remote Similarity NPC192765
0.65 Remote Similarity NPC178264
0.6491 Remote Similarity NPC329976
0.6435 Remote Similarity NPC605294
0.629 Remote Similarity NPC329657
0.626 Remote Similarity NPC225791
0.621 Remote Similarity NPC484059
0.621 Remote Similarity NPC484060
0.6098 Remote Similarity NPC470518
0.6098 Remote Similarity NPC484061
0.6098 Remote Similarity NPC484062
0.6087 Remote Similarity NPC470914
0.6053 Remote Similarity NPC470913
0.6 Remote Similarity NPC478600
0.6 Remote Similarity NPC478599
0.5827 Remote Similarity NPC484833
0.5804 Remote Similarity NPC603026
0.5794 Remote Similarity NPC265841
0.5758 Remote Similarity NPC88349
0.5739 Remote Similarity NPC251768
0.5726 Remote Similarity NPC64715
0.5714 Remote Similarity NPC478598
0.568 Remote Similarity NPC47995
0.5664 Remote Similarity NPC472949
0.5656 Remote Similarity NPC609119
0.5641 Remote Similarity NPC131469
0.5635 Remote Similarity NPC82380
0.5635 Remote Similarity NPC244296
0.5625 Remote Similarity NPC271610
0.56 Remote Similarity NPC269484
0.56 Remote Similarity NPC97918
0.5593 Remote Similarity NPC95437
0.5583 Remote Similarity NPC187618
0.5574 Remote Similarity NPC25998
0.5546 Remote Similarity NPC114692
0.55 Remote Similarity NPC218954
0.5492 Remote Similarity NPC470915
0.5476 Remote Similarity NPC264566
0.5476 Remote Similarity NPC602995
0.5455 Remote Similarity NPC120116
0.5417 Remote Similarity NPC236657
0.5414 Remote Similarity NPC484063
0.5414 Remote Similarity NPC484064
0.541 Remote Similarity NPC609281
0.5403 Remote Similarity NPC313110
0.5385 Remote Similarity NPC258617
0.5379 Remote Similarity NPC11577
0.5379 Remote Similarity NPC141600
0.5372 Remote Similarity NPC301449
0.5372 Remote Similarity NPC601290
0.5366 Remote Similarity NPC477197
0.5366 Remote Similarity NPC606553
0.5351 Remote Similarity NPC309780
0.5323 Remote Similarity NPC472267
0.5323 Remote Similarity NPC115656
0.5323 Remote Similarity NPC478152
0.5323 Remote Similarity NPC478151
0.5308 Remote Similarity NPC476774
0.5294 Remote Similarity NPC482722
0.5294 Remote Similarity NPC471963
0.5271 Remote Similarity NPC329828
0.5267 Remote Similarity NPC262796
0.5267 Remote Similarity NPC45346
0.5246 Remote Similarity NPC482735
0.5227 Remote Similarity NPC476779
0.52 Remote Similarity NPC107536
0.52 Remote Similarity NPC280029
0.52 Remote Similarity NPC9470
0.5197 Remote Similarity NPC470911
0.5191 Remote Similarity NPC488308
0.5191 Remote Similarity NPC476780
0.5188 Remote Similarity NPC475377
0.5188 Remote Similarity NPC476074
0.5169 Remote Similarity NPC478066
0.5164 Remote Similarity NPC482740
0.5156 Remote Similarity NPC478150
0.5152 Remote Similarity NPC312650
0.5111 Remote Similarity NPC476775
0.5086 Remote Similarity NPC25605
0.5086 Remote Similarity NPC56713
0.5081 Remote Similarity NPC477193
0.5077 Remote Similarity NPC252289
0.5077 Remote Similarity NPC305793
0.5075 Remote Similarity NPC476777
0.5043 Remote Similarity NPC482748
0.5042 Remote Similarity NPC192791
0.5041 Remote Similarity NPC118440
0.5039 Remote Similarity NPC482736
0.5039 Remote Similarity NPC252657
0.5039 Remote Similarity NPC88311
0.5039 Remote Similarity NPC482738
0.5039 Remote Similarity NPC610461
0.5038 Remote Similarity NPC478597

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477076 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