Natural Product: NPC471580

Natural Product IDNPC471580
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Keto,16A-Hydroxy,24-Noroleanolic Acid 28-O-Alpha-L-Arabinopyranosyl-(1->4)-Alpha-L-Arabinopyranosyl-(1->3)-Beta-D-Xylopyranosyl-(1->4)-A-L-Rhamnopyranosyl-(1->2)-Beta-D-Fucopyranosyl Ester
IUPAC Name [(2S,3R,4S,5R,6R)-3-[(2S,3R,4S,5R,6S)-5-[(2S,3R,4S,5R)-4-[(2S,3R,4R,5S)-3,4-dihydroxy-5-[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]oxyoxan-2-yl]oxy-3,5-dihydroxyoxan-2-yl]oxy-3,4-dihydroxy-6-methyloxan-2-yl]oxy-4,5-dihydroxy-6-methyloxan-2-yl] (4aR,5R,6aS,6bR,8aS,9S,12aS,14bS)-5-hydroxy-2,2,6a,6b,9,12a-hexamethyl-10-oxo-1,3,4,5,6,6a,7,8,8a,9,11,12,13,14b-tetradecahydropicene-4a-carboxylate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL261873
PubChem CID 44451458
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 JQDDJPUBPHMFHX-PJJISFTGSA-N
Standard InCHI InChI=1S/C56H88O24/c1-22-25-11-14-54(7)32(53(25,6)13-12-28(22)57)10-9-26-27-17-52(4,5)15-16-56(27,33(60)18-55(26,54)8)51(70)80-50-45(37(64)34(61)23(2)74-50)79-49-41(68)38(65)43(24(3)75-49)77-48-42(69)44(30(59)20-72-48)78-47-40(67)36(63)31(21-73-47)76-46-39(66)35(62)29(58)19-71-46/h9,22-25,27,29-50,58-69H,10-21H2,1-8H3/t22-,23+,24-,25-,27-,29-,30+,31-,32?,33+,34-,35-,36-,37-,38-,39+,40+,41+,42+,43-,44-,45+,46-,47-,48-,49-,50-,53-,54+,55+,56+/m0/s1
SMILES O[C@H]1[C@@H](O[C@H]([C@@H]([C@H]1O)O[C@@H]1OC[C@H]([C@@H]([C@H]1O)O[C@@H]1OC[C@@H]([C@@H]([C@H]1O)O)O[C@@H]1OC[C@@H]([C@@H]([C@H]1O)O)O)O)C)O[C@H]1[C@@H](O[C@@H]([C@@H]([C@@H]1O)O)C)OC(=O)[C@@]12CCC(C[C@H]2C2=CCC3[C@@]([C@@]2(C[C@H]1O)C)(C)CC[C@@H]1[C@]3(C)CCC(=O)[C@H]1C)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1144.57 Volume:   1094.623
?
Van der Waals volume.
Dense:   1.046 LogP:   1.233
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.836
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.123
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   58.0
TPSA:   369.2
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Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   12.0 Rings:   10.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.088 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.172 Fsp3:   0.929
MCE-18:   211.111
?
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:   0.702 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.224 Promiscuous compounds:   0.151

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.419 MDCK Permeability:   -5.078
Pgp-inhibitor:   0.0 Pgp-substrate:   0.941
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):   0.47
20% Bioavailability (F20%):   0.766 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.066
Plasma Protein Binding (PPB):   68.56% Volume Distribution (VD):   -0.338
Fu: 20.985%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
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:   0.0 CYP3A4-substrate:   0.796
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.094
HLM stability:   0.622
?
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):  -0.301 Half-life (T1/2):  3.204

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.008
Human Hepatotoxicity (H-HT):  0.853 Drug-induced Liver Injury (DILI):  0.963
AMES Toxicity:  0.973 Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.004 Skin Sensitization:  1.0
Carcinogencity:  0.066 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.999
Hematotoxicity:  0.777 Drug-induced Nephrotoxicity:  0.996
Genotoxicity:  0.813 RPMI-8226 Immunitoxicity:  0.548
A549 Cytotoxicity:  0.996 Hek293 Cytotoxicity:  0.889
BCF:   0.786
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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:   3.417
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.069
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.932
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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
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[16880670]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[17409564]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota roots n.a. n.a. PMID[18194870]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae 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
NPT2 Others Unspecified n.a. IC50 = 65500.0 nM PMID[26100440]

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 NPC471580 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
0.8261 Intermediate Similarity NPC471577
0.812 Intermediate Similarity NPC473386
0.75 Intermediate Similarity NPC309223
0.7266 Intermediate Similarity NPC102505
0.7266 Intermediate Similarity NPC488514
0.7177 Intermediate Similarity NPC13998
0.6614 Remote Similarity NPC85154
0.6277 Remote Similarity NPC8524
0.6232 Remote Similarity NPC33012
0.6222 Remote Similarity NPC224381
0.6194 Remote Similarity NPC144644
0.6194 Remote Similarity NPC170407
0.6187 Remote Similarity NPC480421
0.6074 Remote Similarity NPC37860
0.6061 Remote Similarity NPC237191
0.6053 Remote Similarity NPC472270
0.6053 Remote Similarity NPC112492
0.6014 Remote Similarity NPC68767
0.5954 Remote Similarity NPC480423
0.5933 Remote Similarity NPC485563
0.5912 Remote Similarity NPC70809
0.5906 Remote Similarity NPC104137
0.5906 Remote Similarity NPC26626
0.5899 Remote Similarity NPC293031
0.5896 Remote Similarity NPC473452
0.5859 Remote Similarity NPC815
0.5852 Remote Similarity NPC470876
0.5839 Remote Similarity NPC33068
0.5778 Remote Similarity NPC286457
0.5735 Remote Similarity NPC475514
0.5643 Remote Similarity NPC220160
0.5606 Remote Similarity NPC123522
0.5574 Remote Similarity NPC480420
0.5548 Remote Similarity NPC23020
0.5532 Remote Similarity NPC142151
0.5524 Remote Similarity NPC153673
0.5503 Remote Similarity NPC297950
0.5467 Remote Similarity NPC472268
0.5441 Remote Similarity NPC488560
0.5423 Remote Similarity NPC267694
0.5417 Remote Similarity NPC110385
0.5417 Remote Similarity NPC51099
0.5411 Remote Similarity NPC275225
0.5354 Remote Similarity NPC488526
0.5301 Remote Similarity NPC488513
0.5274 Remote Similarity NPC480422
0.5227 Remote Similarity NPC69811
0.52 Remote Similarity NPC489208
0.5194 Remote Similarity NPC105800
0.5182 Remote Similarity NPC257211
0.5116 Remote Similarity NPC164389
0.5116 Remote Similarity NPC305267
0.5105 Remote Similarity NPC202828
0.5105 Remote Similarity NPC119592
0.5074 Remote Similarity NPC300419
0.5072 Remote Similarity NPC480419
0.5065 Remote Similarity NPC329893
0.5036 Remote Similarity NPC475160
0.5036 Remote Similarity NPC473714
0.5034 Remote Similarity NPC478825
0.5031 Remote Similarity NPC472269

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471580 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