Natural Product: NPC473797

Natural Product IDNPC473797
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(3S,8S,9R,10R,12R,13S,14R,17R)-17-Acetyl-8,14,17-Trihydroxy-3-[(2R,4S,5R,6R)-5-[(2S,4S,5R,6R)-5-[(2S,3R,4R,5S,6R)-3-Hydroxy-4-Methoxy-5-[(2S,4R,5R,6R)-4-Methoxy-6-Methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-[[(2R,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(Hydroxymethyl)Oxan-2-Yl]Oxymethyl]Oxan-2-Yl]Oxyoxan-2-Yl]Oxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-10,13-Dimethyl-1,2,3,4,7,9,11,12,15,16-Decahydrocyclopenta[A]Phenanthren-12-Yl] (E)-3-Phenylprop-2-Enoate
IUPAC Name [(3S,8S,9R,10R,12R,13S,14R,17R)-17-acetyl-8,14,17-trihydroxy-3-[(2R,4S,5R,6R)-5-[(2S,4S,5R,6R)-5-[(2S,3R,4R,5S,6R)-3-hydroxy-4-methoxy-5-[(2S,4R,5R,6R)-4-methoxy-6-methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-[[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxymethyl]oxan-2-yl]oxyoxan-2-yl]oxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-10,13-dimethyl-1,2,3,4,7,9,11,12,15,16-decahydrocyclopenta[a]phenanthren-12-yl] (E)-3-phenylprop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL451990
PubChem CID 44575239
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

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 VBSFGTFDWOZVGT-QDKRDDSOSA-N
Standard InCHI InChI=1S/C70H106O30/c1-32-58(40(84-8)26-48(89-32)93-39-20-21-66(6)38(25-39)19-22-69(82)45(66)29-46(96-47(73)18-17-37-15-13-12-14-16-37)67(7)68(81,36(5)72)23-24-70(67,69)83)97-49-27-41(85-9)60(34(3)90-49)100-65-57(80)62(87-11)61(35(4)92-65)98-50-28-42(86-10)59(33(2)91-50)99-64-56(79)54(77)52(75)44(95-64)31-88-63-55(78)53(76)51(74)43(30-71)94-63/h12-19,32-35,39-46,48-65,71,74-83H,20-31H2,1-11H3/b18-17+/t32-,33-,34-,35-,39+,40+,41+,42-,43-,44-,45-,46-,48+,49+,50+,51-,52-,53+,54+,55-,56-,57-,58-,59-,60-,61+,62-,63-,64+,65+,66+,67-,68+,69+,70-/m1/s1
SMILES CC1C(C(CC(O1)OC2CCC3(C4CC(C5(C(CCC5(C4(CC=C3C2)O)O)(C(=O)C)O)C)OC(=O)C=CC6=CC=CC=C6)C)OC)OC7CC(C(C(O7)C)OC8C(C(C(C(O8)C)OC9CC(C(C(O9)C)OC1C(C(C(C(O1)COC1C(C(C(C(O1)CO)O)O)O)O)O)O)OC)OC)O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1426.68 Volume:   1370.406
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Van der Waals volume.
Dense:   1.041 LogP:   1.742
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.059
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.594
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The logarithm of aqueous solubility value.
Rotatable Bonds:   23.0 Rigid Bonds:   65.0
TPSA:   413.58
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Topological Polar Surface Area.
H-Bond Acceptor:   30.0
H-Bond Donor:   11.0 Rings:   11.0
Heavy Atoms:   30.0

MedChem Properties

QED Drug-Likeness Score:   0.041 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.904 Fsp3:   0.829
MCE-18:   303.656
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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:   0.01 Fluc inhibitor:   0.28
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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:   0.351
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.397 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.034 MDCK Permeability:   -5.236
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
PAMPA:   1.0
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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):   1.0
20% Bioavailability (F20%):   0.855 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   49.249% Volume Distribution (VD):   -0.64
Fu: 37.458%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.016 BCRP inhibitor:   0.0
BSEP inhibitor:   0.009

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.993 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.994 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.041 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  -0.515 Half-life (T1/2):  7.201

ADMET: Toxicity

hERG Blockers:  0.171 hERG Blockers (10um):  0.444
Human Hepatotoxicity (H-HT):  0.463 Drug-induced Liver Injury (DILI):  0.782
AMES Toxicity:  0.949 Rat Oral Acute Toxicity:  0.792
Maximum Recommended Daily Dose:  0.867 Skin Sensitization:  0.41
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.727 Ototoxicity:  1.0
Hematotoxicity:  0.002 Drug-induced Nephrotoxicity:  0.018
Genotoxicity:  0.727 RPMI-8226 Immunitoxicity:  0.591
A549 Cytotoxicity:  0.184 Hek293 Cytotoxicity:  0.993
BCF:   0.411
?
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:   3.679
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.887
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.352
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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
NPO32487 leptadenia pyrotechnica Species Apocynaceae Eukaryota whole plant Dogon region, Mali 2002-Apr PMID[16643040]
NPO32487 leptadenia pyrotechnica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT71 Cell line HEK293 Homo sapiens IC50 = 590.0 nM PMID[15646539]
NPT3470 Cell line WEHI-164 Mus musculus IC50 = 950.0 nM PMID[12161115]
NPT1182 Cell line J774.A1 Mus musculus IC50 = 620.0 nM DOI[10.1584/jpestics.28.183]

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 NPC473797 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
0.9533 High Similarity NPC475437
0.9533 High Similarity NPC475464
0.9346 High Similarity NPC473641
0.9346 High Similarity NPC475300
0.9107 High Similarity NPC475447
0.8661 High Similarity NPC476092
0.8482 Intermediate Similarity NPC70236
0.8151 Intermediate Similarity NPC475175
0.7895 Intermediate Similarity NPC475613
0.7851 Intermediate Similarity NPC475531
0.7851 Intermediate Similarity NPC475198
0.7615 Intermediate Similarity NPC102015
0.7478 Intermediate Similarity NPC475536
0.7442 Intermediate Similarity NPC476090
0.7368 Intermediate Similarity NPC165234
0.7368 Intermediate Similarity NPC481659
0.7368 Intermediate Similarity NPC271687
0.7209 Intermediate Similarity NPC481650
0.7167 Intermediate Similarity NPC475218
0.6991 Remote Similarity NPC481661
0.6991 Remote Similarity NPC481655
0.6842 Remote Similarity NPC475358
0.6842 Remote Similarity NPC473566
0.675 Remote Similarity NPC474564
0.6535 Remote Similarity NPC475567
0.632 Remote Similarity NPC481654
0.597 Remote Similarity NPC481660
0.5948 Remote Similarity NPC473519
0.594 Remote Similarity NPC481648
0.5785 Remote Similarity NPC473805
0.5776 Remote Similarity NPC481657
0.575 Remote Similarity NPC481658
0.575 Remote Similarity NPC79250
0.575 Remote Similarity NPC290746
0.5448 Remote Similarity NPC473557
0.5426 Remote Similarity NPC473468
0.5076 Remote Similarity NPC481662

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473797 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