Natural Product: NPC475175

Natural Product IDNPC475175
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(1S)-1-[(3S,8S,9R,10R,12R,13R,14R,17S)-8,14,17-Trihydroxy-3-[(2R,4S,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,3R,4S,5R,6R)-3-Hydroxy-4-Methoxy-6-Methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(Hydroxymethyl)Oxan-2-Yl]Oxyoxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-10,13-Dimethyl-12-[(E)-3-Phenylprop-2-Enoyl]Oxy-1,2,3,4,7,9,11,12,15,16-Decahydrocyclopenta[A]Phenanthren-17-Yl]Ethyl] Benzoate
IUPAC Name [(1S)-1-[(3S,8S,9R,10R,12R,13R,14R,17S)-8,14,17-trihydroxy-3-[(2R,4S,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,3R,4S,5R,6R)-3-hydroxy-4-methoxy-6-methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-10,13-dimethyl-12-[(E)-3-phenylprop-2-enoyl]oxy-1,2,3,4,7,9,11,12,15,16-decahydrocyclopenta[a]phenanthren-17-yl]ethyl] benzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL500083
PubChem CID 44566878
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 YEUOZAYTBFZMCA-RRAJTOTRSA-N
Standard InCHI InChI=1S/C71H102O26/c1-36-59(94-53-32-46(83-9)60(37(2)87-53)95-54-33-47(84-10)61(38(3)88-54)96-66-58(77)63(85-11)62(39(4)89-66)97-65-57(76)56(75)55(74)48(35-72)92-65)45(82-8)31-52(86-36)91-44-25-26-67(6)43(30-44)24-27-70(80)49(67)34-50(93-51(73)23-22-41-18-14-12-15-19-41)68(7)69(79,28-29-71(68,70)81)40(5)90-64(78)42-20-16-13-17-21-42/h12-24,36-40,44-50,52-63,65-66,72,74-77,79-81H,25-35H2,1-11H3/b23-22+/t36-,37-,38-,39-,40+,44+,45+,46-,47-,48-,49-,50-,52+,53+,54+,55-,56+,57-,58-,59-,60-,61-,62-,63+,65+,66+,67+,68-,69-,70+,71-/m1/s1
SMILES CC1C(C(CC(O1)OC2CCC3(C4CC(C5(C(CCC5(C4(CC=C3C2)O)O)(C(C)OC(=O)C6=CC=CC=C6)O)C)OC(=O)C=CC7=CC=CC=C7)C)OC)OC8CC(C(C(O8)C)OC9CC(C(C(O9)C)OC1C(C(C(C(O1)C)OC1C(C(C(C(O1)CO)O)O)O)OC)O)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1370.67 Volume:   1344.632
?
Van der Waals volume.
Dense:   1.019 LogP:   3.548
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.361
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.785
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   23.0 Rigid Bonds:   65.0
TPSA:   343.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   26.0
H-Bond Donor:   8.0 Rings:   11.0
Heavy Atoms:   26.0

MedChem Properties

QED Drug-Likeness Score:   0.05 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.635 Fsp3:   0.746
MCE-18:   287.968
?
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:   0.268 Fluc inhibitor:   0.315
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.042
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.334
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.4 Promiscuous compounds:   0.002

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.835 MDCK Permeability:   -5.248
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
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):   0.995
20% Bioavailability (F20%):   0.349 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   62.707% Volume Distribution (VD):   -0.582
Fu: 37.921%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.08 BCRP inhibitor:   0.0
BSEP inhibitor:   0.245

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.993 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.711 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.748 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):  0.806 Half-life (T1/2):  7.004

ADMET: Toxicity

hERG Blockers:  0.334 hERG Blockers (10um):  0.679
Human Hepatotoxicity (H-HT):  0.141 Drug-induced Liver Injury (DILI):  0.93
AMES Toxicity:  0.727 Rat Oral Acute Toxicity:  0.617
Maximum Recommended Daily Dose:  0.737 Skin Sensitization:  0.633
Carcinogencity:  0.006 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.835 Ototoxicity:  1.0
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.024
Genotoxicity:  0.41 RPMI-8226 Immunitoxicity:  0.477
A549 Cytotoxicity:  0.35 Hek293 Cytotoxicity:  0.995
BCF:   0.599
?
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:   3.758
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.919
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.584
?
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
NPO33108 leptadenia hastata Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[7623046]
NPO33108 leptadenia hastata Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[8786361]

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
NPT80 Cell line Raji Homo sapiens Activity = 16.0 % PMID[12825933]
NPT80 Cell line Raji Homo sapiens Activity = 15.0 % PMID[27186676]
NPT80 Cell line Raji Homo sapiens Activity = 6.0 % PMID[27186676]
NPT80 Cell line Raji Homo sapiens Activity = 5.0 % PMID[12825933]
NPT80 Cell line Raji Homo sapiens Activity = 3.0 % PMID[12825933]

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 NPC475175 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
0.9292 High Similarity NPC475531
0.9292 High Similarity NPC475198
0.8496 Intermediate Similarity NPC473641
0.8496 Intermediate Similarity NPC475300
0.8333 Intermediate Similarity NPC70236
0.8306 Intermediate Similarity NPC476090
0.8151 Intermediate Similarity NPC473797
0.812 Intermediate Similarity NPC475567
0.8 Intermediate Similarity NPC475447
0.7731 Intermediate Similarity NPC475437
0.7731 Intermediate Similarity NPC475464
0.7583 Intermediate Similarity NPC476092
0.7167 Intermediate Similarity NPC475613
0.7049 Intermediate Similarity NPC475218
0.7025 Intermediate Similarity NPC481654
0.7008 Intermediate Similarity NPC481660
0.6891 Remote Similarity NPC473468
0.687 Remote Similarity NPC102015
0.6777 Remote Similarity NPC475536
0.6724 Remote Similarity NPC475358
0.6724 Remote Similarity NPC473566
0.6667 Remote Similarity NPC165234
0.6667 Remote Similarity NPC481659
0.6667 Remote Similarity NPC271687
0.6639 Remote Similarity NPC474564
0.6587 Remote Similarity NPC473557
0.6471 Remote Similarity NPC481650
0.6303 Remote Similarity NPC481661
0.6303 Remote Similarity NPC481655
0.5646 Remote Similarity NPC481647
0.552 Remote Similarity NPC305378
0.5328 Remote Similarity NPC473519
0.5317 Remote Similarity NPC473805
0.5286 Remote Similarity NPC481648
0.5227 Remote Similarity NPC481662
0.5164 Remote Similarity NPC481657
0.5159 Remote Similarity NPC481658
0.5159 Remote Similarity NPC79250
0.5159 Remote Similarity NPC290746

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475175 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