Natural Product: NPC133596

Natural Product IDNPC133596
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(4R,20S,24R)-Epoxydammarane-3Alpha,25,28-Triol
IUPAC Name (3R,4R,5R,8R,9R,10R,13R,14R,17S)-4-(hydroxymethyl)-17-[(2S,5R)-5-(2-hydroxypropan-2-yl)-2-methyloxolan-2-yl]-4,8,10,14-tetramethyl-2,3,5,6,7,9,11,12,13,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-3-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3109463
PubChem CID 76310275
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 GHWLHGPBZCFOOC-KQJYESDVSA-N
Standard InCHI InChI=1S/C30H52O4/c1-25(2,33)24-13-17-30(7,34-24)20-10-15-28(5)19(20)8-9-22-26(3)14-12-23(32)27(4,18-31)21(26)11-16-29(22,28)6/h19-24,31-33H,8-18H2,1-7H3/t19-,20+,21-,22-,23-,24-,26+,27+,28-,29-,30+/m1/s1
SMILES CC(C)([C@H]1CC[C@@](C)([C@H]2CC[C@]3(C)[C@@H]2CC[C@@H]2[C@@]4(C)CC[C@H]([C@@](C)(CO)[C@@H]4CC[C@@]32C)O)O1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   476.39 Volume:   519.815
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Van der Waals volume.
Dense:   0.916 LogP:   3.796
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.845
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.558
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   25.0
TPSA:   69.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.488 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.923 Fsp3:   1.0
MCE-18:   105.3
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.78 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:   0.003
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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:   0.449 Promiscuous compounds:   0.441

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.226 MDCK Permeability:   -4.928
Pgp-inhibitor:   0.872 Pgp-substrate:   0.047
PAMPA:   0.757
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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):   0.0
20% Bioavailability (F20%):   0.174 30% Bioavailability (F30%):   0.016
50% Bioavailability (F50%):   0.933

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.534 MRP1:   0.822
Plasma Protein Binding (PPB):   90.714% Volume Distribution (VD):   -0.252
Fu: 9.402%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.192 BCRP inhibitor:   0.375
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.029 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.087 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.951 CYP2D6-substrate:   0.01
CYP3A4-inhibitor:   0.988 CYP3A4-substrate:   0.5
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.705
HLM stability:   0.171
?
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):  12.778 Half-life (T1/2):  1.216

ADMET: Toxicity

hERG Blockers:  0.049 hERG Blockers (10um):  0.172
Human Hepatotoxicity (H-HT):  0.5 Drug-induced Liver Injury (DILI):  0.062
AMES Toxicity:  0.385 Rat Oral Acute Toxicity:  0.25
Maximum Recommended Daily Dose:  0.347 Skin Sensitization:  0.972
Carcinogencity:  0.854 Eye Corrosion:  0.028
Eye Irritation:  0.637 Respiratory Toxicity:  0.477
Drug-induced Neurotoxicity:  0.011 Ototoxicity:  0.72
Hematotoxicity:  0.233 Drug-induced Nephrotoxicity:  0.55
Genotoxicity:  0.17 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.131 Hek293 Cytotoxicity:  0.391
BCF:   1.481
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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:   3.529
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.877
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.19
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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
NPO32464 dysoxylum binecteriferum Species Meliaceae Eukaryota stem bark n.a. n.a. PMID[24547740]

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
NPT65 Cell line HepG2 Homo sapiens IC50 > 50000.0 nM PMID[24079846]
NPT83 Cell line MCF7 Homo sapiens IC50 = 23000.0 nM PMID[19742452]
NPT81 Cell line A549 Homo sapiens IC50 > 50000.0 nM PMID[20655237]
NPT113 Cell line RAW264.7 Mus musculus IC50 > 100000.0 nM PMID[10785413]

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 NPC133596 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
1.0 High Similarity NPC11907
0.8333 Intermediate Similarity NPC91387
0.8333 Intermediate Similarity NPC231680
0.8333 Intermediate Similarity NPC270306
0.7 Intermediate Similarity NPC292458
0.7 Intermediate Similarity NPC217559
0.7 Intermediate Similarity NPC268578
0.6557 Remote Similarity NPC245029
0.6557 Remote Similarity NPC31302
0.6452 Remote Similarity NPC190940
0.623 Remote Similarity NPC64081
0.597 Remote Similarity NPC103782
0.5758 Remote Similarity NPC250687
0.5758 Remote Similarity NPC48824
0.5758 Remote Similarity NPC148740
0.5758 Remote Similarity NPC102156
0.5735 Remote Similarity NPC311642
0.5735 Remote Similarity NPC164289
0.5735 Remote Similarity NPC100366
0.5735 Remote Similarity NPC471747
0.5735 Remote Similarity NPC242771
0.5672 Remote Similarity NPC80700
0.5645 Remote Similarity NPC58631
0.5588 Remote Similarity NPC254572
0.5588 Remote Similarity NPC229407
0.5588 Remote Similarity NPC111582
0.5588 Remote Similarity NPC269267
0.5556 Remote Similarity NPC114378
0.5147 Remote Similarity NPC474574

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC133596 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