Natural Product: NPC270306

Natural Product IDNPC270306
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Epiocotillol
IUPAC Name (3R,5R,8R,9R,10R,13R,14R,17S)-17-[(2S,5R)-5-(2-hydroxypropan-2-yl)-2-methyloxolan-2-yl]-4,4,8,10,14-pentamethyl-2,3,5,6,7,9,11,12,13,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-3-ol
Synonyms 3-Epiocotillol II
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL375698
PubChem CID 12313664
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 RQBNSDSKUAGBOI-WODPVNBQSA-N
Standard InCHI InChI=1S/C30H52O3/c1-25(2)21-12-17-29(7)22(27(21,5)15-13-23(25)31)10-9-19-20(11-16-28(19,29)6)30(8)18-14-24(33-30)26(3,4)32/h19-24,31-32H,9-18H2,1-8H3/t19-,20+,21+,22-,23-,24-,27+,28-,29-,30+/m1/s1
SMILES CC1(C)[C@@H]2CC[C@]3(C)[C@H](CC[C@@H]4[C@H](CC[C@@]34C)[C@]3(C)CC[C@H](C(C)(C)O)O3)[C@@]2(C)CC[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   460.39 Volume:   511.024
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Van der Waals volume.
Dense:   0.901 LogP:   4.8
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.419
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.73
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   25.0
TPSA:   49.69
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.48 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.776 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:   0.885 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:   0.005
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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:   0.525 Promiscuous compounds:   0.307

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.116 MDCK Permeability:   -4.885
Pgp-inhibitor:   0.981 Pgp-substrate:   0.026
PAMPA:   0.042
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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%):   0.018 30% Bioavailability (F30%):   0.006
50% Bioavailability (F50%):   0.644

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.743 MRP1:   0.937
Plasma Protein Binding (PPB):   96.682% Volume Distribution (VD):   -0.181
Fu: 4.316%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.949 BCRP inhibitor:   0.123
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.052 CYP1A2-substrate:   0.048
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.011 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.991 CYP2D6-substrate:   0.295
CYP3A4-inhibitor:   0.929 CYP3A4-substrate:   0.19
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.404
HLM stability:   0.863
?
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):  14.806 Half-life (T1/2):  1.053

ADMET: Toxicity

hERG Blockers:  0.056 hERG Blockers (10um):  0.208
Human Hepatotoxicity (H-HT):  0.505 Drug-induced Liver Injury (DILI):  0.053
AMES Toxicity:  0.357 Rat Oral Acute Toxicity:  0.301
Maximum Recommended Daily Dose:  0.542 Skin Sensitization:  0.911
Carcinogencity:  0.838 Eye Corrosion:  0.039
Eye Irritation:  0.68 Respiratory Toxicity:  0.61
Drug-induced Neurotoxicity:  0.013 Ototoxicity:  0.61
Hematotoxicity:  0.177 Drug-induced Nephrotoxicity:  0.634
Genotoxicity:  0.297 RPMI-8226 Immunitoxicity:  0.071
A549 Cytotoxicity:  0.143 Hek293 Cytotoxicity:  0.46
BCF:   1.914
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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:   3.733
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.968
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.439
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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
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota floral spikes n.a. n.a. PMID[17346076]
NPO32464 dysoxylum binecteriferum Species Meliaceae Eukaryota stem bark n.a. n.a. PMID[24547740]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota bark n.a. n.a. PMID[9873651]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]

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
NPT91 Cell line KB Homo sapiens IC50 = 43400.0 nM PMID[20022253]
NPT111 Cell line K562 Homo sapiens IC50 = 48500.0 nM Open TG-GATES in vivo data: Organ Weight
NPT83 Cell line MCF7 Homo sapiens IC50 = 57900.0 nM Open TG-GATES in vivo data: Organ Weight
NPT407 Cell line COLO 205 Homo sapiens IC50 = 67500.0 nM Open TG-GATES in vivo data: Organ Weight
NPT65 Cell line HepG2 Homo sapiens IC50 > 50000.0 nM PMID[17850214]
NPT83 Cell line MCF7 Homo sapiens IC50 > 50000.0 nM PMID[17190469]
NPT81 Cell line A549 Homo sapiens IC50 > 50000.0 nM DrugMatrix in vivo data: Biochemistry
NPT113 Cell line RAW264.7 Mus musculus IC50 > 100000.0 nM PMID[18077363]

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 NPC270306 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 NPC91387
1.0 High Similarity NPC231680
0.8333 Intermediate Similarity NPC133596
0.8333 Intermediate Similarity NPC11907
0.7455 Intermediate Similarity NPC64081
0.6897 Remote Similarity NPC245029
0.6897 Remote Similarity NPC31302
0.6786 Remote Similarity NPC58631
0.678 Remote Similarity NPC190940
0.678 Remote Similarity NPC292458
0.678 Remote Similarity NPC217559
0.678 Remote Similarity NPC268578
0.6613 Remote Similarity NPC111582
0.625 Remote Similarity NPC103782
0.6032 Remote Similarity NPC250687
0.6032 Remote Similarity NPC48824
0.6032 Remote Similarity NPC148740
0.6032 Remote Similarity NPC102156
0.5938 Remote Similarity NPC80700
0.5873 Remote Similarity NPC474574
0.5846 Remote Similarity NPC254572
0.5846 Remote Similarity NPC229407
0.5846 Remote Similarity NPC269267
0.5833 Remote Similarity NPC201725
0.5797 Remote Similarity NPC114378
0.5758 Remote Similarity NPC311642
0.5758 Remote Similarity NPC164289
0.5758 Remote Similarity NPC100366
0.5758 Remote Similarity NPC471747
0.5758 Remote Similarity NPC242771
0.5636 Remote Similarity NPC232112
0.5517 Remote Similarity NPC480925
0.5517 Remote Similarity NPC48079
0.5484 Remote Similarity NPC81074
0.5484 Remote Similarity NPC477282
0.5246 Remote Similarity NPC245869
0.5231 Remote Similarity NPC477577
0.5161 Remote Similarity NPC285761
0.5161 Remote Similarity NPC34930
0.5152 Remote Similarity NPC477285
0.5139 Remote Similarity NPC479791
0.5085 Remote Similarity NPC142712
0.5082 Remote Similarity NPC97534
0.5082 Remote Similarity NPC195155
0.5079 Remote Similarity NPC602784
0.5077 Remote Similarity NPC49599
0.5077 Remote Similarity NPC49627
0.5077 Remote Similarity NPC477508
0.5077 Remote Similarity NPC603388
0.5075 Remote Similarity NPC131665
0.5075 Remote Similarity NPC255387

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC270306 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