Natural Product: NPC137306

Natural Product IDNPC137306
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-O-Acetyldaturadiol
IUPAC Name [(3S,4aR,5R,6aR,6bS,8aR,12aR,14aR,14bR)-5-hydroxy-4,4,6a,6b,8a,11,11,14b-octamethyl-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl] acetate
Synonyms 3-O-Acetyldaturadiol
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL515444
PubChem CID 21672207
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 KHNOTTSLMUNERG-FNTGSRHESA-N
Standard InCHI InChI=1S/C32H52O3/c1-20(33)35-25-12-13-30(7)24-11-10-21-22-18-27(2,3)14-15-29(22,6)16-17-31(21,8)32(24,9)19-23(34)26(30)28(25,4)5/h10,22-26,34H,11-19H2,1-9H3/t22-,23+,24+,25-,26-,29+,30+,31+,32+/m0/s1
SMILES CC(=O)O[C@H]1CC[C@]2([C@H](C1(C)C)[C@H](O)C[C@@]1([C@@H]2CC=C2[C@@]1(C)CC[C@@]1([C@H]2CC(C)(C)CC1)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   484.39 Volume:   540.343
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Van der Waals volume.
Dense:   0.896 LogP:   3.773
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.597
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.792
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   46.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.306 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.834 Fsp3:   0.906
MCE-18:   106.23
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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:   0.947 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:   0.064
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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:   0.359 Promiscuous compounds:   0.341

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.837 MDCK Permeability:   -4.724
Pgp-inhibitor:   1.0 Pgp-substrate:   0.004
PAMPA:   0.144
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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):   0.002
20% Bioavailability (F20%):   0.994 30% Bioavailability (F30%):   0.984
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.842 MRP1:   0.889
Plasma Protein Binding (PPB):   96.426% Volume Distribution (VD):   0.051
Fu: 4.26%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.452
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.992 CYP2C19-substrate:   0.26
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.95
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.898
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
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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):  9.506 Half-life (T1/2):  0.344

ADMET: Toxicity

hERG Blockers:  0.064 hERG Blockers (10um):  0.339
Human Hepatotoxicity (H-HT):  0.512 Drug-induced Liver Injury (DILI):  0.316
AMES Toxicity:  0.115 Rat Oral Acute Toxicity:  0.36
Maximum Recommended Daily Dose:  0.468 Skin Sensitization:  0.765
Carcinogencity:  0.709 Eye Corrosion:  0.028
Eye Irritation:  0.362 Respiratory Toxicity:  0.336
Drug-induced Neurotoxicity:  0.055 Ototoxicity:  0.384
Hematotoxicity:  0.373 Drug-induced Nephrotoxicity:  0.36
Genotoxicity:  0.314 RPMI-8226 Immunitoxicity:  0.04
A549 Cytotoxicity:  0.261 Hek293 Cytotoxicity:  0.482
BCF:   2.668
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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:   4.706
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.126
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.831
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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
NPO15083 Mussaenda macrophylla Species Rubiaceae Eukaryota root bark n.a. n.a. PMID[10543897]
NPO15083 Mussaenda macrophylla Species Rubiaceae 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
NPT878 Organism Streptococcus mutans Streptococcus mutans MIC > 1250.0 ug.mL-1 PubChem BioAssay data set
NPT1127 Organism Porphyromonas gingivalis Porphyromonas gingivalis MIC = 78.0 ug.mL-1 PMID[25798528]

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 NPC137306 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
0.7049 Intermediate Similarity NPC195334
0.6269 Remote Similarity NPC191965
0.6154 Remote Similarity NPC224145
0.6056 Remote Similarity NPC260149
0.6029 Remote Similarity NPC10005
0.6029 Remote Similarity NPC91525
0.5942 Remote Similarity NPC286786
0.5882 Remote Similarity NPC162107
0.5882 Remote Similarity NPC46912
0.5867 Remote Similarity NPC327179
0.5753 Remote Similarity NPC488520
0.5417 Remote Similarity NPC23621
0.5385 Remote Similarity NPC290598
0.5385 Remote Similarity NPC30590
0.5362 Remote Similarity NPC480944
0.5294 Remote Similarity NPC290495
0.5294 Remote Similarity NPC475862
0.5217 Remote Similarity NPC470588
0.5195 Remote Similarity NPC86368
0.5195 Remote Similarity NPC488522
0.5072 Remote Similarity NPC478657
0.507 Remote Similarity NPC84121
0.5063 Remote Similarity NPC488524

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC137306 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