Natural Product: NPC3915

Natural Product IDNPC3915
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Oxo-Erythrodiol
IUPAC Name (4aR,6aR,6bS,8aS,12aS,14aR,14bR)-8a-(hydroxymethyl)-4,4,6a,6b,11,11,14b-heptamethyl-2,4a,5,6,7,8,9,10,12,12a,14,14a-dodecahydro-1H-picen-3-one
Synonyms 3-Oxo-Erythrodiol
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1631831
PubChem CID 15127783
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 LCZGVWKWRGLAFX-CHMVMOPFSA-N
Standard InCHI InChI=1S/C30H48O2/c1-25(2)14-16-30(19-31)17-15-28(6)20(21(30)18-25)8-9-23-27(5)12-11-24(32)26(3,4)22(27)10-13-29(23,28)7/h8,21-23,31H,9-19H2,1-7H3/t21-,22-,23+,27-,28+,29+,30+/m0/s1
SMILES CC1(C)CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CCC(=O)C(C)(C)[C@@H]5CC[C@@]34C)[C@@H]2C1)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.37 Volume:   496.961
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Van der Waals volume.
Dense:   0.886 LogP:   4.614
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.118
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.148
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.433 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.668 Fsp3:   0.9
MCE-18:   101.333
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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:   0.832 Fluc inhibitor:   0.003
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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:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.662 Promiscuous compounds:   0.282

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.152 MDCK Permeability:   -4.88
Pgp-inhibitor:   0.49 Pgp-substrate:   0.0
PAMPA:   0.813
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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%):   0.182 30% Bioavailability (F30%):   0.082
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.995 MRP1:   0.85
Plasma Protein Binding (PPB):   97.293% Volume Distribution (VD):   0.277
Fu: 3.702%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.425 BCRP inhibitor:   0.538
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.984 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.037
CYP2C9-inhibitor:   0.005 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.005
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.722
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.628
HLM stability:   0.642
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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):  8.922 Half-life (T1/2):  0.353

ADMET: Toxicity

hERG Blockers:  0.046 hERG Blockers (10um):  0.173
Human Hepatotoxicity (H-HT):  0.693 Drug-induced Liver Injury (DILI):  0.518
AMES Toxicity:  0.391 Rat Oral Acute Toxicity:  0.443
Maximum Recommended Daily Dose:  0.406 Skin Sensitization:  0.913
Carcinogencity:  0.911 Eye Corrosion:  0.04
Eye Irritation:  0.534 Respiratory Toxicity:  0.771
Drug-induced Neurotoxicity:  0.473 Ototoxicity:  0.484
Hematotoxicity:  0.8 Drug-induced Nephrotoxicity:  0.874
Genotoxicity:  0.876 RPMI-8226 Immunitoxicity:  0.08
A549 Cytotoxicity:  0.362 Hek293 Cytotoxicity:  0.443
BCF:   2.08
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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:   4.184
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.45
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.947
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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
NPO17642 Chondropetalum paniculatum Species Restionaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15081 Aleuroglyphus ovatus Species Acaridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17642 Chondropetalum paniculatum Species Restionaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21797 Derris brevipes Species Fabaceae 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens Inhibition = 1.17 % PMID[20964318]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

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 NPC3915 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
0.7818 Intermediate Similarity NPC142754
0.7167 Intermediate Similarity NPC267517
0.6667 Remote Similarity NPC101475
0.6613 Remote Similarity NPC133954
0.6562 Remote Similarity NPC191965
0.6308 Remote Similarity NPC99254
0.6066 Remote Similarity NPC82477
0.5942 Remote Similarity NPC193750
0.5909 Remote Similarity NPC80784
0.5806 Remote Similarity NPC474488
0.5735 Remote Similarity NPC474845
0.5735 Remote Similarity NPC263272
0.5735 Remote Similarity NPC480926
0.5694 Remote Similarity NPC480922
0.5672 Remote Similarity NPC267691
0.5652 Remote Similarity NPC38754
0.5625 Remote Similarity NPC196753
0.5588 Remote Similarity NPC213412
0.5556 Remote Similarity NPC190035
0.5538 Remote Similarity NPC235341
0.5479 Remote Similarity NPC480923
0.5441 Remote Similarity NPC274050
0.5441 Remote Similarity NPC162632
0.5429 Remote Similarity NPC158141
0.5417 Remote Similarity NPC105189
0.5397 Remote Similarity NPC290598
0.5397 Remote Similarity NPC30590
0.5303 Remote Similarity NPC478657
0.5294 Remote Similarity NPC246708
0.5294 Remote Similarity NPC606009
0.5139 Remote Similarity NPC173089
0.5075 Remote Similarity NPC253807
0.5075 Remote Similarity NPC195334
0.5075 Remote Similarity NPC158662

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC3915 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
0.507 Remote Similarity NPD7645 Phase 2

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