Natural Product: NPC470224

Natural Product IDNPC470224
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Hydroxy-24,25,26,27-Tetranortirucall-7-Ene-23(21)-Lactone
IUPAC Name 4-[(3R,5R,9R,10R,13S,14S,17S)-3-hydroxy-4,4,10,13,14-pentamethyl-2,3,5,6,9,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-17-yl]oxolan-2-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1835431
PubChem CID 12992565
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones

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 JUXMUKOXQMUUKD-GUWAIDGQSA-N
Standard InCHI InChI=1S/C26H40O3/c1-23(2)20-7-6-19-18(24(20,3)11-10-21(23)27)9-13-25(4)17(8-12-26(19,25)5)16-14-22(28)29-15-16/h6,16-18,20-21,27H,7-15H2,1-5H3/t16?,17-,18-,20-,21+,24+,25-,26+/m0/s1
SMILES O=C1OCC(C1)[C@@H]1CC[C@]2([C@@]1(C)CC[C@H]1C2=CC[C@@H]2[C@]1(C)CC[C@H](C2(C)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   400.3 Volume:   436.568
?
Van der Waals volume.
Dense:   0.917 LogP:   3.971
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.615
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.974
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   26.0
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:   0.466 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.669 Fsp3:   0.885
MCE-18:   92.98
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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:   0.757 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
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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:   0.432 Promiscuous compounds:   0.25

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.768 MDCK Permeability:   -4.608
Pgp-inhibitor:   0.166 Pgp-substrate:   0.318
PAMPA:   0.814
?
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%):   0.292 30% Bioavailability (F30%):   0.057
50% Bioavailability (F50%):   0.985

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.953 MRP1:   0.875
Plasma Protein Binding (PPB):   89.022% Volume Distribution (VD):   -0.087
Fu: 13.606%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   0.783
BSEP inhibitor:   0.607

ADMET: Metabolism

CYP1A2-inhibitor:   0.91 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.056
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.091
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.992
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.32
?
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):  10.937 Half-life (T1/2):  0.529

ADMET: Toxicity

hERG Blockers:  0.088 hERG Blockers (10um):  0.368
Human Hepatotoxicity (H-HT):  0.772 Drug-induced Liver Injury (DILI):  0.684
AMES Toxicity:  0.641 Rat Oral Acute Toxicity:  0.612
Maximum Recommended Daily Dose:  0.869 Skin Sensitization:  0.99
Carcinogencity:  0.953 Eye Corrosion:  0.018
Eye Irritation:  0.525 Respiratory Toxicity:  0.744
Drug-induced Neurotoxicity:  0.555 Ototoxicity:  0.549
Hematotoxicity:  0.749 Drug-induced Nephrotoxicity:  0.911
Genotoxicity:  0.919 RPMI-8226 Immunitoxicity:  0.132
A549 Cytotoxicity:  0.721 Hek293 Cytotoxicity:  0.598
BCF:   2.008
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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:   4.309
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.652
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.198
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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
NPO11885 Dysoxylum lenticellatum Species Meliaceae Eukaryota twigs and leaves Yunnan Province, China 2008-OCT PMID[21954912]
NPO11885 Dysoxylum lenticellatum Species Meliaceae Eukaryota n.a. leaf n.a. PMID[21954912]
NPO11885 Dysoxylum lenticellatum Species Meliaceae Eukaryota n.a. twig n.a. PMID[21954912]
NPO11885 Dysoxylum lenticellatum Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11885 Dysoxylum lenticellatum Species Meliaceae 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
NPT177 Tissue Aorta Rattus norvegicus Activity = 37.5 % PMID[22694318]

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 NPC470224 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
0.7143 Intermediate Similarity NPC210268
0.7143 Intermediate Similarity NPC190604
0.6885 Remote Similarity NPC470223
0.6452 Remote Similarity NPC30166
0.6418 Remote Similarity NPC471293
0.6406 Remote Similarity NPC470077
0.6406 Remote Similarity NPC125399
0.6406 Remote Similarity NPC486522
0.6406 Remote Similarity NPC470049
0.6324 Remote Similarity NPC484791
0.6324 Remote Similarity NPC484790
0.6308 Remote Similarity NPC486523
0.6269 Remote Similarity NPC472240
0.6269 Remote Similarity NPC262858
0.6094 Remote Similarity NPC328052
0.6029 Remote Similarity NPC484789
0.6029 Remote Similarity NPC484801
0.6029 Remote Similarity NPC484786
0.6029 Remote Similarity NPC484787
0.6029 Remote Similarity NPC484788
0.5942 Remote Similarity NPC324598
0.5857 Remote Similarity NPC5358
0.5857 Remote Similarity NPC216260
0.5538 Remote Similarity NPC1319
0.5429 Remote Similarity NPC142361
0.5429 Remote Similarity NPC474684
0.5352 Remote Similarity NPC470375
0.5352 Remote Similarity NPC470376
0.5342 Remote Similarity NPC273669
0.5342 Remote Similarity NPC484802
0.5342 Remote Similarity NPC118647
0.5286 Remote Similarity NPC318390
0.5256 Remote Similarity NPC609156
0.5224 Remote Similarity NPC235341
0.5217 Remote Similarity NPC196485
0.5217 Remote Similarity NPC245972
0.5211 Remote Similarity NPC472227
0.5211 Remote Similarity NPC472228
0.5139 Remote Similarity NPC470050
0.5139 Remote Similarity NPC470051

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470224 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