Natural Product: NPC320026

Natural Product IDNPC320026
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Meliasenin J
IUPAC Name (5R,9R,10R,13S,14S,16S,17S)-17-[(E,2R)-6-hydroperoxy-6-methylhept-4-en-2-yl]-16-hydroxy-4,4,10,13,14-pentamethyl-1,2,5,6,9,11,12,15,16,17-decahydrocyclopenta[a]phenanthren-3-one
Synonyms Meliasenin J
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1641918
PubChem CID 50908888
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 KXEPOJYGPBBQJS-LKJGIETFSA-N
Standard InCHI InChI=1S/C30H48O4/c1-19(10-9-15-26(2,3)34-33)25-22(31)18-30(8)21-11-12-23-27(4,5)24(32)14-16-28(23,6)20(21)13-17-29(25,30)7/h9,11,15,19-20,22-23,25,31,33H,10,12-14,16-18H2,1-8H3/b15-9+/t19-,20+,22+,23+,25-,28-,29+,30-/m1/s1
SMILES OOC(/C=C/C[C@H]([C@@H]1[C@@H](O)C[C@]2([C@@]1(C)CC[C@H]1C2=CC[C@@H]2[C@]1(C)CCC(=O)C2(C)C)C)C)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   520.462
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Van der Waals volume.
Dense:   0.908 LogP:   4.332
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.913
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.329
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   22.0
TPSA:   66.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.257 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.176 Fsp3:   0.833
MCE-18:   85.309
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.912 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:   0.008
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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:   0.335 Promiscuous compounds:   0.178

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.132 MDCK Permeability:   -4.936
Pgp-inhibitor:   0.998 Pgp-substrate:   0.0
PAMPA:   0.03
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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):   0.001
20% Bioavailability (F20%):   0.031 30% Bioavailability (F30%):   0.057
50% Bioavailability (F50%):   0.875

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.645
Plasma Protein Binding (PPB):   93.3% Volume Distribution (VD):   0.194
Fu: 5.671%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.287
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.7 CYP1A2-substrate:   0.011
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.995
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.794
?
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):  10.796 Half-life (T1/2):  0.481

ADMET: Toxicity

hERG Blockers:  0.097 hERG Blockers (10um):  0.204
Human Hepatotoxicity (H-HT):  0.688 Drug-induced Liver Injury (DILI):  0.777
AMES Toxicity:  0.41 Rat Oral Acute Toxicity:  0.404
Maximum Recommended Daily Dose:  0.778 Skin Sensitization:  0.979
Carcinogencity:  0.907 Eye Corrosion:  0.0
Eye Irritation:  0.014 Respiratory Toxicity:  0.399
Drug-induced Neurotoxicity:  0.321 Ototoxicity:  0.784
Hematotoxicity:  0.754 Drug-induced Nephrotoxicity:  0.711
Genotoxicity:  0.978 RPMI-8226 Immunitoxicity:  0.145
A549 Cytotoxicity:  0.15 Hek293 Cytotoxicity:  0.793
BCF:   1.567
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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:   3.905
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.494
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.771
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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
NPO31089 Melia toosendan Species Meliaceae Eukaryota n.a. n.a. n.a. PMID[19341288]
NPO31089 Melia toosendan Species Meliaceae Eukaryota n.a. fruit n.a. PMID[20961091]
NPO31089 Melia toosendan Species Meliaceae Eukaryota fruits Wanyuan County, Sichuan Province, China 2007-OCT PMID[20961091]
NPO31089 Melia toosendan Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31089 Melia toosendan Species Meliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]

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
NPT1045 Cell line U2OS Homo sapiens IC50 = 14.3 ug.mL-1 PMID[20961091]
NPT83 Cell line MCF7 Homo sapiens IC50 = 1.1 ug.mL-1 PMID[20961091]

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 NPC320026 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
0.803 Intermediate Similarity NPC57416
0.7903 Intermediate Similarity NPC2983
0.7302 Intermediate Similarity NPC82902
0.7273 Intermediate Similarity NPC317590
0.7231 Intermediate Similarity NPC318390
0.7077 Intermediate Similarity NPC469994
0.6769 Remote Similarity NPC474218
0.6567 Remote Similarity NPC171441
0.6338 Remote Similarity NPC107243
0.6301 Remote Similarity NPC322063
0.6197 Remote Similarity NPC154101
0.6027 Remote Similarity NPC218383
0.6027 Remote Similarity NPC474327
0.5942 Remote Similarity NPC470052
0.5694 Remote Similarity NPC486521
0.5694 Remote Similarity NPC262870
0.5588 Remote Similarity NPC470078
0.5493 Remote Similarity NPC90652
0.5493 Remote Similarity NPC155255
0.5493 Remote Similarity NPC260992
0.5278 Remote Similarity NPC470417
0.527 Remote Similarity NPC471224
0.507 Remote Similarity NPC247220

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC320026 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