Natural Product: NPC324598

Natural Product IDNPC324598
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.
Meliasenin P
IUPAC Name (3S,5R,9R,10R,13S,14S,17S)-17-[(2S,3S,5R)-5-[(2S)-3,3-dimethyloxiran-2-yl]-2-methoxyoxolan-3-yl]-4,4,10,13,14-pentamethyl-2,3,5,6,9,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-3-ol
Synonyms Meliasenin P
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1641924
PubChem CID 50900243
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 GAXWPVGTBQUYCI-HGVUNVDQSA-N
Standard InCHI InChI=1S/C31H50O4/c1-27(2)23-10-9-21-20(29(23,5)14-13-24(27)32)12-16-30(6)19(11-15-31(21,30)7)18-17-22(34-26(18)33-8)25-28(3,4)35-25/h9,18-20,22-26,32H,10-17H2,1-8H3/t18-,19-,20-,22+,23-,24-,25-,26-,29+,30-,31+/m0/s1
SMILES CC1(C(CCC2(C1CC=C3C2CCC4(C3(CCC4C5CC(OC5OC)C6C(O6)(C)C)C)C)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.37 Volume:   525.918
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Van der Waals volume.
Dense:   0.925 LogP:   4.158
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.017
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.504
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   28.0
TPSA:   51.22
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.365 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.099 Fsp3:   0.935
MCE-18:   113.4
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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:   0.095 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:   0.019
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.029
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.187 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.027 MDCK Permeability:   -4.818
Pgp-inhibitor:   0.091 Pgp-substrate:   0.462
PAMPA:   0.254
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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%):   0.017 30% Bioavailability (F30%):   0.014
50% Bioavailability (F50%):   0.968

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.941 MRP1:   1.0
Plasma Protein Binding (PPB):   89.335% Volume Distribution (VD):   0.234
Fu: 14.594%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.002
OATP1B3 inhibitor:   0.669 BCRP inhibitor:   0.014
BSEP inhibitor:   0.988

ADMET: Metabolism

CYP1A2-inhibitor:   0.864 CYP1A2-substrate:   0.02
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.922 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.871 CYP2D6-substrate:   0.903
CYP3A4-inhibitor:   0.102 CYP3A4-substrate:   0.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.003
HLM stability:   1.0
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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):  18.127 Half-life (T1/2):  1.234

ADMET: Toxicity

hERG Blockers:  0.209 hERG Blockers (10um):  0.671
Human Hepatotoxicity (H-HT):  0.399 Drug-induced Liver Injury (DILI):  0.113
AMES Toxicity:  0.125 Rat Oral Acute Toxicity:  0.309
Maximum Recommended Daily Dose:  0.786 Skin Sensitization:  0.637
Carcinogencity:  0.194 Eye Corrosion:  0.0
Eye Irritation:  0.055 Respiratory Toxicity:  0.583
Drug-induced Neurotoxicity:  0.589 Ototoxicity:  0.908
Hematotoxicity:  0.048 Drug-induced Nephrotoxicity:  0.009
Genotoxicity:  0.003 RPMI-8226 Immunitoxicity:  0.062
A549 Cytotoxicity:  0.353 Hek293 Cytotoxicity:  0.566
BCF:   2.747
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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:   5.207
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.27
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.141
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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 = 48.7 ug.mL-1 PMID[20961091]
NPT83 Cell line MCF7 Homo sapiens IC50 = 6.4 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 NPC324598 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
0.7969 Intermediate Similarity NPC484789
0.7969 Intermediate Similarity NPC484801
0.7969 Intermediate Similarity NPC484786
0.7969 Intermediate Similarity NPC484787
0.7969 Intermediate Similarity NPC484788
0.7727 Intermediate Similarity NPC5358
0.7727 Intermediate Similarity NPC216260
0.6957 Remote Similarity NPC484791
0.6957 Remote Similarity NPC484790
0.6567 Remote Similarity NPC125399
0.6567 Remote Similarity NPC486522
0.6567 Remote Similarity NPC470049
0.6324 Remote Similarity NPC470077
0.6133 Remote Similarity NPC63023
0.6133 Remote Similarity NPC95243
0.6111 Remote Similarity NPC471293
0.6 Remote Similarity NPC486523
0.5942 Remote Similarity NPC470224
0.5921 Remote Similarity NPC121566
0.5921 Remote Similarity NPC100955
0.5882 Remote Similarity NPC30166
0.5833 Remote Similarity NPC210268
0.5833 Remote Similarity NPC190604
0.5769 Remote Similarity NPC85593
0.5769 Remote Similarity NPC31430
0.5541 Remote Similarity NPC472240
0.5541 Remote Similarity NPC262858
0.5422 Remote Similarity NPC101450
0.5352 Remote Similarity NPC328052
0.5185 Remote Similarity NPC189282
0.5185 Remote Similarity NPC237402
0.507 Remote Similarity NPC1319

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC324598 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